AI Agents for Life Sciences Batch Record Review
AI agents for life sciences batch record review check executed batch records for missing entries, out-of-range values and unresolved deviations, and prepare a review package for quality assurance. Quality teams concentrate on exceptions and decisions instead of reading every page.
Challenges We Solve
Where Batch Record Review Breaks Down
Quality teams read executed batch records page by page to find missing signatures, transcription errors and unexplained gaps before a batch can be dispositioned.
Volume
Every page is read by a person
Executed records run to many pages of entries, signatures and attachments. Reviewers read each page, which makes review time the bottleneck for disposition.
Completeness
Missing entries and signatures are found late
Blank fields, missing initials and unsigned steps are caught by a reviewer and sent back to production. Each return adds days.
Limits
Out-of-range values are spotted by eye
Process parameters and in-process results are compared with limits by hand. A missed excursion is a significant quality risk.
Deviations
Deviations are not linked to the record
Deviations and change records live in a separate system. Reviewers search to confirm that each event is raised, investigated and closed.
Attachments
Attachments are checked separately
Printouts, labels, chromatograms and equipment logs must match the record. Matching them is slow and manual.
Trends
Common errors are not tracked
The same entry mistakes recur across batches, but no one has the data to show where training or form design could change.
AI Agent Capabilities
AI Agents Built for Every Batch Record Review Workflow
Six connected capabilities designed around your batch record formats, limits and deviation system for life sciences quality and manufacturing teams.
Record Reading Agent
- Reads executed batch records from scans, PDFs and electronic batch record exports
- Extracts entries, signatures, dates and results by step
- Handles typed and handwritten entries where they are legible
- Flags illegible or ambiguous entries for a reviewer
- Keeps each extracted value linked to its page
Completeness Check Agent
- Checks every required field, signature and date in each step
- Flags blank, missing or out-of-sequence entries
- Returns a correction list to production with the exact location
- Re-checks each step after production corrects it
- Shows completeness by batch and operator
Limit Check Agent
- Compares recorded values with the limits in your master batch record
- Flags results and parameters outside range
- Checks calculations and units
- Shows the limit and the recorded value side by side
- Leaves disposition decisions to quality
Deviation Link Agent
- Matches events in the record to deviations and change records in your quality system
- Flags events without a deviation and deviations without closure
- Shows the status of each linked item
- Brings related records into the review package
- Updates as deviations are closed
Review Package Agent
- Prepares a review summary of exceptions for quality assurance
- Lists what was checked and what passed
- Attaches the evidence for each exception
- Routes the package to the assigned reviewer
- Records reviewer decisions with date and user
Quality Trend Agent
- Tracks the types and frequency of record errors across batches
- Shows trends by product, line and step
- Highlights steps with repeat errors
- Reports to quality and manufacturing leaders on a schedule
- Supports training and form design decisions
Deployment
How We Deploy Your Batch Record Review Agent
Five steps from your first call to a validated batch record review workflow connected to your quality systems.
01
Record Format and Quality System Review
We map your batch record formats, master record limits, review steps, deviation and change systems and how batches are dispositioned today.
✓ Batch record format and review step inventory
✓ Limit and deviation system map
✓ Recommended agent architecture for your environment
BUILT FOR LIFE SCIENCES QUALITY AND MANUFACTURING TEAMS
The right record visibility for every quality role
Each deployment is scoped around how a specific role depends on executed batch records. Reviewers, quality leaders and production supervisors each get the outcome they need without reading every page.
REVIEWER
Quality Assurance Reviewer
Stops reading every page. Reviews exceptions with the evidence attached.
What Changes
- Entries, signatures and dates checked on every step
- Out-of-range values flagged with the limit shown
- Deviation links checked against the quality system
- Review summary prepared for your decision
QA LEAD
Quality Head
Stops waiting on review backlog. Sees what is in review and what repeats.
What Changes
- Review status by batch and reviewer
- Common errors tracked by product and step
- Completeness trends by line
- Reports for management review on a schedule
PRODUCTION
Production Supervisor
Stops getting records back days later. Receives a precise correction list.
What Changes
- Missing entries listed with the exact location
- Corrections re-checked after they are made
- Repeat errors shown by step and operator
- Clearer input for training and form design
Meet Our CEO Haroon Jafree, CPA
25 years as a CFO and finance leader, designing agents around workflows he personally ran.
FAQ
Questions About Batch Record Review Automation
What quality reviewers, quality heads and production supervisors ask before the first call.
It uses AI agents to read executed batch records, check completeness and limits, link events to deviations and prepare a package of exceptions for quality assurance. Reviewers focus on exceptions and decisions.
Get Started
Ready to Review Batch Records by Exception?
Book a discovery call to walk through your batch record formats, your review steps and your quality systems.
Book a Discovery Call →