Mark's business plan register, as committed to the founders repository on 11 Nov 2026 (commit 76851e3). Rendered copy; the repository file is the source of truth.
0. Order of work and decisions log1. Purpose, mission, vision2. The offering — what we sell3. Customers and segments4. Sector sequencing5. Pricing and revenue model6. Go-to-market7. Delivery and operating model; founders' roles — placeholder8. Firm vs company; funding and runway — framed, not decided9. Competition and the written Copilot answer10. IP and legal — the questions, and the principles we start from11. Market size — later (needed for a raise, not for the first clients)12. Financial model — later (a runway sheet first; the full model once §8 is decided)13. Risks and milestones — runningAppendix A — Threads from the 5 Nov 2026 planning sessionAppendix B — Contradictions to resolveAppendix C — Receipts ledger (what is actually proven)

Business plan — the register

Started 6 Nov 2026. The plan as a register: one section per thing a credible plan needs, every statement tagged, every statement sourced. Built section by section in the order in §0. This file is the source of truth; slides and review copies are generated from it, never edited separately. Lives in the private founders repository. Channel partners may be named; prospects are not named until they are clients.

Tags. [agreed] the founders have said yes · [proposed] one founder has put it forward, or it was argued in the pack without a decision · [open] undecided, with the question stated. Evidence. receipted lessons from real work exist · part some receipts · hypothesis designed, not run. The plan must not overclaim: only sourcing (document build, evaluation) and part of elicitation (ARIA/GIS interviewer, BIA tool) are receipted; every strategy-stage asset is hypothesis; WSV is a reference architecture and a laptop prototype, not a running gateway; the harness (builder/QA agents, repo template, leak check) has not yet run a client build. Sources. S# founders' pack slide · WN working note (16–20 Oct) · T planning session 5 Nov 2026 (sessions/sunrise.docx) · SN:name Sunrise note · WSV# WSV deck slide · D:date decision in chat.

0. Order of work and decisions log

Order agreed 6 Nov: offering → customers and segments → sector sequencing → pricing and entry offer → go-to-market → operating model and founders' roles → firm vs company, funding, runway → competition and the Copilot answer → IP and legal → market size → financial model → risks and milestones (running register). [agreed] D:2026-11-06

Date Decision Status
16 Oct Purpose, mission, vision as in §1 [agreed] S13
16 Oct Enablement model: embed → build → install method, loop and role → licence [agreed] S5
16 Oct Pitch as "first and most proven in a specific place", never as unique [agreed] S6
20 Oct The farm is the asset; the harvest is disposable [agreed] WN
5 Nov "Friction" is the mission, not the first pitch; the first pitch is IT-specific [agreed] T
5 Nov Not an AI company; attack a business problem; no AI-fluency seminars as the story [agreed] T
6 Nov The offering is one thing in four layers, led by IT management; WSV is architecture, not the lead (§2) [agreed] D:2026-11-06
6 Nov Plan format: this register; repo is the source [agreed] D:2026-11-06
6 Nov Three founders [agreed] D:2026-11-06
6 Nov Mobility Futures is a channel partner; its IP-partnering terms are open (§10) [agreed] / [open] D:2026-11-06
6 Nov No third sector until receipts exist in two [agreed] D:2026-11-06
6 Nov Entry offer: priced, credited, balance paid in receipts (§5.3 option C) for the first three clients, then asset-priced; A and B kept as alternatives [agreed] D:2026-11-06
11 Nov WSV: assemble, don't build; build the gate rules and SOCI dictionary; partner for hosting and tokenisation; resell nothing (§9.6) [proposed] D:2026-11-11
11 Nov Exit to a lab's deployment arm, a Big 4 or a security vendor recorded as an option; tilts §8 to company (§8.1) [proposed] D:2026-11-11
11 Nov Competitive positioning against the labs' arms: insulate clients from the meter and the engineer; own the bulk, rent the residual (§9.7). Tension with a lab exit noted [proposed] D:2026-11-11
6 Nov Prospects are not named in this file until they are clients; channel partners may be named [agreed] D:2026-11-06

1. Purpose, mission, vision

2. The offering — what we sell

One offering, four layers. Sold top-down (the client buys an engagement), built bottom-up (the factory and the architecture make it possible). [agreed] D:2026-11-06

Layer What it is What the client gets / what we keep Evidence
1. Engagements — how you buy it Entry points in IT management where the friction is felt: technology strategy and roadmap (draft-first), the demand → ARB → PMO chain, sourcing, bid/RFP production, compliance and BIA work A measured result on one piece of work, baselined before and after Sourcing receipted; elicitation part; strategy, demand/ARB/PMO hypothesis
2. Micro-assets — what you get The harvest: registers, generators, workshop-in-software, evaluation apps, conformance checks, the strategy agent Owned outright by the client; rebuilt from spec, never patched Evaluation app, document build receipted; workshop tool part; the rest hypothesis
3. The factory — what recurs Method (rulebook, playbook, QA role), harness (builder/QA agents, deterministic gates, registers, receipts), learning loop, industry templates, the strategy agent as the living asset Licensed and updated; "we keep the method" in every agreement; client profile stays theirs Method receipted (213 lessons); harness built, first build pending; strategy agent hypothesis
4. WSV — what lets it run on sensitive data Deterministic gate, tiering at ingestion, local model for Safe/Vault, deployment profile per client (Copilot tenancy, onshore cloud, local box, our rented box) Containment a regulator can read; the answer to "how does this run against my Copilot?" Reference architecture and prototype; no running gateway hypothesis

2.1 The first pitch: taking the friction out of IT management

2.2 What recurs, decided enough to plan on

2.3 Framings considered and not chosen (6 Nov)

2.4 How this differs from the labs' deployment arms (11 Nov)

Ode with Anthropic and the OpenAI Deployment Company (§9.5) share our delivery model word for word: embed, build inside the process, leave something behind. They do not sell micro-assets; they sell the thing micro-assets replace: embedded engineers who build bespoke systems around a frontier model and stay to run them. The divergence is each property on S3: [proposed] D:2026-11-11

Property of a micro-asset Their model Ours
Small, disposable, rebuilt from spec A system an engineering team built; the engineers stay because it needs them A piece of work rebuilt from the spec; the method, not the people, is what persists
Provable Working software; trust is "our engineers built it" Per-output evidence: registers, assertions, a QA role, a decision log a regulator reads
Compounding in the client's hands Capability installed by keeping people on site; recurring revenue is headcount A method, a learning loop and a client-side owner; recurring revenue is a licence
Model-neutral by construction Claude-first or OpenAI-first by charter The spec is the source of truth; the model is a line-up choice per tier (WSV)

The line to test: their engineers stay because the system needs them; ours leave because it doesn't. The risk (S6) is that from outside the two look the same until a client asks three questions: who can rebuild it, what proves it, and who owns the loop. Those three questions are the pitch when a CIO says the labs will do it for them (§6.2). [proposed]

3. Customers and segments

3.1 Who the customer is

3.2 Three routes to the customer

Route How it works First instance Status
Direct, through the founders' relationships Energy and transmission in NSW; sectors where the founders have worked and hold receipts (sourcing) Existing network [proposed] T
Through domain boutiques A boutique consultancy holding sector relationships brings the client and the domain; we bring the method, the factory and the delivery. Mobility Futures, a transport boutique Mark works with. The first draft-first technology-strategy prospect came through it. Channel partner, not a factory customer. [agreed] D:2026-11-06. Its role is tricky and there is an IP-partnering issue to resolve. [open] → §10 [agreed] channel; [open] terms
Through bids Companies bidding for regulated-sector contracts; bid and RFP production as the entry engagement, the strategy and spine behind it Transport operators bidding for franchise renewals [proposed] T

The boutique route is the part of thread 8 we keep: partner with firms that hold relationships we do not, rather than enabling any consultancy that asks. The Mobility Futures arrangement needs settling before the first engagement runs under it, and the terms it sets become the template for any second boutique: who owns the client relationship, who holds the IP in the method, the assets and the client's spine, how revenue is shared. [open] → §10

3.3 Not our customer, for now

3.4 Where the spine goes after IT (depth before breadth)

Within an existing client, the next circles on the capability map are compliance, risk and regulatory reporting (the spreadsheet-out, spreadsheet-back cycle), then asset and operations management. These are extensions sold to a client who already owns the spine, not new segments. [proposed] T, WN 20 Oct

4. Sector sequencing

Order Sector Why What is there today Status
1 Energy — transmission, renewables, networks Relationships, SOCI/CIRMP fluency, the only receipts (sourcing, evaluation, BIA) Receipts; one concession engagement [proposed] T, S5
1 (parallel) Transport — private operators and bidders, via Mobility Futures A channel with relationships; the first draft-first strategy prospect; franchise bids as a second entry Prospect; no receipts yet [proposed] T
2 Compliance, risk and regulatory reporting inside clients from 1 Extension of the spine, not a new sale Hypothesis [proposed] T
3 Health, finance Named in the pack as consequence-heavy sectors; no relationships or receipts recorded Nothing [open] S5
Deferred Government agencies Laggards; different buyer; state frameworks Relationships exist but slow [proposed] T, S13

Rule: no third sector until receipts exist in two. [agreed] D:2026-11-06, from S6 ("receipts in two more domains, fast")

5. Pricing and revenue model

5.1 Principles

5.2 Revenue lines

Line What is charged Basis Status
Entry engagement (technology strategy and roadmap; or a demand/ARB/PMO build; or a bid) Fixed price for a defined deliverable set and the spine Per engagement; see 5.3 [proposed]
Micro-asset builds Fixed price per asset, each with a before/after measure Per asset; cheaper with each one as the factory compounds [proposed] S3, S4
Factory licence The method, templates, generators and updates, pinned at a version in the client's repo Annual, per client [proposed] S5
Living strategy (the strategy agent and registers kept current) Standing assessment on triggers; delta reports; the process-asset owner supported Small recurring fee, sized for mid-size [proposed] SN:tech_strategy §4, SN:HANDOVER
Process-asset owner training and community Installing and sustaining the role Per seat or bundled into the licence [open] S6
Deployment (local box, rented box, their tenancy) Pass-through or rental Per deployment profile [open] T
Channel engagements Share of the above with the boutique Depends on §10 [open]

5.3 The entry offer — Appendix B.1 resolved as a proposal

The problem: nobody has to buy a strategy (T), yet the strategy is the baseline every later asset reads from, and the pack says sell it as provenance, not discount (S10).

Option What it is For Against
A. Nominal or free entry (T) Strategy at a nominal fee (the room said ~A$10k) or free, as a loss leader Gets the spine in fast; demonstration from inside; earns receipts Anchors the price low; free invites "we'll do it ourselves with Copilot"; six months unpaid needs runway (§8); contradicts the provenance pitch
B. Asset-priced strategy (S10) Priced as a fraction of the Big 4 figure, sold on provenance and the living asset Revenue from day one; consistent with proof-over-trust; no re-pricing later A hard first sell with no upstream receipts; slower
C. Priced, credited, paid partly in receipts The strategy carries a real price. For founding clients, that price is credited against the first micro-asset build or the first year of licence, and the balance of the discount is paid in a receipts clause: we may use anonymised lessons and name them as a reference. Never free, so the value signal holds; the client does not pay twice for the baseline; the first clients pay us in the currency we need most, receipts and references; the credit pulls them into the recurring lines Two numbers to explain; the receipts clause needs legal form (§10); the credit defers cash

Decision: C, for the first three clients, then B. [agreed] D:2026-11-06. A and B stay on the table as alternatives to return to if C proves hard to explain or the credit defers too much cash. The free option is kept only for work that is explicitly our own dogfooding (as the BIA tool was), not for client engagements. Dollar figures for the strategy price, the credit and the licence are set in §12 once §7 and §8 give the cost base. [open]

5.4 Open questions for §12

  1. What fraction of a conventional strategy price the entry engagement carries, and how it varies with client size. [open]
  2. Licence and living-strategy fees for a mid-size operator; whether they are one line or two. [open]
  3. Who carries model and hosting cost: bundled, passed through, or the client's own tenancy. [open] T
  4. How many entry engagements convert to licence, and in what time; the assumption behind any first-year number. [open]
  5. The channel split with Mobility Futures. [open] → §10

6. Go-to-market

6.1 The motion: sold by demonstration, from inside

6.2 The pitch to a CIO (the IT-management version of the story)

  1. Your demand cycle is broken: ideas go into a form and nothing happens for six months, so the business buys around you. [proposed] T
  2. Everything IT checks before saying yes is mechanical: strategy alignment, budget, architectural conformance. Done against a current strategy and a standards register, it takes seconds; the humans look only at exceptions. [proposed] T, S8
  3. That needs a strategy that is current, not a PDF. We draft yours in days from your own documents and one interview, you correct it, and it stays alive, re-assessed when things change. [proposed] S10, SN:tech_strategy. Caveat carried: hypothesis until the first trial.
  4. Every piece of it carries its source and its status, so you can show the board, the auditor and the regulator where each figure came from. [agreed] S4 (receipted for sourcing; the claim is made only for what is receipted)
  5. You own the result; we keep the method. [agreed] S5
  6. When the CIO says "Anthropic or OpenAI will do that for us": ask who can rebuild it without them, what proves it, and who owns the loop; and whether the bill scales with how much their agents run (§2.4, §9.7). [proposed] D:2026-11-11

6.3 The sequence inside a client

Strategy (entry, §5.3) → the demand → ARB → PMO chain → sourcing (receipted) → service delivery model → compliance, risk and reporting (§3.4). Entry can be anywhere the pain is; the spine grows outward. [proposed] S8, SN:knowledge_work_archetypes §4

6.4 The channel motion

With a boutique (Mobility Futures first): the boutique opens the door and holds the domain; we run the method and the factory; the client sees one team. Who fronts the engagement, who owns the client and how it is paid are §10 questions, to be settled before the first engagement runs this way. [proposed] / [open] D:2026-11-06

6.5 What we need in hand to sell

Asset Why Status
Pitch deck, IT-management version Runs in parallel with the build (T) To do [agreed] T
A sample day-three draft on a real or anonymised organisation The thing a CIO reacts to; also our first upstream receipt In preparation (pre-interview draft, kept internal) S11
The written Copilot and deployment answer The second question every client asks §9, to write [proposed] T
The written answer to "the labs will do it for us" Now the third question every client asks §2.4, §9.7; to write [proposed] D:2026-11-11
One named reference in each of the first two sectors Receipts are the only defensible claim (S6) None yet; the receipts clause in §5.3 is how we get them
The measurement: before/after on the first asset "Measured, not promised" Method exists; no strategy-stage measure yet

6.6 Who sells, and when

Who carries sales among three founders, and how much time it gets alongside current commitments through Christmas, is §7. The near-term calendar: meet Chen on direction; pitch deck alongside the build; first strategy prospect via Mobility Futures as the first trial. [agreed] as actions, T

7. Delivery and operating model; founders' roles — placeholder

To be worked out together by the three founders, not drafted here. [agreed] D:2026-11-06

What the section will need to settle, carried from the sources: three founders [agreed]; names, backgrounds, time available before and after Christmas, and the relationships each holds; who embeds first (S13) and who carries sales (§6.6); capacity as the ceiling (S6); how a channel engagement is staffed (§6.4); the builder/QA role split and the review gate as the way work is run (S11). All [open].

8. Firm vs company; funding and runway — framed, not decided

The question from S13: an advisory firm that scales with people, or a method company that scales with IP. Funding, runway and hiring follow from it. [open] S13, WN

Firm Company Hybrid (firm now, company when the factory is productised)
What is sold Engagements; the licence is a side line The factory; engagements are the sales motion Engagements fund the build; the licence becomes the business
Funded by Client revenue from the start; founders' time A raise, on the assets and references (T: six months of unpaid work, fundraising off the assets) Client revenue first; raise once receipts exist in two sectors (§4 rule)
Fits the pack Honest about capacity (S6: three founders is a ceiling) Fits "the farm is the asset" and "productise the method into tooling" (S6) Fits the receipts-first posture: raise on proof, not on a pitch
Risk Stays a boutique; the labs and the Big 4 compress with AI too Raising before receipts means pitching what the critique says not to; a raise brings a clock Slow; two business models to explain

What is already said that bears on it:

Decision is the founders'. The plan needs from it: the legal form, who is paid what and when, the runway in months and dollars, and whether a raise is planned at all. [open] → §12

8.1 Exit as an option — sell to a lab's deployment arm or a Big 4 (raised 11 Nov)

A possible target, not a plan: build something one of three buyer classes would acquire. [proposed] D:2026-11-11

Buyer class What they have bought in 2026 What they would be buying from us Fit
The labs' deployment arms (Ode with Anthropic; OpenAI Deployment Company) Engineering benches with a pipeline: Fractional AI (100), Casper Studios; Tomoro (150). Model-first A capability they cannot hire: a receipted method for provable work in regulated sectors, a SOCI/CIRMP-mapped gate, reference clients in critical infrastructure in a market they have just entered Capability acquisition, smaller than a bench buy; depends on being Claude- or OpenAI-legible at the time
The Big 4 Practices with revenue, partners and clients; building agents in-house rather than buying method A regulated-sector client base plus an assurance story to sell through audit relationships: we generate the per-asset evidence the regulator asks for (S6's ISO 42001 / CIRMP mapping) Practice acquisition; needs revenue and a client list, not only IP
Security vendors Gateway products (Portkey→Palo Alto, Prompt Security→SentinelOne, Lakera→Check Point, Aim→Cato) The gate component, if it is an installable product with customers Product acquisition; only if §9.6's "build the gate" is taken seriously as a product

What the option changes:

  1. §8 tilts to company: an exit needs a company that owns its IP, not a partnership that pays salaries. [proposed]
  2. Build what is acquirable: the gate and the SOCI dictionary as a product; the method embodied in the harness, not a document; receipts and named references in two regulated sectors. This is S6's defensibility list; the work is the same either way. [proposed]
  3. Vendor neutrality becomes a dated decision: neutral in deliverables always; the stack we build on makes us legible to one buyer class or another. Decide knowingly, later, with the exit in view. [open]
  4. Clean IP matters more: the Mobility Futures terms (§10.3) and the receipts clause (§10.2) must leave the core unencumbered. [proposed]
  5. Caveat: build to last and be acquirable as a consequence. See also §9.7: the conflict-of-interest positioning cuts against a lab exit; one of the two must lead. Neither lab's arm has Australian operations yet; a plan aimed at a named buyer inside a window that is shorter than the pack assumed is fragile. [proposed]

9. Competition and the written Copilot answer

9.1 The competitor map (from the critique of 16 Oct; positions as at then)

Who What they sell Where we overlap Our difference Status
The labs' deployment arms (OpenAI Deployment Company, Anthropic Ode) and Palantir-style FDE Embedded engineers who build on the client's systems and leave assets The embedded model, word for word They take the large regulated accounts; we aim below them at mid-size operators they will not staff. Method as the product, not the build [proposed] S6
Fractional FDE boutiques Embed for a fixed period, build, leave reusable assets Our pitch, nearly verbatim Per-asset proof (registers, assertions, QA role, receipts); the role we install; regulatory fluency [proposed] S6
Agent platforms (Microsoft, Salesforce, UiPath, Celonis) "An agent for every process" The micro-asset story is one careless paragraph from theirs We lead with proof and the spine, not agents; we run inside their tenancy, not against it [proposed] S6
The Big 4 Technology strategy, sourcing, assurance by the day Same buyer, same engagements Draft-first in days, asset-priced, a living handover; they will compress with AI too, so the defensible difference is provenance and the spine, not speed [proposed] S10, SN:tech_strategy §5
EA repositories and portfolio tools (LeanIX, Ardoq, ServiceNow SPM, Jira/ADO) The golden thread from strategy to portfolio to architecture The spine looks like their data model They hold data humans must maintain and do not; ours is generated from the work and verified against it. Our segment does not run them [proposed] S8, SN:knowledge_work_archetypes §5
AI assurance and certification (Big 4 assurance lines, ISO 42001, AIUC-1-style tests) Governance certification; agent-behaviour certification Both prove something about AI Neither produces evidence per piece of work; we generate the evidence they certify. Position beside, not against [proposed] S6
AI gateways and routers (WitnessAI, Harmonic, Prompt Security, LiteLLM-class routers) Allow/block, redaction, cost metering, model routing WSV plumbing Their tier call is a classifier; ours is deterministic and provable. No on-prem reasoner, no SOCI/CIRMP mapping. Buy them, then close the gap [proposed] WSV12, SN:wsv_execution_profiles market scan (Sept 2026, US-weighted; verify before any client novelty claim)

9.2 The Copilot answer (verified against public sources, 6 Nov 2026; US list prices; re-verify before each client conversation)

What the room said on 5 Nov was right in shape and wrong in three details. Corrected:

Layer What it is What it can do for the client What it cannot do Cost
Copilot Chat (the "Basic" of the transcript) Chat over web knowledge, included with Microsoft 365 Drafting, summarising, Q&A Nothing over organisational data of consequence; no agents of substance Included
Microsoft 365 Copilot (renamed Microsoft Copilot in 2026) with Agent Builder The per-user Copilot in Office apps, plus a no-code builder for declarative agents grounded on SharePoint and Graph The "dummies' guide" agent the room described: a shared agent with suggested prompts that interrogates a set of files. Retrieve, not act No backend compute, no scheduling, no triggers, no writes to systems, no ALM. It queries documents; it cannot hold registers as a spine or run a standing assessment ~US$30/user/month
Copilot Studio Low-code agent platform: 1,000+ connectors, Dataverse, flows, triggers, MCP; Agent 365 (GA May 2026) as the governance plane Agents that act and run on schedule; a CIO's demand form could be built here Still a bot-and-flow platform: no provenance by construction, no deterministic join checks, no QA role; the method is not in the tool Correction to the transcript: internal agents on the standard harness for licensed users are included with the Microsoft 365 Copilot licence at no extra credit charge. Consumption billing (Copilot Credits, US$0.01 pay-as-you-go or US$200 for 25,000 prepaid, ~A$300 locally) applies to unlicensed users, premium features and autonomous, scheduled or triggered runs. So the CIO who refused Studio was refusing the metered part, and a strategy agent that re-assesses on triggers is exactly the metered part
Azure AI Foundry Full-code platform on an Azure subscription Anything, including our harness It is infrastructure; the method is ours to bring Azure consumption

Three things Copilot does not do, which are the offer: hold a spine of keyed registers with status and source that documents are generated from and verified against; make the joins deterministic checks with a decision register a regulator can read; carry a method with a QA role and a learning loop. Copilot is where the client's people will read and ask; the spine lives in their tenancy or repo; the factory is ours. [proposed] T, D:2026-11-06

Sovereignty, corrected. The transcript assumed third-party models in Copilot run offshore only if chosen. Verified: since January 2026 Anthropic's Claude models are enabled by default in commercial Microsoft 365 Copilot tenants outside the EU and UK; when used, prompts and grounding data leave Microsoft's processing boundary to Anthropic as a sub-processor, on infrastructure primarily in the United States, outside Microsoft's data-residency commitments and audit controls. Admins can disable it in the Microsoft 365 admin centre. Microsoft's own OpenAI models process within the Microsoft boundary; in-country processing of Copilot interactions for Australia was announced for end-2025, and Microsoft's April 2026 update puts local inferencing across Copilot, Copilot Studio and Power Platform in Australia by end-2026. Status of the Australian rollout to be confirmed before it is stated to a client. Residency is not jurisdiction (WSV4, WSV13) either way. [proposed] D:2026-11-06

The answer to a CIO, in three lines. Keep Copilot; it is where your people will read the strategy and ask it questions. What you are buying from us is the thing behind it: a spine of registers your documents are generated from, with every figure's source and status, and a method that proves the work. And a setting to check: whether Claude is on by default in your tenant, because if it is, Copilot prompts are already leaving Microsoft's boundary. [proposed]

9.3 Deployment: where the factory runs at a client

Options raised: the client's own cloud tenancy (Azure/Foundry or an onshore region); a local box at the client (an Apple-silicon or GPU machine, the WSV prototype shape); a box rented from us; our laptop for the trial. Gateway software routes but does not tier; the deterministic gate is ours to add in front (WSV12 "buy, then close the gap"). The choice is a deployment profile per client and a cost line in §5; the plan assumes metered or local cost, never consumer subscriptions. [open] T, WSV12

9.4 "Won't Microsoft and the labs do this for everyone?"

The written answer the pack asked for. They will ship agent governance (Agent 365 exists), audit logs and probably per-agent audit trails; the labs will keep driving build cost to zero. They will not ship: a deterministic tier gate mapped to SOCI and CIRMP definitions, because it depends on the client's labelling discipline and asset register; a spine of registers that the work itself keeps true; a method with a QA role and receipted rules; or the process-asset owner. Those are specific to the organisation, its regulator and its consequences, which is why the labs are structurally uninterested in them (WN). The honest risk stays: the gap narrows from above, and the window is two to three years (S6). [proposed] S6, WN

Sources checked 6 Nov 2026: Microsoft Learn (Copilot Studio billing rates; Anthropic models in Copilot apps; connect to AI models), Microsoft 365 blog (in-country processing, 4 Nov 2025, updated 3 Apr 2026), Directions on Microsoft (Jan and Jun 2026), third-party licensing guides dated Jun–Oct 2026.

9.5 The market as at November 2026 — what has changed since the October critique

The critique of 16 Oct (S6) was right in direction and understated in degree. Verified 11 Nov 2026:

The labs now sell implementation, not models. OpenAI launched the OpenAI Deployment Company on 11 May 2026 with more than US$4B, acquiring Tomoro (150 forward-deployed engineers); its backers include McKinsey, Bain and Capgemini, and it sits on top of the February 2026 "Frontier Alliances" with McKinsey, BCG, Accenture and Capgemini. Anthropic, Blackstone and Hellman & Friedman launched Ode with Anthropic on 15 July 2026 at US$1.5B, built on Fractional AI (100 engineers), Claude-first, and explicitly aimed at mid-size organisations across financial services, healthcare, retail, manufacturing and software, with private-equity portfolios as the pipeline. Ode has since acquired Casper Studios; international expansion is signalled but not detailed. [proposed]

Correction to the pack. S6 says "aim below the labs at mid-sized regulated operators they won't staff." Ode targets mid-size by design. What still holds: their pipeline is PE portfolios, their geography is the US, their posture is Claude-first, and their unit is an engineer, not a method. Our ground is narrower than "mid-size": mid-size regulated operators and bidders in Australia, where proof to a regulator is the purchase, reached through relationships and boutiques rather than a PE sponsor. Appendix B.6. [proposed]

Both labs are in Australia. OpenAI launched locally in December 2025. Anthropic has registered an Australian subsidiary, opened a Sydney office under a general manager for Australia and New Zealand, signed an MoU with the federal government, and is approved to supply non-corporate federal agencies for official information. Neither deployment arm has announced Australian operations yet; expect them within the window. [proposed]

The Big 4 and MBB have repriced around AI and are moving down-market. Accenture reported about US$2.7B of generative and agentic AI revenue in FY2025 and about 110,000 AI and data professionals at the end of FY2026. BCG attributes about a quarter of 2025 revenue to AI. McKinsey says it runs about 25,000 agents alongside about 40,000 people and has cut headcount. Deloitte abolished the analyst-to-manager title ladder from June 2026. PwC Australia launched agentic-powered managed services for private and mid-market clients on 7 Aug 2026, starting with finance and expanding into cyber, procurement and digital trust. The pyramid that priced the twelve-week strategy is being dismantled by the firms that own it; the four-week draft-first engagement is no longer a novelty on its own (S10's caveat, now a fact). [proposed]

Australian AI boutiques are many, consolidating, and sell on the same words. Local lists name Mantel Group, Team400, Datacom, RUBIX, Sandlabs and a dozen others, mostly "agents in production for the mid-market," priced by the hour (indicatively A$200–350 for specialists, A$250–500+ at the Big 4). None found positions on per-asset proof, a deterministic boundary or a method as the product. [proposed] (list sources are vendor-written; treat as a map, not an assessment)

The gateway category has consolidated into security vendors. Portkey was acquired by Palo Alto Networks in May 2026 and is now the Prisma AIRS AI Gateway; Prompt Security went to SentinelOne, Aim Security to Cato, Lakera to Check Point. Kong added an Agent Gateway (April 2026) for LLM, MCP and agent-to-agent traffic. LiteLLM remains the most-adopted open-source self-hosted gateway and had two CVEs in 2026. Skyflow's LLM Privacy Vault is the reference product for reversible tokenisation with policy-governed re-identification, delivered as SaaS with a Kong plugin and PII/PHI/PCI entity classes. These products sell to CISOs, classify with models, and know nothing of SOCI entity classes. [proposed]

Australian sovereign hosting now exists as a product category. Macquarie Cloud Services' Launch AI (API access to models in an Australian sovereign private cloud, managed, predictable pricing); SCX.ai (NSW and SA nodes, regulated-workload positioning); ResetData's AI-F1 (Melbourne, H200); Sovereign Australia AI (NextDC, B200s, building Australian models); Blue Crystal Solutions (private LLM deployment on-prem or private cloud, from about A$500 a month); and Sovereign AI Infrastructure Inc. (Melbourne, air-gap-capable nodes and "edge appliances for critical-infrastructure sites", launched June 2026). The Vault tier's hardware question has answers we do not have to build. [proposed]

What this does to the window. Narrower and shorter than the pack says: the labs are in the country, the Big 4 are in the mid-market with agentic managed services, and the gateway plumbing is owned by security vendors with sales forces. What is still not sold by anyone found: a deterministic, regulator-readable tier decision mapped to SOCI and CIRMP; per-asset evidence for knowledge work; a method that installs a client-side owner and learning loop. Two to three years is now the optimistic end. [proposed]

9.6 WSV: partner, resell or build?

Answer: assemble, don't build; own the gate rules and the proof; partner for hosting; resell nothing. WSV decomposes into five parts, and the answer differs by part. [proposed] D:2026-11-11

Part of WSV What it does Market state Decision Why
Routing, metering, logging, model abstraction The proxy every call passes through; cost caps; audit log Commodity: LiteLLM (OSS, self-hosted), Kong AI Gateway (open core), Portkey/Prisma AIRS, Cloudflare, Azure APIM Use, don't build; don't resell. Default to a self-hostable open-source gateway inside the client's tenancy; use whatever gateway the client already runs if they have one Zero differentiation; the client's security team will have a view; reselling a security vendor's gateway puts us in a margin business three founders cannot carry and ties us to one vendor against the pack's neutrality
Reversible tokenisation (the Safe tier) Strip specifics, send the abstracted copy, restore locally Skyflow leads; Presidio-class open source; Kong's PII sanitiser; all PII-centric Partner or open source for the engine; build the entity dictionaries. Skyflow where a client accepts SaaS and needs PCI/PHI; an open-source engine on-prem where the token map must not leave. The SOCI/OT entity classes (asset identifiers, network and configuration vocabulary, protected-information patterns) are ours and sit on top of either No product knows what a SOCI operator's sensitive specifics look like; that dictionary is the IP, and it is small
The deterministic gate Label-at-source tier decision; SOCI/CIRMP definitions reduced to rules; the decision log a regulator reads Nobody sells it: every product makes the tier call with a classifier Build. A rules engine over labels, provenance and patterns, placed in front of whatever gateway runs; plus the mapping from the Act's definitions to rules, per client This is the proof, and the only part a buyer cannot get elsewhere. It is also the smallest part: rules, labels and a log, not a platform
The local model and the Vault On-prem reasoning; tokenise/restore; the catch-net Open-weight models; sovereign hosts (Macquarie Launch AI, SCX, ResetData, Blue Crystal); on-prem boxes; SAII appliances Partner for infrastructure; specify the model line-up. A deployment profile per client: their tenancy, a sovereign host's API, or a box on site. We never own hardware Hosting is a capital business with its own vendors; our value is the profile and the proof that nothing left, not the GPUs
Registers, decision classes, monitor, QA role How work runs inside the boundary and how it is proven Nobody sells it; it is the factory Build; already ours. Already built in the method; the harness embodies it

Consequences:

9.7 The conflict-of-interest argument — insulating clients from the meter (raised 11 Nov)

The labs' deployment arms are paid in engineer-hours and measured, upstream, in model consumption. Ode holds Anthropic equity and is Claude-first by charter; the Deployment Company is majority-owned by OpenAI. Their best outcome is a client whose systems need their engineers and their model. We are the party without that conflict: the asset's spec is the source of truth, the routine bulk runs on a local or sovereign model at fixed cost, the frontier is rented for the residual, and the model is a line-up choice per tier that the client can change. This is WSV13's "own the bulk, rent the residual" turned from a value line into a competitive one. [proposed] D:2026-11-11

Stated carefully, so it survives a sceptical CIO:

Tension to hold. This positioning sits badly beside the exit-to-a-lab option (§8.1) and the Anthropic partner-programme idea (§9.6). A lab might still buy a governed-consumption story for regulated sectors it cannot otherwise reach, but we cannot lead with both. The Big 4 and security-vendor exits are unaffected: the gate, the dictionary and the own-the-bulk profile are what a Big 4 assurance practice would want. Decide which story leads before the first partner conversation with a lab. [open]

Sources checked 11 Nov 2026: OpenAI announcement and coverage of the Deployment Company (May–July 2026); Ode launch coverage (Forbes, Dealroom, PYMNTS, July–Oct 2026); Accenture FY2026 results coverage; PwC Australia media release 7 Aug 2026; IT Brief and Modelwire on Anthropic Australia (Jan–Oct 2026); AI gateway comparisons (Tetrate, Lyzr, WSO2, MarkTechPost, Sept–Oct 2026); Skyflow documentation; CRN Australia and vendor pages for sovereign hosts. Third-party lists and vendor pages are maps, not assessments.

10. IP and legal — the questions, and the principles we start from

Not legal advice; the answers come from the lawyer (the contact via Mike, T). What follows is what the plan already commits to and what it needs decided.

10.1 What we own, what the client owns, what returns

Thing Owner Principle Status
The generic core: rulebook, playbook, QA instructions, harness, registers schema, industry templates, generators, the strategy agent Us, licensed to the client pinned at a version "We keep the method" in every agreement [agreed] WN, S5
The client profile and the client's spine: their registers, decisions, corpus, the assets instantiated for them The client, outright The harvest is theirs; they can rebuild without us [agreed] WN, S5
Lessons from an engagement Return to the core only as anonymised, generic candidates, through the rulebook's admission test; project-specific material never leaves the client profile The IP boundary is the method's own learning loop [agreed] WN, Sunrise CLAUDE.md
Receipts and references A right we are granted, not something we own: to cite anonymised lessons and, for founding clients, to name them The receipts clause in §5.3 [proposed] D:2026-11-06

10.2 The receipts clause (new, from §5.3)

What it must say: that we may record lessons from the engagement in anonymised form and use them to improve the method; that the client's name may be used as a reference, with approval of wording; that nothing client-identifying, commercially sensitive or Safe/Vault-tier enters the core; that the credit against later work is the consideration. What it must not do: give us rights over their data, their spine or their documents. [proposed]

10.3 Partnering with Mobility Futures

Open and tricky (D:2026-11-06). The questions, in the order they need answering:

  1. What each side contributes. Mobility Futures: transport relationships, domain knowledge, the first prospect, possibly delivery people. Us: the method, the factory, the architecture, the build.
  2. Who owns what results. The generic core stays ours regardless of whose engagement produced the lesson; the client's spine is the client's. The gap: transport-specific templates (a bus-operator capability model, a transport regulatory overlay) built on their engagements. Proposed: a domain profile co-owned or licensed back to them for their use, with the generic core untouched. [proposed]
  3. Whether they may use the method without us. If yes, under what licence and fee; if no, how that is enforced when the method is a document and a repo. Honest view from the pack: not protectable by IP; defensibility is speed, receipts and the harness (S6). The protection is a licence plus the fact that the harness and the learning loop are hard to run without us.
  4. Who fronts the client and holds the contract, and therefore who carries liability and payment.
  5. Revenue share for engagements they bring, for licences that recur after they have stepped back, and for the strategy agent.
  6. Whether Mobility Futures' material is a tier question: anything they hand us about the prospect is Safe by default.

The terms set here become the template for any second boutique (§3.2). To be settled before the first engagement runs under it. [open]

10.4 Other legal matters carried

11. Market size — later (needed for a raise, not for the first clients)

12. Financial model — later (a runway sheet first; the full model once §8 is decided)

13. Risks and milestones — running

Risks carried from S6: "micro-assets" one paragraph from "an agent for every workflow"; capacity-bound delivery; breadth unproven; latent demand and a buyer role that does not exist; the labs may ship audit trails. Added 5 Nov: cost assumptions must be metered or local, never subscription-subsidised (WSV8); trade-secret leakage if we enable other consultancies. Added 6 Nov: a triggered strategy agent built inside Copilot Studio is metered, so the recurring licence must carry its own run cost or run outside Studio; Claude is on by default in Australian Copilot tenants, which is a finding for the client and a tier question for us. Added 11 Nov: Ode targets mid-size and both labs are in Australia; PwC Australia sells agentic managed services to the mid-market; the gateway category is owned by security vendors who could add a deterministic tier on request. The window is shorter than the pack says. Milestones: the first strategy prospect's day-three draft; Chen meeting; pitch deck; first upstream receipt. Added 11 Nov: the first CIRMP evidence pack generated from a live gate (the receipt that answers the security vendors, §9.6); our own gate rules and SOCI dictionary built under our own gate on a local model, as the first receipt for the Vault tier and the proof we practise what we sell. [proposed]


Appendix A — Threads from the 5 Nov 2026 planning session

# Thread What was said Status
1 Purpose/mission/vision Still the vision; "reinventing consulting — quicker, cheaper, lasting" is one instance of it [agreed]
2 Pitch language "Friction" too abstract for a first client; tailor to IT: demand, ARB, PMO, roadmap, investment [agreed]
3 Strategy as entry point Nobody has to buy a strategy; do it free or ~$10k, or as a credit, because it is the baseline demand/ARB decisions read from [proposed] → §5
4 Demand → ARB → PMO as the lead The broken demand cycle is the current problem at every recent client [proposed] → §2.1
5 Breadth beyond IT Compliance, risk, regulatory reporting, BIA, asset/ops management; back office not front office [proposed] → §3
6 Compounding The seven assets are generic and replicable; each build gets faster [agreed]
7 Sectors Renewable energy; private transport operators/bidders, not big agencies; government slow [proposed] → §4
8 Adjacent segments Professional-services firms, PE-backed consultancies, bid production, agriculture, property [open] → §3
9 Not an AI company Attack a business problem; AI fluency is crowded; cash only, never the story [agreed]
10 The Copilot answer Material given verbally; to be verified and written [proposed] → §9
11 Deployment and cost Local, a box at the client, a rented box, or their cloud; gateways route but don't tier; API vs subscription [open] → §2 layer 4, §9
12 Six months unpaid; fundraise off the assets Reference customers and assets first [proposed] → §8
13 Next actions First draft of the plan; meet Chen; pitch deck in parallel; handover note; fix co-founder GitHub access [agreed]
14 Founder count Two, four, or two plus Chen and the quantum colleague [open] → §7

Appendix B — Contradictions to resolve

  1. Entry-offer pricing. T: strategy free, ~$10k or a credit. S10 and SN:tech_strategy §5: asset-priced, sold as provenance, not discount. Resolved 6 Nov (§5.3): priced, credited against the first build or licence, balance paid in receipts (option C); A and B kept as alternatives.
  2. Government in the beachhead. S5/S13 name government; T says agencies are laggards. Proposed resolution: regulated operators and bidders, not agencies (§3).
  3. Founder count. Pack: four. Resolved 6 Nov: three (§7). Pack and one-pager to be corrected when next regenerated.
  4. ARB/PMO: branch or front door. S8/S11 treat EA/ARB and PMO as branches off strategy; T makes the demand chain the lead. Proposed resolution: the demand chain is the pitch, the strategy is the baseline it reads from; both stand (§2.1).
  5. Cost assumptions. T mentions businesses stacking consumer subscriptions; WSV8 says never build on subsidised pricing. The plan assumes metered or local cost.
  6. "Aim below the labs" (S6). Ode with Anthropic targets mid-size organisations by design. Resolved 11 Nov (§9.5): our ground is mid-size regulated operators and bidders in Australia, reached through relationships and boutiques, where proof to a regulator is the purchase. Pack slide 6 to be corrected.

Appendix C — Receipts ledger (what is actually proven)

Asset / capability Evidence Source
Complex document build (contract suite, workbooks) receipted — 213 observations → 86 rulings, one engagement S4, SN:HANDOVER
Evaluation and adjudication (evaluation app) receipted S3, S7
Elicitation (ARIA/GIS interviewer, BIA workshop tool) part S7, S11
Standing assessment (contract management) part; strategy agent hypothesis S7
Method bundle (rulebook v1.5, playbook v0.2, QA v0.1) receipted SN:HANDOVER
Harness (builder/QA agents, repo template, leak check) built; first client build pending S11, SN:HANDOVER
Registers schema, industry capability template built 0.1 S11
All strategy-stage assets (R1–R3, E1–E3, D1, O1–O4, S1) hypothesis — the first strategy trial is the first test S12, SN:tech_strategy
WSV gateway, local model, tiering reference architecture + laptop prototype; no running gateway WSV, Project_Context_Note
Demand/ARB/PMO micro-assets hypothesis — domain receipts (partner years) only WN 20 Oct