AI agents and process automation for pharmaceutical manufacturers
In pharma every data point has to be traceable and every step verifiable. Octopus reads the systems you already use, from the ERP to your quality records, and hands the routine work to AI agents, while qualified people keep ownership of every regulated step.
The processes that slow down a pharmaceutical business.
Batch traceability
Linking raw materials, production batches and shipments without rebuilding the trail by hand across spreadsheets and the ERP.
GMP documentation
Batch records, certificates of analysis and supplier files to collect, check and archive consistently.
Incoming quality control
Checking supplier delivery notes and certificates against spec, and flagging non-conformities straight away.
AI agents that work inside the systems you already use.
Each agent has one clear job and reports to the Octopus layer, which coordinates work across ERP, email, documents and machines. People approve the critical steps.
Delivery notes and order handling
Reads incoming delivery notes and order confirmations, books them into the ERP and flags anything that doesn’t match the purchase order.
Routine tasks
- Reads delivery notes from email and PDF
- Books goods receipts in the ERP
- Matches against supplier orders
- Flags discrepancies
Import/export, logistics and procurement
Prepares import/export paperwork, tracks shipments and chases suppliers, keeping purchasing and inventory in sync.
Routine tasks
- Customs and export documents
- Shipment and carrier tracking
- Supplier follow-ups and confirmations
- Reorder suggestions
AI agents in Pharma
Yes, if they are designed for it: Octopus prepares, checks and records the data, but any step that requires a signature or a release stays with authorised people.
No. Octopus sits on top of your existing systems (ERP, email, documents, spreadsheets) and coordinates the work between them.