Mining AI agent · Tailings governance

Tailings Storage Facility Governance AI Agent

Assemble the governance record a facility already owes: the engineer of record file, readings set against their triggers, the review cycle and the deviations — then hold it for the people who sign.

Typical delivery
4–6 weeks
Deployment
Your stack
Named signers
Assembly only
After launch
Agent Care

What this agent does

Assembles the record, not the review

In

  1. 01

    An instrument reports, and the reading is pulled from supported piezometer, survey, inspection and SCADA sources.

  2. 02

    A reading is set against the trigger level current on the day it was taken, not the level current today.

Reason

  1. 03

    A review falls due, and the interval is the stricter of the cycles that apply to that facility, not one global number.

  2. 04

    A raise is completed, and the record is rebuilt against the as-built survey rather than the design geometry.

  3. 05

    A change is approved, and it joins the deviation record the deviance accountability report is drawn from.

Decide

  1. 06

    An OMS review date passes, and the assumptions inside the EPRP are checked as well as the date on its cover.

  2. 07

    A disclosure round opens, and each per-facility field is traced back to the engineer of record file behind it.

Out

  1. 08

    A pack is retained as a dated version, beside the readings behind it and what each named signer was shown.

  2. 09

    A write action runs only inside the approval boundaries agreed during implementation.

Product statement

The agent assembles and keeps the record current; the engineer of record reviews and signs, and the accountable executive approves the design criteria.

Example workflow

One facility, reading to review

  1. 1Readings receivedPiezometers, survey, inspection reports and SCADA history
  2. 2Record assembledTriggers, review dates, deviations and document currency, each with its named source
  3. 3Pack draftedSurveillance record, deviation log, open items and confidence
  4. 4Controls appliedTrigger tests, review-cycle checks, deviation completeness and confidence threshold

No human action required

Stages 1 to 4 run unaided, and nothing is certified at any of them — the agent is assembling a record, and the engineer lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Goes to the engineer of record.

Low confidence

Adds a site read first.

Engineer review

The pack is held with its readings, its open items and the confidence.

Approve · Amend · Send to site review

Approved — released to the signers

  1. 6Governance record updatedOnly where write access and approval policy allow it
  2. 7Outcome evaluatedAmendment distance, open-item outcomes, review findings and post-disclosure corrections

Amendments

Every engineer amendment is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Certifying dam safety — the engineer of record.
    • Setting or revising a trigger level.
    • Clearing a TARP alarm, or standing one down.
    • Approving design criteria — the accountable executive.
  • Automation boundary

    Agent acts unaided

    • ✓Assemble the surveillance record against the triggers on file.
    • ✓Track the review cycle the consequence classification sets.
    • ✓Name deviations from the design basis report, and date them.
    • ✓Check the OMS manual and the EPRP for currency, and hold the pack.

    Writes run only inside the boundaries agreed at implementation, and never ahead of a signature.

    • Determining the consequence classification.
    • Predicting whether a facility will fail.
    • Notifying a regulator or a chief inspector.
  • Changes to trigger, review or approval rules.

Example output

One governance item, annotated

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

Governance record output · single item

Illustrative example
Facility
Very high consequence
Governance item
OMS manual annual review, read against its own date
Time since review
11 months
Source of record
OMS manual on file
Confidence
86%
Signer of record
Engineer of record, named on the file

As received

Taken from the OMS manual and the review log — nothing on this side is written by the agent.

Source facts used

  • OMS manual, dated
  • Annual review log
  • Current DSR record

Why this is open

The annual review under GISTM 2020 Requirement 6.4 has a date, and this one has passed it.

What the score decides

Below the configured threshold the item picks up a site read before the engineer sees it.

Action

ApproveAmendSend to site 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 facility

From the surveillance record

03Assembly

Read the data against the triggers

Readings are set beside the trigger levels already on file; the response stays with the TARP owner named in it.

01Approved path

The engineer of record signs

Design responsibility sits with the engineer of record — GISTM 2020, Requirement 10.4. Assembling evidence is not the review.

02Human review

Independence is the instrument

A dam safety review is independent by design — GISTM 2020, Requirement 10.5. The agent prepares what a reviewer reads and replaces neither.

04

Build an evidence trail

The reading, the trigger it crossed and the engineer who reviewed stay on the surveillance file.

Integrations

Typical integrations

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

  • Geotechnical monitoring

    • Piezometers
    • inclinometers
    • Vibrating-wire loggers
  • Survey and imagery

    • Drone and LiDAR survey
    • InSAR deformation feeds
  • Operational data

    • SCADA
    • historian
    • Deposition and water balance

Agent

Tailings governance record

  • Reads the record
  • Assembles the pack
  • Holds for review
  • Documents and disclosure

    • OMS
    • EPRP
    • DBR files
    • Disclosure and ESG systems
  • 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 layers, outermost first. What the whole set still lets through is drawn in the map below.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modePull back to record assembly when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, trigger-rule and facility-configuration changes.Track
L4TraceabilityRecord the readings, the triggers, the open items and the approval time.Record
L3Engineer approvalHold the pack for the named engineer of record; it governs release, not whether the facility is safe.Gate
L2Policy guardrailsTest the pack against the trigger and review-cycle rules; a failure returns the pack.Restrict
L1Confidence thresholdsRoute low-confidence items to a site read before the engineer sees them.Require review
Model corePack assembled — surveillance record, deviation log, open items and confidence
L1 – L2
Test whether the pack may stand
L3
Puts the release in the hands of an engineer
L4 – L5
Keep the reading and the trigger behind it
L6
Holds the dam file at unreviewed when signals degrade

How Nestack evaluates it

Evaluate the assembly workflow — not only the finished pack.

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

Surface — the record the engineer reads

  1. E1Final-output evaluationDid every item trace to the reading or document behind it?
  2. E2Step-level evaluationDid the agent use the right triggers, intervals and facility configuration?
  3. E3Tool evaluationDid it read and write the correct facility and the correct period?
  4. E4Confidence calibrationDo low-confidence items actually attract more engineer amendments?
  5. E5Slice evaluationHow does performance change across specific facility classes?
  6. E6Business outcomeHow many items were amended, or corrected after the disclosure went out?

Floor — the outcome the operator answers for

Failure modes

Where each failure originates in the agent

Seven failure modes, each set at the stage where it first arises.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • DG-03

      As-built never ingested

      The pack is assembled against design geometry.

    Stage gathers

    Readings, documents, triggers and review dates

  2. 02 · Reasoning

    2 modes

    • DG-04

      Superseded trigger level

      A revised level is not applied back across the year.

    • DG-06

      Deviations added, not assessed

      Each change passed alone, and none was read together.

    Stage proposes

    Surveillance pack, deviation log and confidence

  3. 03 · Tool / write

    2 modes

    • DG-02

      Old review interval carried

      A reclassified facility keeps its former cycle.

    • DG-05

      Date received, not conducted

      The review date published is the date it arrived.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • DG-01

      EPRP checked by date only

      Its inundation assumption is the superseded one.

    Stage returns

    The governance record the engineer of record reads

  5. 05 · Change / Version

    1 mode

    • DG-07

      Silent trigger drift

      A model or rule change alters what reads as an exceedance.

    Stage tracks

    Model, prompt, trigger rules and facility config

  • Sev-1 · a wrong pack reaches a signature
  • Sev-2 · a wrong date reaches the disclosure
  • Sev-3 · source degrades, item goes to review
See the complete Mining failure-mode catalogue

Affected slices

A clean portfolio total can hide one facility class

A portfolio-wide trigger-response rate can read as healthy while a few facility classes carry most of the returned items. Nestack reports the return rate by facility class, not only in total.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Extreme-consequence facilities9.6%3.7×Review
Facilities raised in the year7.4%2.8×Review
Facilities moving to closure4.3%1.7×Watch
Stable, unraised facilities1.9%0.7×Normal

Bar: return-rate lift vs. stable-facility 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

A cycle closes when the missed trigger is a regression case. That suite is what the next surveillance pack assembled is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Return rate rises for one facility class.

  2. 02

    Diagnose

    The reading that crossed a trigger on a Friday and was reviewed on a Tuesday is read back until the cause narrows to one.

  3. 03

    Improve

    The change ships with a number, and the triggers that forced it travel beside it.

  4. 04

    Verify

    Nothing releases while one touched surveillance case is still red.

  5. 05

    Learn

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

  6. Learn → Detect

    The return edge. The next cycle 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, governance workflow, evaluation, integration, then production validation and handover.

Workstream

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

  1. 01Governance workflow discovery and boundary mapping.Week 1
  2. 02Instrumentation and document assessment.Week 1, Week 2
  3. 03Trigger, review-cycle and deviation rule mapping.Week 1, Week 2
  4. 04Reading ingestion and reconciliation.Week 2
  5. 05Pack assembly and source binding.Week 2, Week 3
  6. 06Confidence scoring and exception routing.Week 3
  7. 07Engineer review workflow.Week 3, Week 4
  8. 08Instrumentation and document integration.Week 5
  9. 09Trigger and surveillance cases.Week 4, Week 5
  10. 10Guardrails and review controls.Week 4
  11. 11Surveillance-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 facility, one cycleProductionProduction monitoring systemsAdvancedMultiple sites / jurisdictions
Introduced at Pilot
Governance record and reconciliation✓✓✓
Engineer-of-record approval✓✓✓
Trigger-coverage baseline✓✓✓
Introduced at Production
Reporting by facility—✓✓
Exception workflow in your systems—✓✓
Approved write-back—✓✓
Instrumentation integration—✓✓
Introduced at Advanced
Multi-jurisdiction cycle rules——✓
Multi-stage governance approvals——✓
High facility count——✓
Multi-facility review controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, facility count, 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 facility list and consequence classes

    Trigger, review-cycle and deviation rule mapping

    Week 1
  2. 02Representative prior annual packs

    Reading ingestion, reconciliation and the assembly baseline

    Week 2
  3. 03Your design basis reports and OMS manuals

    Governance-record mapping and automation-boundary definition

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

    Instrumentation and document assessment, then integration setup

    Week 2
  5. 05Surveillance packs you would not want read back

    Trigger cases and failure-mode testing

    Week 4
  6. 06What no dam-safety review may omit

    Confidence scoring, exception routing, guardrails and review controls

    Week 3
  7. 07Named engineers of record to review the pack

    Engineer review 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 bands sit on the weeks each phase genuinely fills, which is why the fifth of them carries two.

Phase

W1

W2

W3

W4

W5

W6

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

Week focus

W1Governance workflow discovery, rule mapping and the automation boundary

W2Source integration and the reconciliation baseline

W3Assembly workflow, confidence logic and review controls

W4Evaluation suite, trigger checks and failure-mode testing

W5Instrumentation integration, a pilot facility and targeted corrections

W6One surveillance cycle run under the engineer of record, then Agent Care handover

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

Next step · Mining AI agent

Build the governance record before the next review falls due.

Show us your facilities, your trigger levels and who signs. If your evidence was built to carry a self-assessment, then it has not yet been asked the question a third-party assessor asks at every criterion — which record shows this.

Typical delivery
4–6 weeks
Deployment
Your monitoring data
Named signers
Assembly only
After launch
Agent Care available

Nestack Agents · Tailings storage facility governance

AGT-MN-09 · Agent Care available after launch

Build a tailings governance agent

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

About you
Your facilities

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