AI is entering pharma.GxP compliance can’t wait.
Autonomous agents resolve tasks, external AI models make decisions, and non‑deterministic systems reshape how pharma operates. AuditReady provides continuous, automated GxP qualification — so you can adopt AI at pace without compromising compliance.
The new reality
AI isn’t just writing code. It’s making decisions across your entire pharma operation.
AI is entering pharma from every direction. Agents triaging deviations. Models optimizing manufacturing parameters. Copilots drafting regulatory submissions. Third‑party AI embedded in vendor platforms. Every new agent, every model update, every autonomous decision touches GxP‑critical processes — and the current qualification approach can’t keep up.
AI from every direction
Deviation triage, batch optimization, predictive maintenance, regulatory intelligence — AI is entering every function. Each system operating in a GxP environment needs to be qualified, and requalified when its behavior changes.
Third-party AI everywhere
Vendor platforms embed AI you didn't build and can't fully inspect. New models arrive through partners, acquisitions, and platform updates. Onboarding each one into your qualification framework is a manual, months-long process today.
The qualification wall
Each cycle: 2–3 months, ~€1M, 100+ tasks. With AI compressing development and agents shipping changes daily, the 6-month release cadence is collapsing.
Why this is different
Existing tools use AI for compliance. We qualify the AI itself.
AI‑assisted document generation speeds up the old process. But the fundamental challenge isn’t document speed — it’s that autonomous, non‑deterministic systems break the assumptions qualification was built on.
Non-deterministic behavior
AI systems produce different outputs given the same inputs. Traditional traceability — requirement to implementation to test — breaks when the behavior isn't reproducible.
Autonomous decision-making
AI systems are triaging deviations, optimizing processes, routing approvals, and flagging risks — making consequential decisions across GxP functions. How do you validate behavior that isn't fully predetermined?
Invisible model updates
An LLM update changes system behavior without a single line of code changing. A vendor ships a new model version. Current change control doesn't account for behavioral shifts without code changes.
Multi-vendor AI landscape
Pharma will adopt AI models and agents from dozens of vendors. Each needs qualification. Each evolves independently. The qualification framework needs to scale with the ecosystem, not fight it.
How it works
Continuous qualification. For code, agents, and models.
AuditReady monitors your systems and AI landscape continuously — qualifying software changes, agent deployments, and model updates as they happen. Not as a periodic gate, but as an always‑on process.
Reads
Code changes, agent configurations, model versions, test results, issue tracking
Maps
Maps changes to GAMP 5 V-Model qualification requirements automatically
Generates
Produces draft qualification documents with full traceability chains
Validates
Flags gaps, risks, and areas requiring human judgment and review
Repeats
Every change, every deployment, every model update — always current
“Your 2–3 month qualification phase becomes a continuous background process — for every system, every agent, every model.”
Human in the loop
Start with human oversight. Build the evidence to evolve beyond it.
AuditReady is a human‑in‑the‑loop platform by design. Every AI‑generated qualification output is reviewed and approved by a qualified person. But that review process isn’t just a safety net — it’s a data collection mechanism.
Every human review — every approval, correction, and override — is systematically recorded. Over time, this builds a rich dataset of how AI qualification compares to human judgment.
AuditReady continuously benchmarks AI performance against the human baseline. You gain a quantitative understanding of where AI excels, where it falls short, and how it improves.
The earlier you start, the more data you collect. When there is statistically significant evidence that AI meets or exceeds human performance on specific tasks, the path to reduced oversight becomes defensible — backed by your own data.
Coverage
Full GAMP 5 V‑Model coverage. Every lifecycle phase. Always up to date.
Built on the GAMP 5 Second Edition framework, AuditReady covers the complete qualification lifecycle — from validation planning through operational qualification. Aligned with EU GMP Annex 11 and FDA 21 CFR Part 11.
Content extracted directly from code, agent configs, model metadata, and test artifacts
Standard document structures, regulatory boilerplate, and cross-reference frameworks
Risk assessments, edge cases, exceptions — where your experts focus their time
The team
Based in Zurich
Large-scale reliability engineering from Google, autonomous systems research, medical science from Harvard and Dana‑Farber — building the qualification engine that pharma needs for the AI era.
Kolja Esders
Former Senior Software Engineer and Tech Lead at Google, building large-scale distributed systems where uptime and reliability were mission-critical. Built metric and A/B testing systems to rigorously compare baseline performance against variations at scale. Research in path planning for autonomous vehicles using inverse reinforcement learning. M.Sc. Computer Science from KIT.
Alexander Haas
Computational oncology researcher at Harvard Medical School, Dana‑Farber Cancer Institute, and the Broad Institute of MIT and Harvard — developing ML systems for clinical decision-making. Understands firsthand the gap between what AI can do in research and what it takes to deploy it in regulated environments. MD candidate at Heidelberg University. M.Sc. Applied Computer Science.
Advisory
Built with domain experts. 25+ years of combined GxP experience.
AuditReady partners with seasoned GxP professionals to ensure every qualification output meets the rigor that regulators and auditors expect.
GxP Compliance & AI Governance
- Senior QA/RA leader and GxP compliance consultant
- 15+ years across biotech, pharma, and medtech
- Led successful BLA inspections with zero 483 observations
- Expertise in eQMS platforms, CSV/CSA, risk-based validation (21 CFR Part 11, Annex 11, ICH Q9)
- Current focus: AI governance and validation in regulated environments
- M.Sc. Regulatory Affairs · Six Sigma Black Belt
Pharma Quality & Lab Systems
- Analytical QA leadership in vaccine R&D at a top-5 global pharma company
- Former QC team lead at a leading mRNA therapeutics company
- 10+ years across GxP-regulated environments
- Hands-on experience in quality control, GMP compliance, and laboratory qualification
Let’s talk.
We’re building AuditReady with design partners in pharma. If continuous qualification for AI‑era systems resonates with your team, we’d welcome the conversation.
hello@auditready.health