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Category 06

Security & governance

Control, visibility and audit: what a serious business needs in place before a system is allowed to act on its behalf.

Is our data safe?

Your data stays in your accounts. Systems are built on infrastructure you own, with access scoped to the specific records a role needs rather than blanket permissions. We do not pool client data, and we do not use your records to train anything shared. Where a model provider is involved, it is used under terms that exclude training on your inputs.

Access scoping is the practical control most often skipped. An agent that can read everything is a much larger problem than one that can read the intake queue.

Can we see what the system decided and why?

Yes — every decision is logged with its inputs, its confidence and its reasoning, and every action is attributable. That record is what makes the system reviewable rather than merely fast. In regulated settings it is also the difference between a system you can defend to an auditor and one you quietly stop using.

We build observability in from the start rather than adding it after an incident, because retro-fitting an audit trail means the earliest decisions are the ones you cannot explain.

How does human escalation work?

Each role carries a confidence threshold. Below it, the system stops and routes the case to a named person with the context and its own reasoning attached. Thresholds start conservative — escalating often — and are lowered only as measured accuracy justifies it. Irreversible actions stay behind a human approval regardless of confidence.

Escalation volume is itself a metric. A rate that is falling steadily means the system is learning its edges; a rate that jumps means something upstream changed.

What about incorrect or invented answers?

The defence is structural rather than promissory. Answers are grounded in your own records with citations, outputs are validated against a schema before anything is written, low confidence escalates rather than guesses, and a sample of real cases is re-scored against human reviewers on a schedule so accuracy is a tracked number rather than an assurance.

We do not claim a system that never errs. We claim one where errors are bounded, visible and measured — which is the standard any other business process is held to.

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