Healthcare and Life Sciences

AI Agents for Healthcare and Life Sciences

Healthcare and life sciences teams run on complex processes, strict controls, and high consequences when things go wrong. In that environment, AI needs to be reliable, traceable, and designed to fit real workflows—not just impressive in a demo.

Agentic systems (AI agents that can plan steps, use approved tools, and complete tasks end-to-end) can reduce manual load, speed up decision cycles, and make knowledge easier to use across clinical, quality, regulatory, and operations.

Use Cases

Where AI Agents Help

Examples of practical, high-impact use cases include:

Clinical and R&D Operations: Reduce time spent finding protocol details, tracking study status, and turning source materials into working notes and drafts for review.
Pharmacovigilance: Help structure case intake, support triage and prioritization, and streamline narrative preparation with clear human review gates.
Regulatory & Quality: Support document review and compilation workflows, identify gaps against internal standards, and maintain an audit trail of inputs and changes.
Patient/Member Operations: Provide staff-facing copilots that answer questions using approved sources and help coordinate routine tasks across systems while respecting PHI boundaries.

Services

Consulting Engagements

Engagements are designed to produce working systems with measurable outcomes and a path to scale. Common starting points:

Use-case and Feasibility Assessment: Choose where agents will help, what data is needed, and how success will be measured.
Pilot Build (with production constraints): Deliver a thin slice that runs inside your security model, includes evaluation, and is safe to expand.
Regulated Delivery Approach: Patterns for change control, documentation, testing, monitoring, and auditability in GxP-adjacent environments.
Platform Enablement: Reference architectures for secure retrieval, tool execution, and workflow orchestration across teams and business units.

Training

Training for Leaders and Builders

Training is available for both technical and non-technical groups so teams can adopt these systems responsibly and maintain them internally. Typical formats include:

Leader Workshop: What agents can and cannot do, where they fit, and how to manage risk, governance, and ROI.
Builder Bootcamp: Hands-on implementation patterns, reliability techniques, evaluation methods, and rollout practices.
Regulated AI Playbook Session: How to operationalize traceability, documentation, review workflows, and monitoring in high-compliance environments.