Pharma & Life Sciences

Typical challenges

• Validation documentation is extremely labor-intensive and tightly regulated
• Batch records are manual and error-prone
• Regulatory affairs is time- and staff-intensive
• Quality assurance is document-heavy
• Audit preparation ties up entire teams for weeks

What this costs you

Creating and reviewing batch records by hand. Manually maintaining and versioning SOPs. Labor-intensive documentation of deviation reports. Audit preparation as a full-time job. Lab data isolated and not integrated.

What’s possible with AI

• Batch record review: automatically review batch records
• SOP knowledge management: make standard operating procedures searchable and queryable
• Deviation classification: automatically detect and assess quality deviations
• Regulatory intelligence: automatically track regulatory changes
• Document processing: capture validation documents in structured form

Relevant references

• Build-out planned

Matching entry offers

• Document Test Run: automatically analyze validation documents
• Knowledge Check: make regulatory affairs knowledge usable