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Agents that work the night shift.

Autonomous workflows that watch your data, decide and act — calling tools, posting to ERP, opening tickets. Inside the policies, RBAC and audit trail your plant already runs on.

For

Operations LeadPlant ITCompliance OfficerProcess Engineer
rockq.app/agents/runs/4421

Agents / Live

Run · supplier-coa-triage · #4421

Policy: ACME-COA · RBAC: quality-bot

RUNNING
2.4 s

Trace

Plan

New COA for LOT-CU-88421 — extract, validate against spec, post if green.

extract_pdfok

doc:LOT-CU-88421.pdf · 6 fields

lookup_specok

material:Cu-OF · v3.1

validate_fieldsdrift

tensile · hardness · cert_date

Decide

Hardness drifting — escalate to QA, hold shipment.

open_ncrok

NCR-1042 · supplier=ACME

notify_teamok

channel:#qa · owner:Aiko

Guardrails

Read-only ERP unless approvedactive
Human approval on holds > €50kactive
All actions signed + auditedactive
The problem

Agents that can't be audited can't be deployed.

Generic LLM agents are too unconstrained for industrial work. Real plants need agents that watch one well-defined surface, call only the tools they're allowed to, and leave a complete audit trail behind every decision.

What's included

Capabilities included.

AI agents wired to platform tools, document extraction and anomaly monitoring — with policy-bound decisions and full run traces.

AI Agents

Autonomous workflows that watch your data, decide and act — within RBAC and policies you set, with full audit trail.

Document Extraction

Pull structured data from work orders, certificates of analysis, lab reports and supplier PDFs — with confidence-scored fields.

Anomaly Monitoring

Watch every signal for drift, spikes and out-of-spec patterns — multi-sensor, real-time, with severity-aware alerts.

How it works

Watch · decide · act · audit.

1

Scope

Define the surface: what data the agent watches, what tools it can call, who approves what.

2

Guardrail

RBAC, rate limits, dollar caps and human-in-the-loop steps — built into the run, not bolted on.

3

Run

Agents execute on a schedule or on events. Every thought, tool call and result is logged.

4

Audit

Replay any run, filter by policy, prove compliance — across thousands of decisions per shift.

Sample policies

Policies, not prompts.

Industrial agents are bounded by policy, not vibes. Three sample policies our customers run — each one says exactly what the agent watches, decides, and is allowed to act on.

policyactive

COA triage

Validates inbound supplier COAs against spec and posts to ERP, escalating drift.

watchinbound COA · supplier=ACME
decidevalidate fields against spec v3.1
actpost to ERP if all fields pass
approvehuman approval for hold > €50k
denyno writes to material master
RBAC: quality-botAudit: every action
policyactive

Anomaly response

Triages high-severity anomalies, opens tickets and pages the right team.

watchanomaly score > 0.8 · 5 min
decideclassify by asset / shift / pattern
actopen WO + page on-call
approvelot hold needs supervisor
denyno PLC writes
RBAC: ops-botAudit: full trace
policyactive

NCR routing

Routes new NCRs to the right owner and notifies the right channel — never the wrong one.

watchnew NCR in last 60 s
decideroute by line + defect class
actassign owner + notify channel
denynever auto-close NCRs
RBAC: quality-botAudit: full trace
Outcomes

Outcomes that scale operators.

12 h / day

Operator hours saved

Routine triage, tickets and follow-ups handled by bounded agents.

−85%

Time-to-action

Agents respond in seconds, with the right tool and the right context.

100%

Decisions audited

Every action signed and replayable — by run, policy, or asset.

Connects to
SAPOracleREST APIsEmailSlackTeams
Talk to the people who built it

An expert behind every solution.

Real engineers, real factory experience. Drop them a line — they'll respond, scope and propose a working architecture, not a sales deck.

Senad Redzic

Senad Redzic

Head of AI

Most factory AI dies in PoC. Mine ships because we treat the model as one piece of a deployed system — connected to live data, owned by your team, governed end-to-end.
Stefan Höhenberger

Stefan Höhenberger

COO

Manufacturing teams own their systems again. We pick problems where the win is measurable in the first quarter, then ship from there.

Pilot one bounded agent.

Pick one workflow — supplier triage, NCR routing, anomaly response. We'll deploy a policy-bound agent with full traceability.

Agents that work the night shift. | RockQ Technologies