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Manufacturing

Maintenance and production intelligence agents.

Agentic AI helps operations teams move from alerts and dashboards to coordinated action across maintenance, quality, and production planning.

What it does

Connects plant signals to the next best action.

Faundra Labs builds agents that monitor approved data sources, interpret abnormal patterns, create work orders, gather supporting context, and coordinate the right human response.

Who it helps

Built for operations leaders managing downtime, quality, and handoffs.

Primary buyers

  • Plant managers and operations directors
  • Maintenance and reliability leaders
  • Quality, safety, and continuous improvement teams
  • Production planning and supply chain teams

Not ideal for

  • Direct machine control without safety-certified systems
  • Plants without reliable operational data or work-order discipline
  • Critical safety actions without supervisor approval

Operating model

Systems, controls, and outcomes are designed together.

Common systems connected

  • MES, CMMS, ERP, quality, and production scheduling systems
  • Sensor feeds, machine logs, inspection records, and spare-part inventory
  • Shift notes, incident logs, and maintenance knowledge bases

Controls and governance

  • Read-only monitoring until approved task creation is configured
  • Safety escalation rules and supervisor approval for high-risk work
  • Traceable recommendations linked to alerts, history, and plant rules

Example outcomes

  • Shorter alert-to-work-order time
  • Reduced repeated downtime from unresolved root causes
  • Cleaner shift handovers and faster quality containment

Before and after

Before

Teams interpret alerts manually, search past maintenance history, and pass context between shifts.

With Faundra

The agent gathers context, recommends priority, and prepares the work package.

Benefits

Where value shows up.

Reduced downtime

Shorten the path between an early warning signal and a maintenance action.

Cleaner handovers

Summarize open issues, owners, and next steps across shifts.

Faster quality response

Collect defect context and route containment tasks before issues spread.

Better operational memory

Keep decisions, actions, and outcomes available for continuous improvement.

Examples

Practical deployments.

Maintenance triage agent

Reviews sensor alerts, recent work history, and spare-part availability before creating a prioritized work order.

Quality containment agent

Links defect reports to batches, machines, and operators, then recommends containment steps.

Shift handover agent

Builds a concise handover brief from work orders, production targets, and unresolved alerts.

Production variance agent

Detects output drift, gathers likely causes, and routes the issue to planning or line leadership.

Flow

How the agent works.

01

Observe

Read permitted signals from MES, CMMS, quality systems, sensors, and schedules.

02

Prioritize

Score urgency, operational impact, and required owner based on the plant rules.

03

Act

Create tasks, draft briefs, update systems, and escalate high-risk conditions.

Best first pilot

Start with maintenance triage or shift handover.

A strong first deployment is one production line, one asset family, or one shift handover process with clear work-order and escalation rules.

  • Inputs: recent alerts, work orders, maintenance history, spare-part data, safety rules, and shift notes.
  • Success measures: alert response time, work-order completeness, repeated-fault reduction, and handover clarity.
  • Human approval: required for shutdowns, safety actions, production changes, and high-cost maintenance decisions.

Turn production data into coordinated action.

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