SASKI Agentic / Agent governance

Let agents reason.
Govern what happens next.

De-risk agentic applications by enforcing your rulebook across input, proposed actions, and output—then attest the decision.

End-to-end governance

Four stages. One governed agent path.

Four-stage SASKI Agentic flow: input check, AI plan, action enforcement, and output scan, ending in an allowed, held, or denied decision.

Select the diagram to open the full-size version.

01

Input check

Analyze intent, detect injection attempts, and apply configured PII controls before the agent proceeds.

02

AI plans

The agent receives its available tools and context, then returns a structured proposed action.

03

Action enforced

Authorization, scope, parameter bounds, prerequisites, and holds determine whether the action may proceed.

04

Output scanned

Apply configured PII and injection checks before returning the result, with evidence retained for the decision.

At the execution boundary

An instruction is not an authorization.

Apply the organization’s rulebook without asking the model to govern itself.

SASKI Agentic scans input, evaluates proposed actions against explicit rules before they touch a connected system, and scans output before returning the result. Your model handles interpretation and planning; your rulebook defines the permitted path.

Each governance outcome can retain an attestation connecting the request, applicable rule, and allow, hold, or deny decision.

Rulebook checks

Make the action boundaries explicit.

01 / Who

Identity & authorization

Check whether the requesting actor is permitted to perform the action.

02 / What

Scope & parameters

Evaluate the target, operation, and requested parameters against the allowed scope.

03 / When

Prerequisites & approval

Require applicable conditions and human authorization before execution.

Enterprise example

One rulebook. Three outcomes.

Illustrative financial workflow. Open the full-size animated visual ↗

A treasury agent proposes a transaction. SASKI applies the organization’s rulebook before any instruction reaches the payment system, then retains signed attestation for the governance decision.

01 / Within authority

Allow

An approved vendor and an amount within the configured ceiling may proceed through the governed path.

02 / Approval required

Hold

A high-value transaction pauses until the rulebook’s required human authorization is received.

03 / Outside scope

Deny

An unapproved beneficiary or prohibited request stops before capital is routed.

A governed workflow

From proposed action to attested decision.

  1. 01 / PROPOSE

    AI interprets the task

    The model proposes a response or action but does not authorize itself.

  2. 02 / GOVERN

    SASKI applies the rulebook

    Identity, scope, parameters, prerequisites, and approval requirements determine the permitted path.

  3. 03 / ATTEST

    The decision leaves evidence

    The outcome and applied rule are retained as an inspectable governance record.

SASKI separates AI reasoning from authority, then connects the rulebook decision to verifiable attestation.

Designed for operational teams

Start where actions have consequences.

Connected environments

Apply rulebook governance across enterprise workflows, IT operations, smart buildings, surveillance, access systems, and other consequential environments.

Define the integration boundary

Coverage depends on routing the relevant inputs, actions, and outputs through the governed path. Identify bypass routes, approval handling, failure behavior, and the evidence needed for attestation.

Start with your use case

What should your AI
be allowed to do?

Let’s talk