← Selected Work
Regulated Pharmaceutical LeaderHealthcare & PharmaAdvise2025

From lab to production — an AI transformation roadmap.

An AI readiness audit, transformation roadmap, and technical due diligence for a pharma leader navigating strict regulatory ground.

AI readiness · technical diligence
Duration
8-week engagement
Team
3 — architect + 2 leads
Scope
28 initiatives assessed
Estate
9 systems · ~600 TB
Output
2-quarter roadmap
Standards
GxP · GDPR-aware
The challenge

The organisation had no shortage of AI ideas — and no clear way to tell which were viable, valuable, or compliant. They needed an independent read before committing budget.

Our approach

We assessed their data estate, architecture, and organisational readiness, then scored every initiative by value, feasibility, and regulatory risk — grounded in what we'd actually built before, not a generic maturity model.

What we built

A sequenced transformation roadmap, a hybrid reference architecture (cloud + on-prem for regulated workloads), a data-governance model, and a build-vs-buy analysis — board-ready, and specific enough to start on Monday.

Tech stack
Assessment
Data estate auditArchitecture reviewModel risk review
Reference architecture
Hybrid cloud + on-premVector + lakehouseMLOps blueprint
Governance
GxP-aware controlsGDPR data flowsModel validation framework
What we delivered
  • A prioritised 2-quarter roadmap across 28 initiatives
  • A hybrid reference architecture for regulated AI
  • A data-governance & model-validation framework
  • A build-vs-buy analysis per initiative
  • A board-ready briefing & cost model
Timeline
2 weeks
Data & architecture audit
3 weeks
Initiative scoring & prioritisation
3 weeks
Roadmap, architecture & governance
Data at work
28
AI initiatives assessed
9
Source systems reviewed
600TB
Data estate evaluated
Outcomes
2Q
Prioritised, board-ready plan
1
Reference architecture
0
Theoretical recommendations
Next case →A senior AI pod, embedded.

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