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Every IT department has adopted AI, very few capture its value. We transform your IT operating model (its economics, its organisation, its contracts) so that AI gains fund your projects instead of weighing down your Run.
Sources: Niji Barometer 2026 (100+ organisations), BCG 2026.
Without a change of model, every AI gain is absorbed before it reaches the P&L. The problem is not technological: it is economic and organisational.
Time saved is neither measured nor reallocated. It is used to produce more, and every extra application weighs down the Run.
On time-and-materials, they produce faster and bill the same. They commit to 6 to 15% gains, while clients expect 30 to 40%.
Coding speeds up, while review, testing and architecture saturate. Without an end-to-end redesign, debt piles up.
Roles, pyramid, contracts and governance are still designed for scarce capacity. One IT department in four has a complete AI framework, 23% anticipate the impact on jobs.
Orders of magnitude based on more than ten Niji engagements carried out in 2026, to be instantiated on your data. The gap, €5 to 7M a year, is the cost of waiting one year.
The value lies in the allocation rule, which only executive management can set:
Each stage funds and secures the next. Quick wins in 2027 fund what follows: the transformation moves step by step, with no big bang and no sunk-cost bet.
A baseline before any commitment, gains recognised by Finance, an allocation key.
AI Value for IT corePrioritised by value rather than by debt. SaaS doctrine: keep, renegotiate, replace.
Delivered by AI Factory →A fast lane, graduated agent autonomy, AI suppliers on the register.
With Data & Trust →A single foundation: catalogue, orchestration, memory, AI FinOps, observability.
Delivered by AI Agentic →A redesigned Build, an agent-supervised Run, business teams as co-producers. A pilot from the start.
AI Factory · AI Agentic →Target jobs and reskilling. Suppliers who finally share AI gains, moving from time-and-materials to outcomes.
AI Value for IT coreWe already have an AI plan.
Good. We review it in 4 weeks and measure what it actually captures: most plans tool up individual steps, few redesign the economics of IT.
We have no budget.
The framing is fixed-price. After that, quick wins (supplier renewals, agentic Run) fund the rest from 2028.
Our teams already use AI.
Who measures the gains, and where did they go? Adopting is not enough to transform: only 19% deploy AI across the whole chain.
This is an IT topic.
Measurement, the allocation key and the transformation mandate belong to the CEO. That is why IT alone cannot get there.
We start from what you already have: copilots, modernisation programmes, AI charter, contracts. Nothing is redone, everything is connected and measured.
Ongoing initiatives across the seven workstreams. Baseline measurement. Positioning against the 100+ organisations of the Niji Barometer.
Target per workstream, gain scenarios, CEO, Finance and CIO trade-offs on the allocation key.
Costed 3-year plan, business case, governance. Two flagship pilots ready: one Build, one Run.
The AI Strategy & Change framing prioritises your use cases and costs their ROI. Its CIO version goes further and adds three topics only an IT department can carry with its executive management: measuring and redistributing gains, external sourcing and workforce planning, the value office.
Already have an AI plan for your IT department? A 4-week review of your existing plan : we test it against the panel and measure what it actually captures.
Transformation of our clients' development and testing factories, using the method described here.
From vibe coding to industrialisation: from 3 pilot squads to 35 AI squads, with a proprietary Niji runbook.
Modernisation of critical applications by AI agents: 200 days instead of 1,000.
| Niji AI Value for IT | Large consultancies | IT services firms | |
|---|---|---|---|
| Starting point | Value on the P&L, measured before acting | Strategy, rarely measured | Capacity to sell |
| External sourcing | Shared AI gains, move to outcomes | Out of scope | Time-and-materials maintained |
| Execution | AI-native squads, end-to-end commitment | Handed to others | Time-and-materials |
| Proof | 900+ employees transformed at our clients | Benchmarks | Project references |
The AI-native factory, refactoring and SaaS replacement.
Discover →The agentic platform and the agent-supervised Run.
Discover →AI-ready data, AI Act, DORA, cybersecurity.
Discover →AI Workforce Planning, new AI-native roles, change at scale.
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30 minutes to benchmark your IT department and estimate the order of magnitude of the gains it is leaving on the table today.
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