Enterprise AI — A4BEE Track · A4BEE Service Portal

Enterprise AI

Data & AI — the governed data platform, knowledge graph, GxP-validated RAG and digital twin that everything else runs on.

Biotech
Pharma
Data
AI
Governance

The journey

Three stages, in order

Each stage is gated by the one before it. Steps within a stage can run in parallel — the gate is the stage transition, not the step ordering.

1
Score how AI-ready your data really is.
Audit
Get an evidence-based read across platform, retrieval and modelling, and pin down the highest-ROI AI opportunities before committing build spend.
- Take the Data + AI Readiness assessment
  Primary · assessment
  21-question evidence-based assessment across 7 dimensions. ~10 minutes.
- Take the Digital Twin Maturity assessment
  Deeper · assessment
  21-question evidence-based check across 7 dimensions. ~9 minutes.
- Book the AI Production Readiness Audit
  Alternate · service
  2-week paid audit of an existing AI prototype — what it takes to reach production. Paid.
- Read the 10-Domain EA Poster
  Primary · resource
  The reference architecture across 10 platform domains.
- Read the Medallion Architecture primer
  Primary · resource
  Bronze → Silver → Gold layering for biotech / pharma platforms.
- Read the Digital Twin Maturity Model
  Deeper · resource
  5-level model + 7 enablers. Your weakest enabler caps your level.
- Read 'Model-First Biotech Data Platforms'
  Deeper · resource
  Position paper on model-first vs schema-first design.
- Read 'Open-Source-First for Regulated Biotech'
  Deeper · resource
  Stack-choice philosophy: open-source defaults, commercial alternatives when they earn their keep.
- Browse the ranked biotech use-cases
  Alternate · resource
  Eleven biotech / pharma data-platform use cases plotted on complexity × value.
- Read the Cross-Domain Maturity Reference
  Alternate · resource
  Three-pillar matrix one-pager. Pin it; bring it to the off-site.
- Run a leadership alignment workshop (optional)
  Optional · service
  Half-day facilitated workshop. €2,500.
2
Plan it, prove it, build it.
Build
A six-week blueprint turns the diagnosis into a defensible plan; the PoC validates it against your real systems; implementation scales it to production.
- Scope the Data Platform Blueprint
  Primary · service
  6-week blueprint engagement — AS-IS audit + TO-BE architecture + roadmap. From €15K.
- Use the URS Template
  Primary · resource
  Pre-built User Requirements Specification template authored against the platform shape.
- Read the Six-Workstream Plan
  Primary · resource
  How a real blueprint engagement runs week-by-week.
- Run the Data Platform PoC
  Primary · service
  8-week PoC engagement with named go/no-go criteria — one source end-to-end, one use case live. From €50K.
- Reference the PoC Infrastructure Spec
  Primary · resource
  Cloud topology, IAM, observability — what 'PoC done' looks like.
- Add a GxP-Validated RAG assistant
  Alternate · service
  Retrieval-augmented assistant on your SOPs, batch records and submissions — validated under the V-model.
- Move to full implementation
  Scaling · service
  Multi-month engagement — platform, knowledge graph, digital twin and custom models to production. From €50K.
3
Keep it accurate and accountable.
Care
Managed AI-Ops, monitoring, retraining and governance so models stay trustworthy as the data evolves.
- Set up the AI Operations Retainer
  Sustain · service
  Monthly AI-Ops — drift management, retraining, governance upkeep. €5K/month.
- Or the general advisory retainer
  Alternate · service
  Monthly advisory cadence with quarterly reassessment. €5K/month.

Audit

Build

Care