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Manufacturing & supply chain

Manufacturers and supply-chain operators use AI in quality, maintenance, planning and increasingly on the factory floor itself. Where AI affects safety, product quality or physical systems, governance has to be demonstrable. Gamut gives operations, quality and risk teams a structured way to govern this AI and evidence that it is safe and effective.

AI systems typically in scope

Section titled “AI systems typically in scope”
  • Visual quality inspection and defect detection.
  • Predictive maintenance for equipment and assets.
  • Production planning, scheduling and supply-chain optimisation.
  • Robotics, automation and agentic orchestration on the line.
  • Demand forecasting and supplier-risk models.

Governance drivers

Section titled “Governance drivers”
  • Product safety and quality. AI affecting safety-relevant decisions must be validated and monitored.
  • Worker safety. Automation and robotics carry physical risk requiring oversight.
  • ISO/IEC 42001. A management-system standard that fits manufacturing quality cultures.
  • Supply-chain resilience. Documented governance of models that drive critical decisions.

Use cases

Section titled “Use cases”

Validate a quality-inspection model

Section titled “Validate a quality-inspection model”

How Gamut solves it: register and model-card the model, tier it via intake, route to GTSAF and ISO/IEC 42001, and evidence accuracy, monitoring and human oversight with control tests.

Govern agentic line orchestration safely

Section titled “Govern agentic line orchestration safely”

The scenario: an agent that coordinates automation or adjusts production parameters.

How Gamut solves it: Agentic CISO sets the ATF level, Gateway enforces approval on impactful actions and fails closed, and Claw executes only through governed paths under bounded leases.

Demonstrate safety assurance

Section titled “Demonstrate safety assurance”

How Gamut solves it: a workpaper pack traces each safety control to its evidence for internal and external audit.

Quick start

Section titled “Quick start”
  1. Inventory the estate in AI System Records.
  2. Run intake and confirm tiers, flagging safety relevance and autonomy.
  3. Route to GTSAF and ISO/IEC 42001; govern line agents through the agentic stack.
  4. Evidence accuracy, safety and oversight in the Evidence Tracker and Testing Centre.
  5. Track gaps on the Remediation Roadmap.
  6. Produce safety and board assurance from reporting.

Frameworks that apply

Section titled “Frameworks that apply”

GTSAF, ISO/IEC 42001, NIST AI RMF, and for agentic operations ATF and MAESTRO.

Next

Section titled “Next”