MasterControl is quality management software used by pharmaceutical, biotech, medical device and other life sciences companies. Quality and regulatory teams use it to control documents, manage training, run deviations, CAPAs and change controls, handle audits and supplier qualification, and keep the evidence that regulators expect to see. The records are strictly controlled, and they should be. But that control also means a quick question, such as which change controls affect a product, often turns into a task for the quality team.
Agentic CMMS gives your AI agent a careful, controlled way to read MasterControl through MCP. People ask in Claude, ChatGPT or another agent, and the agent reads quality records with only the access each person approved. Owners and admins decide which tools exist for which roles, so the agent fits your quality system instead of working around it.
What your AI agent can do with MasterControl
- Find overdue training. "Who in packaging has overdue training on the revised line clearance SOP?" The agent lists people, due dates and their supervisors.
- Review open deviations. "Which deviations on the filling line are open for more than 30 days, and what is their impact classification?"
- Connect quality events. "Which CAPAs and change controls are linked to the tablet press failures this year?"
- Check document status. "What is the effective version of SOP QA-014, and is a revision in review?"
- Draft a deviation. "Draft a deviation for a temperature excursion in cold room 2 last night, between 01:10 and 02:30." The record waits for review in your usual workflow.
- Prepare for an inspection. "Summarise CAPAs opened from last year's audit findings, with status and effectiveness checks."
- Watch supplier quality. "Which approved suppliers have qualification reviews due this quarter?" The agent adds any open complaints or deviations linked to each supplier, so the review starts with the full picture.
MasterControl with your other systems
Quality events in life sciences touch equipment, materials and people. Connect those systems and the agent can link them:
- Check the calibration and maintenance history in IBM Maximo for equipment named in a deviation.
- See which batches and materials are affected in SAP S/4HANA when a supplier issue is raised.
- Confirm job roles and new starters in Workday so training assignments stay complete.
- Find supporting validation files stored in Box for a change control.
Built with regulated work in mind
In a GxP setting, you need to know exactly what an AI agent read and changed. Each person approves their own agent, write access is a separate choice they make, owners and admins can restrict or block any MasterControl tool, and a hash-chained activity log records every call so your quality team can review it.