One working AI solution. Not another proof of concept.
How a medical device manufacturer deployed an AI Quality & Regulatory Intelligence Assistant to improve compliance, accelerate investigations, and reduce time spent searching across thousands of quality and regulatory documents.
Critical quality and regulatory information , scattered across every system in the enterprise.
Information lived across SOP repositories, Quality Management Systems, CAPA databases, audit findings, Design History Files, regulatory submissions, and product complaint records.
Employees spent hours searching multiple systems to support investigations, audits, product development, and regulatory activities. Acquisitions and product expansion made it worse.
Leadership wanted to know whether AI could give employees immediate access to trusted information , while preserving regulatory compliance and governance.
How MAD Advisory built the AI Pilot.
Pilot Selection & Scope
- User groups
- Business objectives
- Success metrics
- Security requirements
Workflow & User Design
- Quality workflows
- Investigation processes
- Audit support
- Regulatory review
Architecture & Governance
- Secure architecture
- Data integration
- User permissions
- Regulatory controls
Solution Development
- SOP & CAPA integration
- Audit findings
- Regulatory documentation
- Retrieval & summarization
User Testing & Deployment
- Real users
- Real workflows
- Real documentation
- Usability & accuracy validated
AI Quality & Regulatory Intelligence Assistant.
A production-grade AI assistant that answers regulated questions with cited evidence drawn from the company's own SOPs, CAPAs, audit findings, and regulatory submissions.
How the solution created value.
Directional impact ranges from pilot user testing. Client data redacted.
What the client received.
Production-Grade V1 Application
Working software deployed and tested , not a sandbox demo.
User-Tested Solution
Validated using real users and real enterprise data.
Architecture & Security Documentation
Complete technical documentation and governance controls.
Deployment Readiness Package
Support model, monitoring framework, and operating procedures.
Scale-Up Plan
Roadmap for expanding across additional functions and geographies.
Built for enterprise scale.
Working software , not slideware.
"The goal was not to demonstrate AI. The goal was to solve a real business problem. By focusing on quality and regulatory workflows, the organization deployed a production-ready AI solution that employees could immediately use to improve productivity, compliance, and decision-making."
Ready to build something that actually works?
Most organizations stop at AI assessments and roadmaps. MAD Advisory builds production-ready solutions that solve real business problems , with a clear path to enterprise scale.