AI consulting · Built on DATS

AI, placed where
value is.

Three services. One system. No hype, no decks, no 40-use-case long-lists.

Book a call →See DATSIndustry data →
  • 0 wkTime to ranked roadmapDiagnostic to placement-ready plan
  • 0 maxPlacements per yearThree shippable, no more
  • 0Named owner per shipNo orphans, ever
  • 0+ moEmbed durationWe stay until you own it

Three services · One operating layer

Pick your entry point.

01 / Diagnostic

Placement diagnostic

4–6 wk

Where AI belongs — and where it doesn't. Ranked roadmap.

See diagnostic 02 / Operating model

Operating model

6–10 wk

Governance, RACI, lifecycle. Audit-ready by design.

See operating model 03 / Execution office

Execution office

12+ mo

Embedded delivery. Production placements you own.

See execution office

The system · DATS

Five stages. One system.

Each service maps to one or more stages. Every placement compounds the capability layer.

  1. 014–6 wk

    Discover & diagnose

    Map systems · find leverage · score risk

  2. 022–3 wk

    Prioritise & place

    3 placements · ranked roadmap

  3. 034 wk

    Operating model

    Governance · RACI · lifecycle

  4. 048–12 wk

    Pilot to production

    Real users · eval harness · cutover

  5. 05Ongoing

    Scale & run

    Drift managed · next placement

Industry context · 2026

Adopting is easy. Capturing isn't.

Independent research · the same numbers behind why DATS exists.

McKinsey · State of AI 2025

AI adoption nearly tripled in 3 years.

From 33% in 2023 to 88% in 2026. Adoption is no longer a differentiator.

ServiceNow · AI Maturity Index 2026

Most enterprises are stuck in pilot.

Only 3% sit in the "Leading" tier — and capture 2.5× more EBIT.

Choose your path

Which service is for you?

  1. Mandate is new. Don't know where AI goes?
    Start with diagnostic4–6 wk · ranked roadmap
  2. Pilots running, but nothing governed?
    Operating model6–10 wk · governance + RACI
  3. Placement chosen, need to ship to production?
    Execution office12+ mo · embedded delivery

Sectors we know

Real money. Real consequences.

  • Sector 01

    Financial services

    Underwriting · KYC · risk · ops automation.

  • Sector 02

    Regulated enterprise

    Healthcare · pharma · utilities · public sector.

  • Sector 03

    Infrastructure

    Energy · telco · logistics · transport.

  • Sector 04

    PE portfolios

    Portfolio-wide AI diagnostics. Multiple expansion.

FAQ

Questions we get often.

Are you a consultancy or a product company?
Both. We build AI products (Dilr Voice, Academy, Studio) and consult on AI placement. Product work keeps advice grounded; consulting keeps products grounded.
Do you write code, or just strategy decks?
We write code. Every execution-office engagement ships production software: pipelines, eval harnesses, integrations, prompts, guardrails. If you want a deck for a drawer, wrong firm.
What's the smallest engagement you'll take?
A four-week placement diagnostic. We don't do half-day workshops or keynote briefings.
How do you price?
Diagnostics + operating-model: fixed-scope, fixed-fee. Execution office: retainer plus outcome. Ranges on call.
Do you work with startups?
Rarely. Methodology shaped by enterprise complexity, regulation, ops realities. If you're a regulated fintech or Series C scale-up with legacy ops, talk to us.
What's the difference between you and the Big 4?
No selling hours. No staffing juniors and invoicing partners. Every engagement is run by a senior practitioner with direct placement experience. We walk away if the work isn't making your AI capability stronger.
Can you sign an NDA before we talk?
Yes. Default confidential anyway. Send paper to contact@dilr.ai.

Bring us a real problem.

30 minutes. No deck. We'll tell you whether DATS fits.

Book a call →Read the philosophy →

From the blog

Field notes from the front line.

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