Compliance

Built to help regulated teams use AI with confidence—through human oversight, traceability, and operational controls.

TRUST

Compliance, made clear

At Narrativa, compliance is built into how we develop and operate AI. Our platform is designed for life sciences, healthcare, and other regulated environments—helping teams work with confidence while maintaining oversight, traceability, and control.

STANDARDS

Designed for GxP environments

From Good Manufacturing Practice (GMP) to Good Clinical Practice (GCP), our platform supports the processes and controls regulated teams need to produce reliable, reviewable work.

Regulatory alignment

Our platform aligns with international and regional GxP requirements—from GMP to GCP—across regulated workflows.

Traceable outputs

Keep generated content connected to its source information so teams can verify, attribute, and review the work.

Human oversight

Keep qualified experts in control of review and approval. AI supports the work; people remain accountable for decisions.

BUILT FOR REGULATED WORK

Controls that support confidence

Narrativa’s AI solutions are tailored for pharmaceutical, biotechnology, and healthcare teams. Built-in capabilities help organizations apply oversight throughout the content lifecycle—from drafting through review.

Validation support
Support validation activities and processes for AI-enabled workflows.
Audit trails
Make activity and content changes easier to follow and review.
Role-based access
Help ensure people can access the tools and information appropriate to their role.
Expert review
Keep domain experts involved in checking accuracy, context, and regulatory fit.

RESPONSIBLE AI

Responsible AI, with people in control

Trustworthy AI depends on transparency, accountability, and continuous attention. These principles guide how we select, evaluate, and use AI across our solutions.

Transparency

Make AI-generated work explainable and traceable, with data lineage maintained throughout the process.

Privacy and security

We adhere to GDPR, HIPAA, and other relevant data-protection laws, with secure model hosting, encrypted processing, and regular vulnerability assessments.

Human accountability

Subject outputs—especially in medical writing and regulatory contexts—to expert human review.

Fairness and evaluation

Continuously evaluate models for potential bias and suitability for sensitive use cases.

Governance

A cross-functional AI Governance Committee oversees implementation and reviews evolving standards and practices.

Model selection and validation

Evaluate commercial and open-source language models through internal protocols to assess suitability for sensitive domains.

Continuous improvement

Use feedback, regulatory developments, and advances in technology to keep our approach current.

CONFIDENCE BY DESIGN

Compliance should move work forward.

Strong compliance supports the quality, reliability, and safety of every outcome—helping reduce risk, accelerate approvals, and give teams greater confidence in AI-assisted work.

Talk to our team ↗