Moat.
Speed.
Allocation.
The platform moat that survives 2028 is being chosen this year.
This briefing tells you which platform moats survive 2028 in IT consulting as AI rewrites build economics. Read it before your R&D allocation locks for the decade.
The 10-page briefing. Worth 20 minutes.
One email. One PDF. Worth twenty minutes of your week.
We send it once. Work emails only.
Monday 9:15, quarterly delivery review. Copilot adoption at seventy-two percent. Utilisation flat. Your VP Engineering opens with the dashboard. He is mid-sentence when your phone buzzes. It is your Head of Financial Services practice: "Client procurement ran an internal benchmark. Their AI-augmented team delivered our scope in five hundred and eighty hours. We quoted a thousand. They want a call Thursday." Your VP Engineering mentioned two senior architects took coffees with an AI-native delivery boutique over the weekend. Equity offer.
You are not running one internal-tooling budget. You are running two, and only one is on your scorecard. One funds current delivery cheaper. The other funds the delivery IP that still matters in 2028: the evaluation harness you have not built, the agent-memory store tuned to your top verticals, the junior academy redesigned around senior-and-agent pairing.
The internal platform your consultants use every day is your delivery IP moat.
This is the question your CEO is already asking. The briefing below is what you want in your hand before the next delivery review.
R&D Capital. Build Velocity. Delivery IP.
Three questions every IT consulting CTO is tracking. The first is the crux. The other two are how you earn the right to answer it.
Is our internal-tooling budget one instrument or two?
Plateau capital compresses current delivery: more Copilot seats, more Cursor licences. Compounding capital builds the 2028 delivery IP: evaluation harness, agent-memory store, academy rebuilt around senior-and-agent pairing. On one hurdle rate the first wins every quarter. On one scorecard the second does not exist.
Is our delivery speed shipping production-grade client work, or agent output barely reviewed?
Copilot at seventy-two percent adoption. Utilisation flat. Agent-generated work through shallow review, foundation rotting. Spotify spent four years on platform foundation before agents shipped production. You cannot replicate four years in eighteen months.
What does our delivery ship that an AI-native boutique with fifteen people cannot copy?
Your blended rate is under attack from fifteen-person teams with Claude Code. Your integration depth across top client systems and the architectural reasoning in your top fifty seniors is the moat. Two of those seniors had recruiter calls last month.
What you get when you download
An 11-page report for CTOs, CPOs, and Heads of Delivery Technology at mid-market European IT consulting firms. Designed to be read in one sitting before your next delivery review.
Your industry, your delivery function, and why they are one problem
What is happening to mid-market IT consulting: AI-native delivery boutiques winning reference clients at forty percent of your blended rate, the offshore-to-nearshore-to-AI shift compressed into thirty months, and the Netcompany destination your CFO already named. What is happening inside your delivery function: Copilot adoption up, utilisation flat, the junior academy running on a 2022 curriculum, and the board AI-strategy ownership list your seat is not on.
Four moves across delivery engine, platform and data, delivery-IP thesis, and bench
Instrument review depth per client deliverable, not just cycle time, and make architecture decision records and evaluation harnesses first-class infrastructure. Build the delivery-IP moat underneath the tool layer through a proprietary evaluation harness, a portable agent-memory store, and an integration depth graph. Sign the joint Delivery-IP and Pricing-Architecture Document with your CFO before Q3. Rebuild the junior academy around senior-and-agent pairing.
Five questions for your next delivery review
Is your internal-tooling budget one instrument or two, and what is the kill criterion on each? Name the AI-native delivery boutique in your category. How many months to reconstruct architectural reasoning if your VP Engineering leaves for an AI-native boutique tomorrow? Where did the freed hours from seventy-plus percent Copilot adoption go? Is your Q1 boundary agreement with the CEO and CFO written?
Calibrated for each seat at the table.