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Engineering AI agent · Root-cause analysis

Root-Cause Analysis AI Agent

Evidence each cause before you name it: assemble the timeline, keep the facts and the conclusion in separate fields, and hold the review for the named engineer who signs it.

4–6 weeksTypical delivery
Your stackDeployment
Evidence firstNamed engineer
Agent CareAfter launch

What this agent does

Writes the review, never the sign-off

In
01

A review is written, because DORA Art. 13(2) compels one and no rule consulted protects it.

02

A cause is named, and 49 CFR 835.2 shields a conclusion while letting the facts beneath it in.

Reason
03

A factor is added, and Burrage reads each one as another but-for antecedent open to a plaintiff.

04

An action item is opened, and the gap before it closes is the theory Wyndham lost on.

05

An action item is never taken, and Rule 407 excludes a fix that happened, not one that did not.

Decide
06

A report is drawn for a regulator, and any divergence from the internal review is surfaced first.

07

A review is written by norm alone, and Dowling read voluntary safety reviews as unprotected.

Out
08

A cause is written for engineers, and FRE 801(d)(2)(D) admits it against the company unqualified.

09

Execute write actions only inside the approval boundaries agreed during implementation.

Product statement

Assembling the timeline, attaching the evidence and holding the draft belong to the agent. Naming the cause and signing the review belongs to a named engineer, who answers for it afterwards.

Example workflow

One review, incident to sign-off

AgentHuman
1Incident record receivedThe incident channel, the paging record, deploy history, tickets or telemetry
2Evidence assembledWhat each system shows, the source of each line, the hour it was seen and what is still unexplained
3Review draftedThe timeline, the candidate causes, the evidence under each and confidence
4Controls appliedEvidence checks, conclusion-form checks, action-item checks and confidence threshold
No human action required

Stages 1 to 4 run unaided, and nothing is signed at any of them — the agent is evidencing, and the engineer lane opens at the sign-off gate.

5DecisionSplits at the sign-off gate
Evidenced throughout

Goes to the named engineer to sign.

Anything unevidenced

Adds a service-owner read first.

Engineer review

The review is held with its timeline, its evidence and what it does not establish.

Sign · Amend · Send to owner review
Signed — by the named engineer
6Incident and tracker records updatedOnly where write access and records policy allow it
7Outcome evaluatedEvidence accuracy, amended causes, action items closed and what the next incident found
Corrections

Each engineer objection is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required8 items
Naming the cause a review stands on.
Deciding what the regulator-facing report says.
Running a second, counsel-directed investigation.
Signing off a review for circulation.
Automation boundaryAgent acts unaided
Assemble the timeline from the systems of record.
Attach the evidence under each candidate cause and mark what is missing.
Keep the stated cause and the facts beneath it in separate fields.
Hold the review for the engineer who signs it.
Nothing is signed or circulated except by a named engineer, inside the agreed boundaries.
Closing an action item as done.
Judging whether an incident was preventable.
Deciding what a customer is told afterwards.
Changes to review rules or circulation scope.

Example output

One review, annotated

A telecom copilot ranks hypotheses against alarms and a manufacturing agent reconciles stop records; this one writes the software postmortem, a document with a second readership. Below is one review as the agent leaves it.

Review output · single incidentIllustrative example
Incident
Recorded as
Stated cause
Evidence of record
Confidence
Held for
Checkout API, failed writes
Connection pool exhausted under retry
Candidate cause
Deploy log, 3 August 2026
Held unsigned
The named engineer, by name
As receivedTaken from the deploy log and the trace store — the agent vouches for what was read, not for what it caused.
What the record holds Deploy log lines Trace samples Paging record
Why no cause is fixed hereNaming the root cause is a determination a named engineer owns.
ActionSignAmendSend to owner review
What the score decidesBelow the configured threshold a review gets an owner read before the engineer sees it.

Value

Where AI adds value

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

Where the value landsValue 01 – 04
Each reviewFrom the incident that raised it
03Evidence

Where the evidence is used

Medicine has 42 U.S.C. 299b-22. Software has four district courts that split, and the two upholding privilege did so where the engineers were kept from the report.

01Approved path

The record outlives the outage

Six years of retention under 45 CFR 164.316(b)(2)(i), a search index and a link from the ticket: the reach that makes a review useful is the reach that makes it evidence.

02Human review

What was checked, and not found

No rule consulted confers a privilege on the internal review, requires the analysis to be correct, or requires an action item to be closed. NIS2 Art. 23(4)(d)(ii) asks only for the cause likely to have triggered the incident, and CIRCIA shields the report handed to CISA, not the wiki.

04Build an evidence trail

The cause, the evidence beneath it and the engineer who signed it stay together.

Integrations

Typical integrations

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

Incident and pagingPagerDuty · Opsgenie · incident.io
Rootly · FireHydrant · Jeli
Telemetry and tracesDatadog · Grafana · New Relic
Honeycomb · OpenTelemetry
Trackers and action itemsJira Software · Linear · Shortcut
ServiceNow · Azure DevOps Boards

Agent

Root-cause analysis and reviews

Reads the evidence
Drafts the review
Holds for sign-off

Version control and deploysGitHub · GitLab · Jenkins · Argo
Spinnaker · deploy and release logs
Observability & evaluationOpenTelemetry · Langfuse
Supported monitoring/evaluation sources

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

Agent controls

Six shutters between the model and the record

Six shutters over one window, the last the tightest. What is kept is set out in the map below.

L6 · Outermost — last line of defenceInward → L1 · closest to the model
L6Rollback / safe modeNarrow the agent to timeline assembly when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt and review rules, and note the version each review was drafted under.Track
L4TraceabilityRecord each review, the evidence under it, the hour it was drafted and who it reached.Record
L3Engineer sign-offHold the review for a named engineer; the hold governs release, not whether the cause is right.Gate
L2Evidence guardrailsTest each stated cause against its evidence, and return one the evidence does not carry.Restrict
L1Confidence thresholdsRoute a thin or unevidenced review to a service-owner read before the engineer sees it.Require review
Model coreReview drafted — the timeline, the candidate causes, the evidence under each and confidence
L1 – L2Test whether a review may stand
L3Leaves the sign-off to a named engineer
L4 – L5Keep the cause and the evidence behind it
L6Names contributing factors only when signals degrade

How Nestack evaluates it

Evaluate the whole review — not only the cause that comes out.

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

Surface — the review the incident record carries
Depth of coverage ▼
E1Final-output evaluationDid each stated cause stay inside the evidence attached to it?
E2Step-level evaluationDid the agent read the right window, the right deploys and the live review rules?
E3Tool evaluationDid it read and write the correct incident and the correct review?
E4Confidence calibrationDo low-confidence reviews actually attract more engineer amendments?
E5Slice evaluationHow does performance change across specific service classes?
E6Business outcomeHow many reviews needed an amendment before the engineer signed one?
Floor — the record a supervisory authority reads back

Failure modes

Where each failure originates in the agent

Seven failure modes, each set where it first shows in the review.

Agent lifecycleDirection of processing →
01 · Retrieval1 mode
RW-03

Stale evidence read

The window read is not the window that failed.

Stage gathersThe logs, the deploys, the tickets and the window
02 · Reasoning2 modes
RW-04

Cause asserted, not evidenced

A cause is named with no reads beneath it.

RW-06

Retired review rule read as live

A superseded review rule is worked as current.

Stage proposesThe timeline, the causes and the evidence
03 · Tool / write2 modes
RW-02

Thin review passed forward

A review moves on without the owner read.

RW-05

Review bound to wrong incident

The review is filed against another incident.

Stage writesOnly where write access and approval policy allow it
04 · Output1 mode
RW-01

Signed, evidence unrecorded

The record shows a sign-off but not the reads under it.

Stage returnsThe review the record carries and a court later reads
05 · Change / Version1 mode
RW-07

Silent conclusion drift

A causal rule loosens while the stored review keeps the old one.

Stage tracksModel, prompt, review rules and evidence config
Sev-1 · a cause signed on no evidence Sev-2 · a wrong cause reaches the record Sev-3 · evidence degrades, review held back

Affected slices

Repeat incidents absorb the amendments

A service-level evidence figure can read clean while repeat incidents on one service carry most of the amended causes. Nestack reports the amendment rate by service class, not only in total.

Slice performance — reported separately, not only in aggregateIllustrative example
SliceFailure rateLift Lift vs. thresholdStatus
Repeat incidents on one service7.9%3.7× Review
Multi-service cascading failures5.6%2.6× Review
Third-party and vendor causes3.5%1.6× Watch
Single-service degradations1.8%0.8× Normal
Bar: amendment-rate lift vs. single-service baseline · scale 0–4.0× · tick marks the 2.0× review threshold 2 of 4 slices over threshold

Evidence-linked improvement

What one open action item cost

A cycle ends when the action item nobody closed is a standing case. That suite is what the next review written is measured against.

Improvement cycle · five stagesSwitchback — the path turns at Improve and returns at Learn
01Detect

Amendment rate rises on one service class.

02Diagnose

The sentence that reads as candour in the room and as notice in a deposition is worked back through the evidence until one cause is left standing.

03Improve

The change ships numbered, with the reviews that prompted it filed beneath.

04Verify

One red review case is enough to hold the release back.

05Learn

It is kept for good, and the reviewing rules are amended in that same commit.

Learn → DetectThe return edge. The next review 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, review workflow, evaluation, integration, then production validation and handover.

Workstream Week 1Week 2Week 3Week 4Week 5Week 6
01Review discovery and automation-boundary definition.
02Telemetry, deploy and tracker sources.
03Review-format and action-item-tracking rule mapping.
04Incident-record ingestion.
05Evidence binding and review logic.
06Confidence scoring and review routing.
07Engineer sign-off workflow.
08Tracker-and-incident integration.
09Cause and evidence cases.
10Guardrails and circulation controls.
11Review-trail instrumentation.
12Deployment, documentation and Agent Care handover.
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 tier PilotOne service, one incident class ProductionProduction review workflow AdvancedMultiple services / regimes
Introduced at Pilot
Reviews to your evidence rules
Named engineer sign-off
Incident-history baseline
Introduced at Production
Reporting by service class
Owner review workflow in your systems
Approved tracker write-back
Telemetry-and-tracker integration
Introduced at Advanced
Multi-regime review rules
Cross-team review packs
High incident volume
Multi-service review controls
Build price From $5,000 From $8,000 Custom quote
Final build priceConfirmed after discovery based on integrations, workflow complexity, incident volume, review controls and deployment requirements.
Separate from buildBuild 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.

You bringWe build with it
01Your live services and the incidents each one raises Incident capture and review-rule versioningWeek 1
02Representative postmortems, tickets and telemetry Evidence binding, causal logic and the review baselineWeek 2
03Your on-call rota and the service owners it names Review-format mapping, evidence binding and the automation boundaryWeek 1
04Access to relevant APIs, feeds or exports Telemetry, deploy and tracker assessment, then integration setupWeek 2
05Reviews you would not want disclosed Evidence cases and the evaluation roundWeek 4
06What no review may conclude Confidence scoring, review routing, guardrails and circulation controlsWeek 3
07A named engineer who signs the review Release to the named reviewer, then pilot and production validationWeeks 5–6
Nothing else is required Deployment, documentation and Agent Care handover are ours.

Delivery timeline

Four phases across six weeks

Widths come from the work and not the grid, and week five carries two because both truly run there.

Phase W1W2W3W4W5W6
Discovery W1
Build W2 – W3
Evaluate W4 – W5
Pilot & Launch W5 – W6
Week focus W1Review-workflow discovery, review rules and the automation boundary W2Telemetry and tracker integration and the incident-history baseline W3Evidence binding, causal logic and circulation controls W4Evaluation suite, evidence cases and failure-mode testing W5Tracker integration, pilot reviews and targeted corrections W6One reliability quarter run under the service owner, then Agent Care handover
Reading the bandA band spans the weeks its own work is named in, and nothing else. The week five overlap is real.
At the end of W6Once the review record validates, Agent Care takes the agent on.
DurationSix-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Engineering AI agent

Build a root-cause analysis agent around the postmortem your last incident left behind.

Show us one postmortem you would rather not produce, and the action item still open in it. It is read later by a regulator, by a plaintiff under FRE 801(d)(2)(D), and by whoever holds your job in six years. Aviation bought candour with statute; software bought a norm.

Nestack Agents · Root-cause analysisAGT-ENG-10 · Agent Care available after launch