Solutions

AI Governance for Pharmaceutical and Life Sciences

Pharmaceutical and life sciences companies operate under the strictest documentation culture in industry, GxP, FDA expectations, data integrity (ALCOA+), while deploying AI across research, clinical operations, regulatory affairs, quality, and medical affairs. The collision is obvious: AI systems whose behavior can't be fully predicted, inside workflows where every action must be traceable. Trussed AI resolves it with governance embedded at runtime: enforce policy before AI acts, and trace every interaction from prompt to output to action.

What is AI governance in life sciences?

AI governance in pharmaceutical and life sciences is the control framework over how AI systems access regulated data, generate scientific and regulatory content, and act within GxP-adjacent workflows, built on runtime policy enforcement, end-to-end traceability, validation-supporting documentation, and continuous monitoring aligned to FDA and global regulatory expectations.

Where does AI governance matter most in pharma?

Research and discovery, AI on proprietary compound and trial data; IP protection and data integrity
Clinical operations, documentation assistants and trial workflows where traceability is mandatory
Regulatory affairs, AI-assisted authoring where errors carry submission risk
Quality, AI in deviation handling and CAPA, demanding defensible records
Medical affairs and commercial, AI-generated content under promotional and scientific-exchange rules

How Trussed AI governs life sciences AI

AI Control Plane, a centralized layer enforcing policies in real time across AI apps, agents, and developer tools, with visibility, audit logs, and regulatory alignment.
Agentic Governance, authorize tool calls, data access, and workflow triggers before they run, governing complex multi-agent systems safely.
Audit Assurance, continuous evidence with traceability from prompt to output to action, supporting internal review and external regulatory examination.
Cost Governance, real-time spend tracking by team, model, and workflow with automatic budget enforcement.
Governance Advisory, operating models and review workflows that move pilots into controlled production in validated environments.
Platform Integrations, flexible deployment (including self-managed), SDKs, and APIs that fit regulated infrastructure.

Why life sciences companies choose Trussed AI

In GxP culture, "we have a policy" has never been enough, evidence of execution is the standard. Trussed produces that evidence automatically for AI: every governed interaction yields a complete, timestamped, attributable record, while runtime enforcement keeps AI inside approved boundaries, with no changes to validated application code (drop-in proxy, sub-20ms overhead).

Frequently Asked Questions

Can Trussed support validated/GxP environments? Trussed deploys without modifying application code and produces complete, attributable interaction records, characteristics that fit validation strategies. Deployment specifics (including self-managed) are scoped per environment.

Does governance cover AI used by external partners (CROs, agencies)? Yes. Proxy-based controls extend policy and auditability to AI usage in partner-facing workflows where your data is involved.

How does this support data integrity (ALCOA+)? Runtime records are attributable, legible, contemporaneous, original, and accurate by construction, generated at the moment of each AI interaction, not reconstructed later.

Related resources