Biotechnology AI agent · OOS & OOT

Out-of-Specification & Out-of-Trend Investigation AI Agent

Set out the investigation record behind a failing result — the assessment evidence, the instrument and audit trail, the hypothesis and the trend — for the analyst, supervisor and QA who decide.

Typical delivery
4–6 weeks
Deployment
Your stack
QA sign-off
Pre-conclusion
After launch
Agent Care

What this agent does

Assembles the file, never sets a result aside

In

  1. 01

    A result comes back outside specification, and the raw data, the sequence around it and the method file are pulled in.

  2. 02

    A result is normalised across the laboratory, chromatography and quality systems, each fact carried with its source.

Reason

  1. 03

    A record is built against the steps FDA sets out for the supervisor assessment in its May 2022 OOS guidance.

  2. 04

    A retained sample is checked for quantity against the retest count your own written procedure fixed in advance.

  3. 05

    A retest is proposed only where the plan naming it is written and dated before the confirmatory run.

Decide

  1. 06

    A prior-occurrence search runs on method, analyst, instrument, column and reagent lot, not on product alone.

  2. 07

    A distributed batch is flagged on day zero, because 21 CFR 314.81(b)(1) runs a three-working-day alert clock.

Out

  1. 08

    A result is set against the trend rule your firm wrote; we located no primary FDA or EU definition of out-of-trend.

  2. 09

    Writes run only inside the approval boundaries agreed at implementation, and never onto a signed investigation.

Product statement

The agent assembles and makes no GMP determination; a named analyst and supervisor assess, and QA signs the conclusion.

Example workflow

One result, failure to sign-off

  1. 1Result raisedLIMS entry, chromatography data system, stability pull or contract-laboratory report
  2. 2Evidence assembledRaw data, the injection sequence, instrument logs, retained-sample quantity and prior occurrences
  3. 3File draftedAssessment checklist, evidence trail, hypothesis, trend picture and confidence
  4. 4Controls appliedCompleteness checks, retest pre-specification checks, clock checks and confidence threshold

No human action required

Stages 1 to 4 run unaided, and no result is set aside at any of them — the agent is assembling, and the assessors lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Goes to the analyst and the supervisor.

Low confidence

Adds a second laboratory read first.

Assessment and sign-off

The file is held with its evidence, its open steps and the confidence.

Sign · Amend · Send for a second read

Signed — conclusion recorded

  1. 6Laboratory systems updatedOnly where write access and approval policy allow it
  2. 7Outcome evaluatedAssessment completeness, days to close, invalidations questioned and inspection findings

Amendments

A file reopened later is read by FDA, and what it attacks is the justification, not the number.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Invalidating a result, or setting one aside.
    • Assigning the cause of a result.
    • Concluding on batch impact or release.
    • Judging whether a laboratory error occurred.
  • Automation boundary

    Agent acts unaided

    • ✓Assemble the evidence against each step the FDA guidance enumerates.
    • ✓Pull the instrument logs and the audit trail around it.
    • ✓Search prior occurrences by method, instrument and lot.
    • ✓Test the file for completeness and hold it for the assessors to read.

    Writes stay inside the boundaries set at implementation, and never onto a signed investigation.

    • Averaging an original result with its retests.
    • Applying an outlier test to a suspect result.
    • Deciding whether a Field Alert report is due.
  • Changes to assessment, retest or trend rules.

Example output

One result, annotated

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

OOS investigation output · single result

Illustrative example
Result
Assay below limit
Assembled line
Two reprocessings and one deleted injection sit in the sequence before this result
Rule cited
21 CFR 211.194(a)(4)
Time entered by
Analyst-entered
Confidence
86%
Deadline
Thirty business days, by your SOP

As received

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

Evidence used

  • Audit trail of the run
  • Instrument log
  • Retained-sample amount

Why this rule

It is the record rule the data has to satisfy and a person still decides.

What the score decides

Below the configured threshold the file picks up a second laboratory read before it goes up.

Action

SignAmendSend for a second read

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 result

From the laboratory record

03Assembly

Start where a number already exists

The sample-tracking page owns custody up to the number; this one starts when that number is out of specification.

01Approved path

Only evidence invalidates

No laboratory or calculation error identified, no scientific basis for setting the first result aside. FDA, May 2022.

02Human review

The clock nobody quotes right

Thirty business days from the occurrence comes from Barr, decided 1993 — not from FDA guidance, which sets no limit.

04

Build an evidence trail

The result, the assessment it went through and the manager who signed 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.

  • Laboratory systems

    • LabWare
    • STARLIMS
    • LabVantage
    • Sample Manager
  • Chromatography data

    • Empower
    • OpenLab
    • Chromeleon
    • LabSolutions
  • Quality management

    • Veeva Vault QMS
    • TrackWise
    • MasterControl
    • ETQ

Agent

OOS & OOT investigation

  • Reads the result
  • Assembles the file
  • Holds for sign-off
  • Stability and trending

    • Stability programme data
    • Trend and control charts
  • 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 file

Six gates in order, the widest first. What passes every one is set out in the map below.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modePull the agent back to evidence tracking when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, checklist and trend-rule configuration changes.Track
L4Result traceabilityRecord the sources, the file, the amendments and the sign-off time.Record
L3Assessment sign-offHold files for the named assessors; the gate governs release, not whether the conclusion is sound.Gate
L2Policy guardrailsTest files against completeness, pre-specification and clock rules; a failure returns the file and names no cause.Restrict
L1Confidence thresholdsRoute low-confidence files to a second laboratory read before the assessors see them.Require review
Model coreFile assembled — assessment checklist, evidence trail, hypothesis, trend and confidence
L1 – L2
Test whether a file may stand
L3
Puts the conclusion in QA hands
L4 – L5
Keep the result and the assessment behind it
L6
Narrows to evidence tracking when signals degrade

How Nestack evaluates it

Evaluate the investigation workflow — not only the signed file.

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

Surface — the file an inspector reads

  1. E1Final-output evaluationDid the file carry each enumerated step, its evidence and its date?
  2. E2Step-level evaluationDid the agent use the right result, the right sequence and the current procedure?
  3. E3Tool evaluationDid it read and write the correct result and the correct field?
  4. E4Confidence calibrationDo low-confidence files actually attract more supervisor amendments?
  5. E5Slice evaluationHow does performance change across specific method and test types?
  6. E6Business outcomeHow many files were reopened, and how many invalidations were later questioned?

Floor — the outcome the laboratory answers for

Failure modes

Where each failure originates in the agent

Seven failure modes, set at the stage in the lifecycle each begins.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • ET-03

      Sequence not pulled

      The injections around the failing one never arrived.

    Stage gathers

    Raw data, instrument logs, audit trail and prior results

  2. 02 · Reasoning

    2 modes

    • ET-04

      Cause named too early

      Probable laboratory error stands in for evidence.

    • ET-06

      Trend limits widen

      Limits recalculated from data that holds the excursions.

    Stage proposes

    Checklist, evidence, hypothesis and confidence

  3. 03 · Tool / write

    2 modes

    • ET-02

      Clock started at entry

      Days counted from the LIMS record, not the occurrence.

    • ET-05

      Retest count adjusted

      A further run appears after the specified number.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • ET-01

      Prior failure missed

      The same column chemistry failed three times before.

    Stage returns

    The file the supervisor reads and QA signs

  5. 05 · Change / Version

    1 mode

    • ET-07

      Silent checklist drift

      A model or rule change drops an enumerated step.

    Stage tracks

    Model, prompt, checklist and trend-rule config

  • Sev-1 · acts on a signed investigation
  • Sev-2 · a result is set aside unsupported
  • Sev-3 · evidence degrades, file holds
See the complete Biotechnology failure-mode catalogue

Affected slices

The failures concentrate in a few methods

A laboratory-level assessment-completeness figure can read as settled while a few methods carry most of the amendments and the questioned invalidations. Nestack reports the amendment rate by method, not only in total.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Microbiological and sterility tests9.7%3.7×Review
Stability-programme timepoints7.1%2.7×Review
Dissolution and content uniformity4.2%1.6×Watch
Routine HPLC assay tests1.6%0.6×Normal

Bar: amendment-rate lift vs. the routine HPLC assay baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

A cycle ends where a new test starts

A cycle is done when the unsupported invalidation has become a case the next release must pass. That suite is what the next result worked is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Amendment rate rises in one method.

  2. 02

    Diagnose

    The result that failed once and was never allowed to fail again is read back until the cause narrows to one.

  3. 03

    Improve

    Stamp the change; the results behind it are filed under that number.

  4. 04

    Verify

    Each touched result case is run again, and one red stops the release.

  5. 05

    Learn

    It stays a standing test, and the assessment rules move with it.

  6. Learn → Detect

    The return edge. The next detection runs 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, investigation workflow, evaluation, integration, then production validation and handover.

Workstream

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

  1. 01Investigation workflow discovery and boundary work.Week 1
  2. 02Laboratory and CDS source assessment.Week 1, Week 2
  3. 03Assessment, retest and trend-rule procedure mapping.Week 1, Week 2
  4. 04Result ingestion and evidence mapping.Week 2
  5. 05Assembly logic and source binding.Week 2, Week 3
  6. 06Confidence scoring and exception routing.Week 3
  7. 07Analyst and supervisor sign-off workflow.Week 3, Week 4
  8. 08Laboratory and CDS integration.Week 5
  9. 09Assessment and trend cases.Week 4, Week 5
  10. 10Guardrails and invalidation controls.Week 4
  11. 11Result-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 laboratory, one methodProductionProduction laboratory systemsAdvancedMultiple sites / laboratories
Introduced at Pilot
Assembly to your result record✓✓✓
Assessment sign-off✓✓✓
Assessment-completeness baseline✓✓✓
Introduced at Production
Reporting by method—✓✓
Sign-off workflow in your systems—✓✓
Approved write-back—✓✓
Laboratory-system integration—✓✓
Introduced at Advanced
Complex trend-rule sets——✓
Multi-stage laboratory sign-off——✓
High result volume——✓
Multi-laboratory investigation 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 result record structure and procedures

    Result ingestion and evidence mapping

    Week 1
  2. 02Representative closed OOS files

    Assembly baseline, checklist extraction and source binding

    Week 2
  3. 03Your assessment, retest and trend procedure

    Procedure mapping and automation-boundary definition

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

    Laboratory, CDS and quality assessment, then integration setup

    Week 2
  5. 05Results you would not want re-tested

    Hypothesis cases and the evaluation suite

    Week 4
  6. 06What no invalidation may rest on

    Confidence scoring, exception routing, guardrails and sign-off controls

    Week 3
  7. 07Named analysts and supervisors to assess

    Assessment sign-off 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

The widths follow the weeks the work actually occupies, which is the only reason week five overlaps.

Phase

W1

W2

W3

W4

W5

W6

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

Week focus

W1Investigation discovery, procedure mapping and the automation boundary

W2Laboratory-system integration and the assembly baseline

W3Assembly workflow, confidence logic and sign-off controls

W4Evaluation suite, guardrails and failure-mode testing

W5CDS and stability integration, pilot results and targeted corrections

W6One investigation cycle run under the QA manager, then Agent Care handover

Reading the band
Each bar spans only the weeks its own work is named in. The week 5 overlap is two phases running, not padding.
At the end of W6
Validation closes on live results, and Agent Care picks up monitoring.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Biotechnology AI agent

Build an out-of-specification investigation agent around your laboratory.

Show us your OOS procedure, your chromatography system and who signs. Not an FDA rule. Thirty business days, from the occurrence of the problem, held in United States v. Barr Laboratories, 812 F. Supp. 458, decided in the District of New Jersey on 30 March 1993 — a district decision, not national precedent, and absent from FDA May 2022 OOS guidance, which sets no numeric limit at all. It binds a firm because the firm wrote it into its own procedure, and 21 CFR 211.22(d) requires that written procedures be followed. Invalidating a result, naming its cause and concluding on the batch stay with your analyst, your supervisor and your quality unit. Draft EU/PIC/S GMP Annex 22 — consultation closed 7 October 2025, no final text located as at 20 August 2026 — says generative models should not be used in critical GMP applications, and this agent is built so that it is not one. If your quality-event work starts at the deviation, this page is the laboratory result before it.

Typical delivery
4–6 weeks
Deployment
Your laboratory systems
QA sign-off
Pre-conclusion
After launch
Agent Care available

Nestack Agents · Out-of-specification investigation

AGT-BT-18 · Agent Care available after launch

Build an OOS investigation agent

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

About you
Your results

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