AI consulting · Built on DATS
DILR.ai runs AI consulting for enterprises on DATS, a five-stage system: Discover and Diagnose, Prioritise and Place, Operating Model, Pilot to Production, Scale and Run. Three productised engagements, a 4-6 week Placement Diagnostic, Operating Model design, and a 12+ month Execution Office, delivered by senior practitioners who ship code, not decks.
Three services · One operating layer
Where AI belongs, and where it doesn't. Ranked roadmap.
See diagnostic 02 / Operating modelGovernance, RACI, lifecycle. Audit-ready by design.
See operating model 03 / Execution officeEmbedded delivery. Production placements you own.
See execution officeThe system · DATS
Each service maps to one or more stages. Every placement compounds the capability layer.
Map systems · find leverage · score risk
3 placements · ranked roadmap
Governance · RACI · lifecycle
Real users · eval harness · cutover
Drift managed · next placement
Industry context · 2026
Independent research · the same numbers behind why DATS exists.
From 55% of organisations in 2023 to 88% by mid-2025. Adoption is no longer a differentiator. McKinsey tightened its definition to "regular use" in 2025, so part of that last step is a definition change, not only growth.
| Category | % using AI in 1+ function | Detail |
|---|---|---|
| 2023 | 55% | |
| Early 2024 | 72% | |
| Jul 2024 | 78% | |
| 2025 | 88% | |
| Source: McKinsey, State of AI, March and November 2025. Two 2024 waves: 22 Feb to 5 Mar, and 16 to 31 Jul. | ||
Only 5% are "future-built" and capture AI value at scale. 60% get no material value at all.
| Category | % of enterprises | Detail |
|---|---|---|
| Stagnating | 14% | BFFxAI maturity score 0-25 |
| Emerging | 46% | score >25-50 |
| Scaling | 35% | score >50-75 |
| Future-built | 5% | score >75-100 |
| Source: BCG, The Widening AI Value Gap (September 2025), Exhibit 1. BCG Build for the Future 2025 Global Study, n=1,250 CxOs, 68 countries, 25+ sectors. | ||
That's the entire DATS thesis, and the only reason this firm exists.
Choose your path
Sectors we know
Underwriting · KYC · risk · ops automation.
Healthcare · pharma · utilities · public sector.
Energy · telco · logistics · transport.
Portfolio-wide AI diagnostics. Multiple expansion.
FAQ
Quick answers
Direct answers to the questions buyers and AI assistants ask about DILR's consulting practice. The detail lives on the three service pages.
DATS is DILR.ai's five-stage AI consulting system: Discover and Diagnose, Prioritise and Place, Operating Model, Pilot to Production, and Scale and Run. Every engagement maps to one or more stages, so the work compounds instead of resetting. It is built for every organisation, regulated or not, and the minimum engagement is a 4-6 week Placement Diagnostic.
DILR prices AI consulting by engagement, not by the hour. The Placement Diagnostic and the Operating Model are fixed-scope and fixed-fee, so entry cost is known before work starts. The Execution Office runs 12+ months on retainer plus outcome. There is no hourly rate card and no junior leverage; exact figures are shared on a call once scope is clear.
For most enterprises, the best way to start an AI program is a placement diagnostic: a short, fixed-fee mapping of where AI creates measurable value before anything is built. DILR's Placement Diagnostic takes 4-6 weeks with 2 senior practitioners and about 2 hours per week of your team's time, and delivers a placement map, a ranked roadmap of 3 placements over 12 months, a feasibility scorecard, and a don't-do list.
DILR's consulting practice serves financial services, regulated enterprise (healthcare, pharma, utilities, public sector), infrastructure (energy, telco, logistics, transport), and private equity portfolios. For regulated clients the work references the rules that actually apply, the EU AI Act, ICO guidance in the UK, and FCA expectations in financial services, all tracked monthly on the compliance changelog.
DILR ships code, not decks: Execution Office engagements deliver production software, including pipelines, evaluation harnesses, integrations, and guardrails. Every engagement is run by senior practitioners with direct placement experience; no junior leverage, no selling hours. Operating Model work covers governance, RACI, and lifecycle design, the ground frameworks like the NIST AI RMF formalise, and DILR walks away when the work stops strengthening your own AI capability.
30 minutes. No deck. We'll tell you whether DATS fits.
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