Biotechnology AI agent · Deviation & CAPA

Deviation, CAPA & Change-Control AI Agent

Build the quality-event record behind a deviation — the investigation evidence, the scope-and-impact assessment, the CAPA and its effectiveness date — and run both reportability clocks for the quality unit that approves it.

Typical delivery
4–6 weeks
Deployment
Your stack
Quality unit
Pre-closure
After launch
Agent Care

What this agent does

Assembles the event, never closes it

In

  1. 01

    A deviation is raised, and the batch record, the equipment history and the events before it are pulled in.

  2. 02

    An event is normalised across the quality, manufacturing and laboratory systems, each fact carried with its source.

Reason

  1. 03

    A discovery time is entered by a person: when the information arrived, not when the record was opened.

  2. 04

    A clock runs from that time — 3 working days under 21 CFR 314.81(b)(1), 45 calendar days under 21 CFR 600.14.

  3. 05

    A scope is drawn past the batch that failed, to other batches and other products, as 21 CFR 211.192 requires.

Decide

  1. 06

    A recurrence search runs on event signature rather than free text, so a third occurrence reads as a third.

  2. 07

    A CAPA carries the effectiveness metric and window your own procedure states, and the evidence behind it.

Out

  1. 08

    A change is read against the registered dossier, and what it may need filed is put in front of the reviewer.

  2. 09

    Writes run only inside the approval boundaries agreed at implementation, and never onto an approved record.

Product statement

The agent assembles and makes no GMP determination; a named quality unit approves or rejects, and a named person signs the reportability decision.

Example workflow

One event, discovery to approval

  1. 1Event raisedLine record, laboratory result, complaint, excursion or contract-site notice
  2. 2Evidence assembledBatch records, equipment history, prior events and the entered discovery time, each with its source
  3. 3Assessment draftedScope and impact, candidate causes, CAPA draft, clock status and confidence
  4. 4Controls appliedCompleteness checks, 21 CFR 211.192 scope checks, clock checks and confidence threshold

No human action required

Stages 1 to 4 run unaided, and nothing is closed at any of them — the agent is assembling, and the quality unit's lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Goes to the quality unit to approve.

Low confidence

Adds a second investigator read first.

Quality-unit approval

The event is held with its evidence, its open questions and the confidence.

Approve · Amend · Send to second review

Approved — closure authorised

  1. 6Quality system updatedOnly where write access and approval policy allow it
  2. 7Outcome evaluatedInvestigation completeness, effectiveness-check outcomes, days to report and inspection findings

Reopenings

A closure reopened lands on the quality unit's record, and on the file inspected later.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Closing the deviation or approving the investigation.
    • Determining that an event is reportable.
    • Signing or passing an effectiveness check.
    • Setting the discovery time the clock runs from.
  • Automation boundary

    Agent acts unaided

    • ✓Assemble the event record and the evidence behind it.
    • ✓Run both reportability clocks from the entered time.
    • ✓Search prior events by signature, not by title.
    • ✓Test the pack for completeness and hold it for the quality unit.

    Writes stay inside the boundaries set at implementation, and never onto an approved record.

    • Assigning the filing category for a change.
    • Naming human error as the cause of an event.
    • Notifying responsible officials under 21 CFR 211.180(f).
  • Changes to investigation, CAPA or approval rules.

Example output

One event, annotated

Everything the agent assembles is attached to the record it was drawn from.

Quality-event output · single deviation

Illustrative example
Event
Filling-line stoppage
Assembled line
A stoppage on this line was recorded twice before under other names
Rule cited
21 CFR 211.192
Source of time
Operator-entered
Confidence
88%
Clock
Runs from the entered time

As received

Taken from the quality, manufacturing and laboratory systems — nothing on this side is written by the agent.

Evidence used

  • Prior events on the line
  • Equipment history
  • Batch record page

Why this rule

It is the scope the US rule sets, and how far it reaches is still the quality unit's call.

What the score decides

Below the configured threshold the event picks up a second investigator read before it goes up.

Action

ApproveAmendSend to second review

Value

Where AI adds value

The same four claims, placed at the point in the workflow where each one applies.

Where the value lands

Value 01 – 04

Every event

From the quality record

03Assembly

Take what the laboratory hands over

The out-of-specification page works the result; this one starts where the event, the clock and the CAPA begin.

01Approved path

The clock starts at discovery

Not at record creation. A missed date is a dateable violation, and no later investigation repairs it.

02Human review

Recurrence, not throughput

No regulator publishes a deviation cycle time or a CAPA backlog figure, and we will not borrow a vendor one.

04

Build an evidence trail

The event, the threshold it was read against and the officer who reported stay on the file.

Integrations

Typical integrations

Five system groups connect to the same agent. Which of them are in scope is decided in discovery.

  • Quality management

    • Veeva Vault QMS
    • TrackWise
    • MasterControl
    • ETQ Reliance
  • Manufacturing execution

    • Werum PAS-X
    • Syncade
    • Tulip
    • Rockwell PharmaSuite
  • Laboratory systems

    • LabWare
    • STARLIMS
    • Empower
    • LabVantage

Agent

Deviation, CAPA & change

  • Reads the event
  • Assembles the pack
  • Holds for approval
  • Regulatory and records

    • Veeva Vault RIM
    • Document control
    • archive
  • Observability & evaluation

    • OpenTelemetry
    • Langfuse
    • Supported monitoring/evaluation sources

Integration availability depends on the client's existing systems and API access.

Agent controls

Six layers between the model and the record

The six are read from the outside in. What none of them stops is set out in the map below.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeHold assembly at evidence-only when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, clock-rule and procedure-mapping changes.Track
L4Event traceabilityRecord the sources, the pack, the amendments and the approval time.Record
L3Quality-unit approvalHold events for the named quality unit; the gate governs release, not whether the closure is sound.Gate
L2Policy guardrailsTest packs against completeness, scope and clock rules; a failure returns the pack and does not judge the cause.Restrict
L1Confidence thresholdsRoute low-confidence events to a second investigator read before the quality unit sees them.Require review
Model coreEvent assembled — scope, candidate causes, CAPA draft, clock status and confidence
L1 – L2
Test whether a pack may stand
L3
Puts the closure in the quality unit's hands
L4 – L5
Keep the event and the reportability line behind it
L6
Reverts to evidence assembly when signals degrade

How Nestack evaluates it

Evaluate the assembly workflow — not only the closed record.

Coverage runs the whole depth of the workflow, and every layer is cut by slice.

Surface — the record an inspector reads

  1. E1Final-output evaluationDid the pack carry the scope, the evidence and the clock status?
  2. E2Step-level evaluationDid the agent use the right event, the right scope rule and the current procedure?
  3. E3Tool evaluationDid it read and write the correct event and the correct field?
  4. E4Confidence calibrationDo low-confidence events actually attract more quality-unit amendments?
  5. E5Slice evaluationHow does performance change across specific event classes?
  6. E6Business outcomeHow many events were reopened, and how many effectiveness checks failed?

Floor — the outcome the site answers for

Failure modes

Where each failure originates in the agent

Seven failure modes, each placed at the stage where it originates.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • EH-03

      Prior events missed

      The recurrence search never reached the earlier two.

    Stage gathers

    Batch records, equipment history and prior events

  2. 02 · Reasoning

    2 modes

    • EH-04

      Scope stops at the batch

      Other products the failure touched are left out.

    • EH-06

      Cause named as human error

      Process and system causes are not excluded in writing.

    Stage proposes

    Scope, causes, CAPA draft, clock and confidence

  3. 03 · Tool / write

    2 modes

    • EH-02

      Clock started at creation

      Days are counted from the record, not the discovery.

    • EH-05

      Effectiveness window early

      The check runs before the batches exist to support it.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • EH-01

      Change filed nowhere

      A change needed a variation and got none.

    Stage returns

    The record the quality unit approves and FDA reads

  5. 05 · Change / Version

    1 mode

    • EH-07

      Silent scope regression

      A model or rule change narrows what is investigated.

    Stage tracks

    Model, prompt, clock rules and procedure mapping

  • Sev-1 · acts on an approved record
  • Sev-2 · a report misses its statutory date
  • Sev-3 · evidence degrades, event holds
See the complete Biotechnology failure-mode catalogue

Affected slices

One event class can carry most of the failures

A site-level investigation-closure rate can look settled while a few event classes absorb most of the reopenings and the late reports. Nestack reports the reopening rate by event class, not only in total.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Contract-site discoveries8.6%3.7×Review
Sterile and biologic events6.5%2.8×Review
Complaint-driven events3.9%1.7×Watch
Routine in-process deviations2.1%0.9×Normal

Bar: reopening-rate lift vs. the routine in-process baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

No cycle closes without a new test

The loop shuts when the late report is a regression case. That suite is what the next event worked is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Reopening rate rises in one event class.

  2. 02

    Diagnose

    The finding somebody made on a Friday afternoon is read back until the cause narrows to one.

  3. 03

    Improve

    Any change goes out numbered, with the events that caused it attached.

  4. 04

    Verify

    One quality-event case still failing is enough to hold the release back.

  5. 05

    Learn

    One case joins the suite, one line joins the deviation record.

  6. Learn → Detect

    The return edge. The next detection is measured against a suite one case longer.

Typical build scope

Twelve workstreams across six weeks

The build scope read against the delivery timeline. Week structure follows the six-week plan — discovery, sources, event workflow, evaluation, integration, then production validation and handover.

Workstream

Week 1Week 2Week 3Week 4Week 5Week 6

  1. 01Quality-event workflow discovery and boundary work.Week 1
  2. 02Quality and MES source assessment.Week 1, Week 2
  3. 03Reportability, scope and CAPA procedure mapping.Week 1, Week 2
  4. 04Event ingestion and evidence normalisation.Week 2
  5. 05Assembly logic and source binding.Week 2, Week 3
  6. 06Confidence scoring and exception routing.Week 3
  7. 07Quality-unit approval workflow.Week 3, Week 4
  8. 08Quality-system and MES integration.Week 5
  9. 09Reportability and CAPA cases.Week 4, Week 5
  10. 10Guardrails and approval controls.Week 4
  11. 11Event-trail instrumentation.Week 5, Week 6
  12. 12Deployment, documentation and Agent Care handover.Week 6

12 workstreams · 6 weeks · bar shows the weeks a workstream is active — several run in parallel

Final scope and sequence confirmed in discovery

Engagement tiers

What each tier includes

Rows are the capabilities named in each tier's scope. Higher tiers include everything below them.

Capability✓ in scope · — not at this tierPilotOne site, one event classProductionProduction quality systemsAdvancedMultiple sites / regions
Introduced at Pilot
Assembly to your event record✓✓✓
Quality-unit approval✓✓✓
Investigation-completeness baseline✓✓✓
Introduced at Production
Reporting by event class—✓✓
Approval workflow in your systems—✓✓
Approved write-back—✓✓
Quality-system integration—✓✓
Introduced at Advanced
Multi-site procedure sets——✓
Multi-stage quality approvals——✓
High event volume——✓
Multi-site reportability controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, transaction volume, approval controls and deployment requirements.
Separate from build
Build pricing is separate from recurring Agent Care, which covers managed monitoring, evaluations, incidents and verified improvements after launch.

What we need from you

What you bring, and what we build with it

Each input maps to a piece of build scope and a week in the delivery timeline.

  1. 01Your event record structure and procedures

    Event ingestion and evidence mapping

    Week 1
  2. 02Representative closed investigations

    Assembly baseline, scope extraction and source binding

    Week 2
  3. 03Your CAPA, clock and escalation procedure

    Procedure mapping and automation-boundary definition

    Week 1
  4. 04Access to relevant APIs, feeds or exports

    Quality, MES and laboratory assessment, then integration setup

    Week 2
  5. 05Investigations you would not want re-opened

    Clock cases and the evaluation suite

    Week 4
  6. 06What no closure may leave unanswered

    Confidence scoring, exception routing, guardrails and approval controls

    Week 3
  7. 07Named quality-unit reviewers to approve events

    Quality-unit approval workflow, then pilot and production validation

    Weeks 5–6

Nothing else is required

Deployment, documentation and Agent Care handover are ours.

Delivery timeline

Four phases across six weeks

Each band spans the weeks its own phase actually takes, and that is why week five holds a pair.

Phase

W1

W2

W3

W4

W5

W6

  1. DiscoveryW1
  2. BuildW2 – W3
  3. EvaluateW4 – W5
  4. Pilot & LaunchW5 – W6

Week focus

W1Quality-event discovery, procedure mapping and the automation boundary

W2Quality-system integration and the assembly baseline

W3Assembly workflow, confidence logic and approval controls

W4Evaluation suite, guardrails and failure-mode testing

W5MES and laboratory integration, pilot events and targeted corrections

W6One quality cycle run under the quality unit, then Agent Care handover

Reading the band
Each bar spans only the weeks its work is named in. The week 5 overlap is two phases running, not padding.
At the end of W6
Once the event cycle validates, Agent Care assumes the running agent.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Biotechnology AI agent

Build a quality-event agent around your quality unit.

Show us your deviation procedure, your quality system and who approves. Closing the deviation, deciding what is reportable and signing the effectiveness check stay with the quality unit. Draft EU/PIC/S GMP Annex 22 — consultation closed 7 October 2025 — says generative models should not be used in critical GMP applications, and this agent is built so that it is not one. If your batch-release work stops at the release package, this page picks the event up.

Typical delivery
4–6 weeks
Deployment
Your quality system
Quality unit
Pre-closure
After launch
Agent Care available

Nestack Agents · Deviation, CAPA & change control

AGT-BT-14 · Agent Care available after launch

Build a quality-event agent

Four questions so the call starts from your actual setup — then pick a time that suits you.

About you
Your events

No obligation. We’ll map the workflow, name the automation boundary and tell you if an agent is the wrong answer.