Biotechnology AI agent · Clinical operations

Clinical-Trial Support Agent (Study Conduct)

Track sites and subjects against the protocol schedule, find deviations and discrepancies, draft queries and keep the trial master file picture visible — for your medical monitor, CRA and investigator to act on.

Typical delivery
4–6 weeks
Deployment
Your stack
Data access
Blinded by role
After launch
Agent Care

What this agent does

Prepares what the monitor and the CRA read

In

  1. 01

    Take the protocol, its visit schedule and the plans that say what counts as an important deviation.

  2. 02

    Read the study systems as copies — subject status, visits, forms, queries, monitoring records and the TMF index.

Reason

  1. 03

    Compare each subject's visits, windows and required forms against the schedule the protocol sets.

  2. 04

    Look for deviations, missing pages and values that disagree between forms or between two systems.

  3. 05

    Draft queries in the site's own wording, and assemble the site picture a CRA takes into a visit.

Decide

  1. 06

    Send a subject-safety signal or a possible serious breach to a named person at once, not to a queue.

  2. 07

    Hold anything whose record copy, consent version or blinding status cannot be confirmed.

Out

  1. 08

    Present the deviation list, the drafted queries, the TMF gaps and the visit pack with the record behind each.

  2. 09

    Retain the reads, the drafts, the reviewer edits and the plan version the run was made under.

Product statement

The agent tracks, compares, drafts and routes inside the approval boundaries agreed during implementation. Eligibility, enrolment, randomisation, unblinding, clinical decisions and query closure stay with the investigator, the medical monitor and the sponsor's named roles.

Example workflow

One site review, end to end

  1. 1Protocol and plans readThe protocol, its visit schedule, the monitoring plan and what the sponsor pre-specified as an important deviation
  2. 2Study data copied inSubject status, visits, forms, queries, monitoring records and the TMF index, read as copies with each read logged
  3. 3Schedule comparedEach subject's visits, windows, required forms and consent version set against what the protocol states
  4. 4Findings and drafts preparedDeviations, discrepancies and TMF gaps listed, queries drafted and the site-visit pack assembled

No human action required

Stages 1 to 4 run without a person in the loop — the medical monitor is not asked to read anything until the comparison and the record checks are done. A subject-safety signal leaves for a named person the moment it is seen.

5DecisionSplits on the record check and the confidence gate
Findings hold up

Goes to the monitor as a drafted review.

A record will not confirm

Held with the unconfirmed findings marked.

Medical monitor, CRA and investigator

Read the deviation list and the drafted queries against what could not be confirmed on a record copy.

Approve · Amend · Escalate

Approved — handed back

  1. 6Pack filed to the study systemsWritten as drafts only where access and policy allow; no query is answered, and none is closed
  2. 7Outcome evaluatedDeviations missed, queries the monitor rewrote, findings dropped as false and what the CRA found on site

Amendments

Findings the monitor rewrites or drops are counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Assessing eligibility or enrolling a subject.
    • Randomising, withdrawing or discontinuing a subject.
    • Any clinical decision or instruction about a subject.
    • Unblinding, or releasing treatment-revealing data.
  • Automation boundary

    Agent acts unaided

    • ✓Compare visits and forms to the protocol schedule.
    • ✓List candidate deviations, discrepancies and TMF gaps.
    • ✓Draft queries and assemble the site-visit pack from record copies.
    • ✓Check consent version and blinding status, and hold what will not confirm.

    Write actions run only inside the approval boundaries agreed during implementation. Closing a query is not one of them.

    • Altering source data or a source document.
    • Deciding that a deviation is not reportable.
    • Answering, signing or closing a query.
  • Changing the protocol, the plans or the thresholds.

Example output

One flagged visit, annotated

Everything the agent flags is attached to the record copy and the protocol rule it came from.

Deviation review · single subject visit

Illustrative example
Site
Investigator site, blinded view
Subject
Randomised, arm not shown
Visit
V4, ±3 days
Proposed
Visit outside its window
Confidence
91%
Reportability
Left for the sponsor

As received

The visit and the schedule as the study systems hold them, read as a copy — nothing on this side is edited.

Evidence used

  • Protocol visit schedule
  • Visit date on the copy
  • Consent version in force

Why it is flagged

The visit falls outside the window the protocol sets, and the plan calls that important.

What the score decides

Below the configured threshold the finding is held for the monitor instead of the pack.

Action

ApproveAmendEscalate

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 subject visit and form

From your study systems

03Comparison & drafting

Hold the study to its own schedule

Use the visit schedule, the windows, the monitoring plan and what the sponsor pre-specified as important.

01Approved path

Cut the reading before the judgement

The deviation list, the discrepancies and the drafted queries arrive together, so a medical monitor spends the time on the calls only they can make.

02Human review

Send the CRA to the sites that moved

Out-of-window visits, ageing queries, consent-version gaps and missing trial master file records are named per site, so a visit is planned on what changed.

04

Build an evidence trail

Retain the copies read, the protocol rule behind each finding, the drafted query, the confidence, who was told of a safety signal and every reviewer edit — on both paths.

Integrations

Typical integrations

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

  • EDC & clinical data

    • Medidata Rave
    • Veeva CDMS
    • Oracle Clinical One
    • data APIs
  • CTMS & site management

    • Veeva CTMS
    • Medidata CTMS
    • site status
    • Visit reports
    • issue logs
  • eTMF & documents

    • Veeva Vault eTMF
    • Montrium
    • SharePoint
    • TMF Reference Model index

Agent

Clinical-trial support

  • Reads study copies
  • Compares to protocol
  • Routes to the monitor
  • Randomisation & safety

    • IRT / RTSM blinded views
    • safety database
    • Deviation and breach logs
  • 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 study record

Each control wraps the one inside it. A finding clears every layer before it reaches the pack a medical monitor reads.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeRestrict automation if evaluations or production signals degrade.Roll back
L5Trail and versionReads, findings, reviewer edits and model, prompt and rule changes are recorded under change control.Record
L4Monitor and PI gateDefine what may be filed as a draft; answering or closing a query waits for the site and the monitor.Gate
L3Safety routingWording on the sponsor's safety and breach lists pages a named person and records when the clock started.Escalate
L2Blinding controlsFields set as treatment-revealing are withheld by role and a read outside it refused; a field nobody set as revealing is not caught here.Withhold
L1Record bindingFindings are checked against the record copy and the protocol rule they name; unbound ones are held.Verify
Model coreFinding proposed — the deviation or discrepancy, the record copy behind it, a drafted query and confidence
L1 – L2
Decide if a finding stands and who sees it
L3
Routes safety wording to a person, records the clock
L4 – L5
Leave the decision to the site, keep the trail
L6
Pulls automation back when signals degrade

How Nestack evaluates it

Evaluate the whole review — not only the deviation list at the end.

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

Surface — the review pack the monitor opens

  1. E1Final-output evaluationWas the finding real, and the deviation the protocol actually defines?
  2. E2Comparison evaluationWere visits, windows and forms read against the current protocol version?
  3. E3Blinding evaluationDid a treatment-revealing field reach a role that should not see it?
  4. E4Query-draft evaluationDid the query name its record and ask one answerable thing?
  5. E5Slice evaluationHow does performance change across specific site and subject cohorts?
  6. E6Business outcomeHow much of the pack was rewritten, and how many gaps were already filed?

Floor — the study conduct the sponsor has to defend

Failure modes

Where each failure originates in the agent

Seven failure modes plotted against the five stages of the agent lifecycle.

Agent lifecycle

Direction of processing →

  1. 01 · Intake / retrieval

    2 modes

    • TR-01

      Compared against a superseded protocol

      An amendment moved the window; the old schedule still runs.

    • TR-02

      Consent version not read at the visit

      A visit is reviewed against a form the subject never signed.

    Stage gathers

    The protocol, its schedule and the study systems as copies

  2. 02 · Comparison

    2 modes

    • TR-03

      Deviation left off the list

      A visit outside its window reads as compliant and is never raised.

    • TR-04

      Query raised against data that is right

      The site is asked to explain a value its own source copy supports.

    Stage compares

    Subject visits, windows and forms against the schedule

  3. 03 · Drafting

    1 mode

    • TR-05

      Treatment-revealing value in a query

      A drafted query quotes a field that shows the arm.

    Stage drafts

    Queries, the deviation list and the site-visit pack

  4. 04 · Pack / output

    1 mode

    • TR-06

      Safety signal handled as a data issue

      An event in the data is read as a discrepancy, not a signal.

    Stage returns

    What the monitor, the CRA and the investigator read

  5. 05 · Change / Version

    1 mode

    • TR-07

      Silent rule change moves the findings

      A check or threshold changes with no record of who approved it.

    Stage tracks

    Amendments, model, prompt and rule changes

  • Sev-1 · the study or the blind is put at risk
  • Sev-2 · the pack misstates what happened
  • Sev-3 · findings degrade, sites carry the cost
See the complete Biotechnology failure-mode catalogue

Affected slices

A site three weeks old is not a site three years old

Sites are not equivalent and this number says so. It counts findings the monitor dropped or rewrote before the pack went out, highest where staff have not run the schedule yet or where source is on paper.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Newly activated sites5.9%3.4×Review
Paper-source and scanned visits4.1%2.3×Review
Subjects under an amended protocol3.0%1.7×Watch
Long-running stable sites1.3%0.7×Normal

Bar: dropped-finding lift vs. stable-site baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

One dropped finding changes the check that produced it

A finding the monitor threw out is not fixed by throwing it out. The check behind it moves under version control, and the next pack is read against that.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Dropped findings or missed deviations rise at one kind of site.

  2. 02

    Diagnose

    Either the rule was wrong or the copy it read was, and both happen.

  3. 03

    Improve

    The check or the schedule map is changed under change control, approver named.

  4. 04

    Verify

    The affected subjects and sites are compared again from the copies.

  5. 05

    Learn

    The dropped finding stays in the test set, with what the monitor wrote instead.

  6. Learn → Detect

    The return edge. A change to a check or a threshold in a study system is itself a change — approved, recorded and version-linked before the next comparison runs.

Typical build scope

Twelve workstreams across six weeks

The build scope read against the delivery timeline. Week structure follows the six-week plan — discovery, access and copies, comparison and drafting, evaluation, integration, then production validation and handover.

Workstream

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

  1. 01Workflow discovery and boundary definition.Week 1
  2. 02Study-system access and blinded-role design.Week 1, Week 2
  3. 03Protocol, schedule and deviation-plan mapping.Week 1, Week 2
  4. 04Record copying, read logging and source rules.Week 2
  5. 05Visit, window and required-form comparison.Week 2, Week 3
  6. 06Deviation and discrepancy detection logic.Week 3
  7. 07Query drafting in the site's own wording.Week 3, Week 4
  8. 08Trial master file gap and index checks.Week 3, Week 4
  9. 09Safety-signal and serious-breach escalation routing.Week 4
  10. 10Monitor, CRA and investigator review workflow.Week 4, Week 5
  11. 11Evaluation suite and regression subjects.Week 4, Week 5
  12. 12Integration, deployment and Agent Care handover.Week 5, 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 study, one site groupProductionProduction integrationAdvancedSeveral studies / programmes
Introduced at Pilot
Schedule comparison and deviation findings✓✓✓
Trial master file gap list✓✓✓
Blinded-role access and source copies✓✓✓
Consent-version and status checks✓✓✓
Safety and serious-breach routing✓✓✓
Query drafting and review pack✓✓✓
Baseline evaluation✓✓✓
Introduced at Production
Study-system and eTMF integration—✓✓
Observability and evaluation—✓✓
Introduced at Advanced
Several studies, sites and languages——✓
Multi-programme and enterprise controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on the studies and systems in scope, site and country coverage, subject volume, monitoring and review 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. 01The protocol, its visit schedule and the deviation plan

    Protocol, schedule and deviation-plan mapping

    Week 1
  2. 02Who may see unblinded data, and who must not

    Study-system access and blinded-role design

    Week 1
  3. 03Read access to the EDC, CTMS and eTMF you run

    Record copying, read logging and source rules

    Week 2
  4. 04A monitoring visit report your CRA has already written

    Visit, window and required-form comparison

    Week 3
  5. 05Queries your data managers wrote — the good and the wasted

    Query drafting in the site's own wording

    Week 3
  6. 06Findings that went wrong — a missed deviation, a bad query

    Evaluation suite, regression subjects and failure-mode testing

    Week 4
  7. 07Named medical monitor, CRAs and investigator contacts

    Review workflow, then pilot sites 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

Phases are drawn over the weeks they actually occupy. Week 5 puts the first drafted findings in front of a monitor while the cohort slices are still running.

Phase

W1

W2

W3

W4

W5

W6

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

Week focus

W1Protocol, schedule, deviation plan and the blinded-role map

W2Study-system access, record copies and read logging

W3Visit and window comparison, deviation and discrepancy logic

W4Query drafting, safety-routing tests and site cohort slices

W5Study-system integration, first monitor-reviewed packs and edits

W6Production validation, live sites with your monitor and Agent Care handover

Reading the band
A bar covers the weeks its work is named in, and nothing either side. Roles and copies are settled in week 1; a study system read under the wrong role cannot be unread.
At the end of W6
The monitor and the CRA decide whether the packs saved them a day. Agent Care picks up the checks, the role map and the drift in both.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Biotechnology AI agent

Build a trial-support agent around the study you are already running.

Show us one protocol, the systems your study data sits in and how a deviation reaches your medical monitor today. We do not read a study system until your roles are mapped onto its copies. That map is week one, and it is the part clients most often find they do not have.

Typical delivery
4–6 weeks
Deployment
Your clinical stack
Data access
Blinded by role, on copies
After launch
Agent Care available

Nestack Agents · Clinical-trial support

AGT-BT-03 · Agent Care available after launch

Build a clinical-trial support agent

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

About you
Your setup

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