Plug governance into every agentic flow.

Set clear rules for what agents can access, decide and do, with oversight built into every workflow.

Authority and control.

Your limits, enforced while the agent runs, not caught in a review afterwards.

Defined boundaries

Governance starts by drawing the line. Before an agent runs, you set what it can touch, what it can decide, the limits it can't cross, and what it must never do. Every action is checked against the version in force.

Earned autonomy

No agent starts with free rein. Each one earns autonomy in a controlled environment, moves up only on evidence, and drops back the moment the numbers turn.

Human oversight

You decide where a person steps in: by workflow, by task, by threshold. Every intervention is logged with a name, a time and a reason.

Permitted, bounded, logged.

Reading is low risk. Acting isn't. Every input and output passes through policy before a model can act on it, declared once and enforced everywhere.

Prompt injection and abuse

Injection and jailbreak attempts are stopped before they reach the model. Off-scope requests are refused, not improvised around.

Sensitive data and context filtering

Personal data is detected and masked on the way in and the way out. Context is filtered before the model sees it, so an agent gets only what the task needs, and nothing it doesn't.

Explicit grants

An agent reaches only the tools and systems it's been granted, and inherits your existing access rules. Every call is logged with its arguments and its result.

Proven and traceable.

Nothing ships on a hunch. Changes are proven against real cases before they go live, and every decision leaves a trace you can follow.

Tracing

Every action leaves a trace: the reasoning, the tool calls, and the result. When behaviour changes, you see exactly where and why.

Evaluation before release

Every prompt, tool or workflow change is tested against a suite of your real, reviewed cases, so nothing reaches production on a guess.

Continuous evaluation

Live decisions are scored against the same bar over time, so accuracy drift and regressions surface early, not in a customer complaint.

A router you can account for.

We run domain-tuned, mid-tier and frontier models together, and treat the choice between them as a decision that gets recorded.

Recorded routes

Which model handled a case is part of that case's record, so a change in cost or accuracy never arrives as an unexplained change in outcomes.

Calibrated confidence

A small model that is wrong and certain is worse than an expensive one. Thresholds come from measured reviewer agreement rather than from defaults.

Comparable evaluation

Every model runs against the same golden set, built from your own reviewed cases, so a routing change can be measured before it ships.

Kamios Trust Center.

SOC 2 Type II and ISO 27001 certified, independently audited every year. Find our control descriptions, subprocessor list and data terms, and see exactly how your data is handled at every layer.

Ready to transform your operations with AI?

Start with one workflow. Scale what works.

Book a demo Platform