Engineering Drawing · Consulting Works Dept.
A blueprint for the technology consultancy in 2026 — drawn from the essay of the same name. Click things: the drawing is annotated.
Read before construction. The existing structure has two load-bearing assumptions, and both are cracking.
37 components across 8 practice areas. Filter by practice; click a component for its specification. Grounded in a Microsoft-focused practice, transferable to any comparable platform.
This is not a complete list. These are the essentials — the must-haves that lead to more specialised agents and, eventually, to the full agent ecosystem the consultancy runs on.
Cross-section, foundation upward. An agent catalogue without the infrastructure underneath it is a wish list. Click a layer to open it; the governance rail spans the full section.
Setup sequence: the layers are inter-dependent — build them in order. But agents that don't depend on the corpus (quality reviewers, standards checkers, test-case generators) can deploy while the ingestion pipeline is still being built. The corpus-dependent agents won't perform until the lakehouse is indexed and searchable.
The commercial structure, load-tested. A consultancy running every project on T&M was once ideally placed. That same profile is now the biggest structural risk in the business.
Take a build estimated at 10 days under the old model. Drag the slider to compress delivery with AI, and watch what happens to the same engagement priced two different ways.
Fixed-price was long dismissed as too risky when delivery effort was the primary unknown. AI-augmented delivery changes that calculus, because the consultancy now controls a far larger share of the delivery variables. The portfolio has three lanes:
For defined, repeatable implementations. A differentiated offer rather than a risk transfer — priced from a leverage ratio you have measured on your own delivery, not one a vendor quoted.
For engagements where value is measurable at go-live or adoption milestones. Fixed component tied to go-live criteria, value share tied to adoption at ninety days, managed service for ongoing operation.
For advisory and genuinely exploratory work where scope cannot support a fixed commitment. The failure case is not T&M itself — it is the book that is one hundred per cent T&M.
The winning unit is T-shaped and built by dogfooding. A two-person team, augmented by agents and operating across the full stack, will out-deliver a five-person team of vertical specialists whose work does not connect. The narrow specialist loses to the AI-augmented generalist; the shallow generalist loses to the AI itself. And the capability grows only internally: a consultancy that has not run AI across its own proposals, designs, and delivery cannot credibly sell AI-augmented delivery, because it does not yet know what it is selling.
If volume work and artefacts are commoditised, the premium comes from three places agents cannot reach.
A decade of Dynamics 365 in manufacturing means knowing production planning constraints, shop-floor integration patterns, and which configuration decisions cause problems at go-live. None of it sits in public documentation, so no general-purpose model can reproduce it. It lives in implementation artefacts, lessons-learned records, and the judgment calls made across dozens of engagements — measurable delivery compression, chargeable at a premium.
Agents optimise within a defined solution space; the premium work is defining the space — when requirements contradict each other, constraints are unstated, and the right architecture depends on organisational factors in no brief. The agent surfaces the options. The architect makes the call. Reading the politics between a CFO and a technology sponsor takes years to develop and cannot be derived from a document corpus.
The agent produces the output. The consultant signs it. When the architecture recommendation is wrong, the architect is accountable. A consultancy that ships AI-generated output without clear human accountability is not reducing risk — it is transferring it to the client without their knowledge. Clients who understand AI-augmented delivery will pay for the human judgment layer explicitly.
Apply AI to the consultancy before selling it to the client. That is the whole argument, in three moves: build the agent infrastructure and the IP corpus that make fixed-price and outcome-based engagements credible; reprice the go-to-market from a negotiation over days to a conversation about outcomes; and let each practice build AI capability inside its own delivery, with a single AI lead to cross-pollinate — a lead airdropped to sprinkle optimisation across the firm fails consistently.
The reason to move now is the corpus, because it compounds. A consultancy that begins indexing its proposals, designs, and delivery artefacts today holds an advantage within twelve months that a late mover cannot buy back. T&M-only was the safe choice for two decades. It is now the exposure. There is no shortcut, and the window closes.
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