DIGI7S / INTELLIGENCE IN MOTION
About / Responsible AI

Responsible AI & Human Control

Trust comes from defined boundaries and observable behaviour. Controls are scoped to each implementation and agreed with the people who own the process.

Permission follows the task

Decide which sources the system may read and which actions it may take. Separate read access from write access, and avoid giving an agent broad permissions simply because an integration supports them.

Make human authority visible

Specify the decisions that remain with people. A high-impact action, conflicting instruction or low-confidence result can trigger a review queue instead of automatic execution.

Ground answers in approved evidence

For knowledge workflows, retrieve approved sources, respect access boundaries and show supporting references. If evidence is insufficient, the system should say so and offer an appropriate escalation.

Plan data handling before connecting systems

Identify the information being processed, approved providers, retention expectations and hosting requirements. These are project decisions, not assumptions or blanket promises of compliance.

Measure failures as well as success

Track incorrect answers, inappropriate actions, failed tool calls and escalations alongside speed and cost. An audit trail and recovery plan help the operational owner respond when something goes wrong.

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Start with the friction

Bring us the work that should move.

Show us one process, the inputs it depends on and the outcome it should create. We will map the system around it.

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