02 — AI Transformation

End-to-end AI in operations, in production in 3–6 months.

Audit, architecture, deployment, change management. For enterprises done with Copilot licenses nobody uses.

€80K – €250K · 3–6 months · Scoped per use case

The honest pitch

Most enterprise AI projects don't fail technically. They fail to ship.

Strategy decks land. Vendors get selected. Pilots run for 6 months and quietly die. We've watched it happen often enough to know the pattern — and we've built our delivery around avoiding it.

If any of these sound familiar

This is built for you.

You bought Copilot licenses. Adoption is below 20%. The CFO is asking questions.

Two vendors have done assessments. Both gave you a 200-page report. Neither shipped anything.

You operate inside a regulated perimeter (banking, insurance, health). Most AI vendors can't even take the meeting.

You have data. You have use cases. You don't have an internal team that can build production AI.

Your last AI initiative was rebranded as a "data project" and is now buried inside IT.

You need AI in production within the fiscal year, not the next strategic plan.

The methodology

Four phases, in production at the end.

Each phase has a hard deliverable. No phase ends with "more discovery needed."

Phase 01

Audit

We map your workflows, your data, your constraints (regulatory, security, vendor). We tell you honestly what's worth building.

  • Workflow audit
  • Use-case prioritization
  • Cost & ROI model
~ 2 weeks · Paid diagnostic
Phase 02

Architect

Stack choice, integration plan, security & compliance boundaries, change-management plan. A blueprint your CTO can sign off on.

  • Reference architecture
  • Compliance mapping
  • Build plan + budget
~ 3–4 weeks
Phase 03

Pilot

One use case, one team, in production. Real users, real metrics. The proof point that makes everything else easier to fund.

  • 1 use case live
  • Internal team trained
  • Operating runbooks
~ 6–8 weeks
Phase 04

Scale

Roll out to additional teams and use cases on the same architecture. Full handoff to the internal team — we get fired by design.

  • 2–4 additional use cases
  • Internal capability built
  • Full system handoff
~ 8–12 weeks
Pricing

Scoped per engagement.

We don't quote AI Transformation off a price sheet. These ranges reflect typical engagement sizes — the actual number is set after the audit.

Diagnostic
€80K
2-week audit + architecture

  • Full workflow audit
  • Reference architecture document
  • Use-case prioritization (top 5)
  • Cost model + ROI analysis
  • Build plan with phased budget
Start with diagnostic
Pilot · Most picked
€150K
3 months · 1–2 use cases live

  • Diagnostic + architecture
  • 1–2 production use cases live
  • Internal team training
  • Compliance & security sign-off
  • Operating runbooks + handoff
Choose Pilot
Full transformation
€250K+
6 months · End-to-end

  • All four phases delivered
  • 4+ production use cases
  • Internal AI capability built
  • Embedded engineering team
  • Post-handoff support optional
Discuss full scope
Compliance & security

Built for regulated environments.

We've shipped voice AI inside DoH and UAE Central Bank perimeters. We sign NDAs before any technical discovery and operate inside the security boundary you define.

SOC 2
Type II workflows
ISO 27001
Aligned operations
DIFC
UAE data residency
GDPR
EU client engagements
Who we're built for

Mid- to large-cap enterprises serious about AI in operations.

If you're running 5,000+ employees, or you've outgrown the "single Copilot license" stage, this offer is built for your reality. Our typical engagement profile:

Hayah InsuranceKERINGYves Saint LaurentDP WorldMajid Al Futtaim

Logos shown represent active engagements and target clients. Specific work is governed by NDA — public case studies are on the Case Studies page.

FAQ

Common enterprise questions.

Can you work inside our existing security perimeter?+

Yes. Region-locked hosting (Azure UAE, AWS EU), VPN access, your IdP — all standard. The engagement contract pins the security boundary.

Do you sign DPAs and operate inside our M365 / Azure tenant?+

Yes. DPAs, BAAs, and sub-processor approval lists are signed before any technical discovery. We can run inside your tenant or alongside it depending on your security model.

What if our compliance team blocks AI vendors by default?+

We bring a pre-built compliance pack (architecture, data flow, sub-processor list, region map) you can hand them on day one. We've gone through DoH, UAE Central Bank, and DIFC review processes already.

How is this different from McKinsey / Deloitte / BCG?+

They sell strategy decks; we ship production code. They staff 60% partners; we put senior engineers in the room. You can hire both — most clients do — but we're the team that actually lands the system.

Can you co-deliver with our internal team rather than replace them?+

That's the default. We embed alongside your team, write everything down, and hand off so your team owns the system on day one. We get fired by design.

Let's talk

Tell us what you're trying to ship.

Book a 30-min strategy call. We'll tell you in 30 minutes whether AI makes sense for your business — and if it does, exactly what we'd build, in what order, for what budget. No deck. No follow-up email sequence. Just a real conversation.

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