Services
How we work with teams turning an assessment into action
Four formats — pick the one that fits where you are. Real prices, no contact-us-for-quote. Sign in to see the full scope, deliverables, and what we won't do.
AI Production Readiness Audit
You've built an AI prototype. Maybe with a consultancy, maybe in-house, maybe through an A4BEE Jumpstart. Two weeks tells you whether it's actually ready to run unsupervised in regulated production — and what it would cost to close the gap.
- Duration
- 2 weeks
- For
- Orgs with an existing AI deployment (prototype or production) who need an independent read on whether it's ready for regulated-industry production — or what it'll cost to get there
- Biotech
- Pharma
- Manufacturing
- AI
- Governance
- Strategy
AI Jumpstart for Biotech — fixed scope, fixed price
Two weeks. One biotech AI use case picked from a curated menu. One day of discovery workshop plus 80 hours of A4BEE engineering. Working prototype delivered at the end — not a slide deck, not a roadmap. Fixed price, day-one usable, regulatory-aware from the start.
- Duration
- 2 weeks end-to-end (1 day workshop + 80 hours engineering)
- For
- Biotech, pharma, or manufacturing org with one named AI use case and a sponsor ready to provide data + decisions for 2 weeks
- Biotech
- Pharma
- Manufacturing
- AI
- Automation
Enabling eBR — blueprint engagement
Six-week joint engagement that turns the eBR ambition into a defensible plan: AS-IS audit, TO-BE process model, technical architecture, and a sequenced implementation roadmap. Planning only — no code, no validation, no deployment.
- Duration
- 6 weeks (1 remote + 1 onsite workshop + 4 design/roadmap)
- For
- Sponsor + process, quality, IT/OT, and manufacturing leads
- Pharma
- Biotech
- Manufacturing
- Strategy
Digitizing tech transfer — blueprint engagement
Six-week joint engagement that turns the tech-transfer ambition into a defensible plan: AS-IS audit, TO-BE process model, technical architecture, and a sequenced implementation roadmap. Planning only — no platform built, no integrations shipped.
- Duration
- 6 weeks (1 remote + 1 onsite workshop + 4 design/roadmap)
- For
- R&D lead + manufacturing lead + IT/data lead + transfer programme sponsor
- Pharma
- Biotech
- Manufacturing
- Strategy
Digitizing CPV — blueprint engagement
Four-week jumpstart that turns the Continued Process Verification ambition into a defensible plan: AS-IS audit, requirements, initial technical architecture, and a prioritized roadmap. Open-source-first by default — no long vendor selection, no procurement detour, no lock-in.
- Duration
- 4 weeks (1 remote + 1 onsite workshop + 2 design/roadmap)
- For
- Sponsor + process / QA / data engineering leads on the manufacturing or biotech side
- Pharma
- Biotech
- Manufacturing
- Strategy
Enabling Data Platform — blueprint engagement
Six-week blueprint that turns the data-platform ambition into a defensible plan: AS-IS audit of data sources + systems, target 10-domain enterprise architecture, open-source-first stack, six-workstream project plan, and a sequenced roadmap. Planning only — no code, no platform stood up.
- Duration
- 6 weeks (1 remote + 1 onsite workshop + 4 design/roadmap)
- For
- Sponsor + IT, data engineering, ops, and QA leads on the biotech / pharma / manufacturing side
- Biotech
- Pharma
- Manufacturing
- Data
- Strategy
- Governance
AI Operations Retainer
You shipped the AI. Keep it from drifting silently. Monthly retainer for orgs running RAG, agents, or LLM-backed workflows in regulated-industry production. Combines model + agent monitoring, drift detection, governance review, regulatory horizon scanning, and on-call escalation. Premium variant of the standard A4BEE retainer for AI-specific operations.
- Duration
- Rolling monthly, 60-day notice to terminate
- For
- Pharma + biotech + manufacturing orgs with AI / RAG / agentic systems running in regulated production — built by A4BEE or by anyone else
- Biotech
- Pharma
- Manufacturing
- AI
- Governance
Data Platform PoC — eight-week working slice
Eight-week implementation engagement that stands up a working data platform PoC against your real systems and proves it on one production-line slice. Code shipped, data flowing, dashboard live, ontology v1 deployed. Exits with named go/no-go criteria — not a sales push.
- Duration
- 8 weeks (1 kickoff + 6 build + 1 acceptance / handover)
- For
- Sponsor + IT, data engineering, ops, QA — same stakeholder set as the Blueprint, plus a named operational user for the chosen use case
- Biotech
- Pharma
- Manufacturing
- Data
- Governance
GxP-Validated RAG Knowledge Assistant
A retrieval-augmented assistant for your SOPs, batch records, deviations, regulatory submissions — and the V-model validation file that lets you put it in production under GxP. Six to eight weeks. Working pipeline + the audit evidence package + the validation strategy.
- Duration
- 6–8 weeks depending on corpus complexity
- For
- Pharma + biotech orgs with 10k+ regulated documents (SOPs, batch records, deviations, CAPAs, submissions) and the operational appetite to use them via an AI assistant
- Biotech
- Pharma
- Manufacturing
- AI
- Data
- Governance
- Automation
Agentic AI for Biotech Operations
Multi-step AI agents that move work through your MES / LIMS / QMS instead of just answering questions about it. Wired into your operational systems via Anthropic MCP. Defined action envelope, named human-approval points, full audit trail. Built to survive a GxP inspection.
- Duration
- 10–14 weeks per agent (scope grows with integration count)
- For
- Pharma + biotech ops orgs with an integrated MES / LIMS / QMS estate and a named operational workflow they want to automate end-to-end
- Biotech
- Pharma
- Manufacturing
- AI
- Automation
- Governance
Implementation engagement
A4BEE delivery team embedded with yours — hands on keyboards, code shipped, processes changed, score moved.
- Duration
- 8–16 weeks typical; longer programmes scoped on request
- For
- Sponsor + the team that will own the work after we leave
- Manufacturing
- Automation