For compliance, risk, and AI governance leaders

Apply AI policies and review how agents follow them.

Configure how ThinkStack agents handle sensitive information, test the rules, and inspect their actions. Give the people responsible for your controls access to the evidence they need.

The work to improve

Review how an AI workflow applies your controls.

A written policy describes what should happen. The person responsible for a control also needs to see which rule applied, what information the agent used, and what happened when a step failed. ThinkStack provides policy records and execution traces for that review.

01 · Inputs your team can access
Control requirementsPolicies and permitted uses
Test casesRepresentative inputs and responses
Execution recordsTool calls and source lookups
Review recordsPolicy versions and decisions
02 · Outputs for review
Workflow concept. Connections, permitted actions, and review requirements depend on the agreed configuration.

Where to start

Prepare evidence for control owners

Configure each workflow around your policies and assign review responsibilities. These examples cover policy testing, investigation, and evidence preparation.

01Policy configuration and testingSee how a proposed rule behaves before publishing it.
Start with
Internal policy requirements and representative prompts, including cases the policy should allow and cases it should block.
Agent preparation
Prepare proposed policy changes and test the draft. Show which rules were triggered, the text that matched, the confidence scores, and the actions taken.
What your team receives
A proposed policy version and test results for the control owner.
Human review and approval
The policy owner reviews the changes, assesses false positives and missed violations, and authorizes publication.
What to measure
Time spent reviewing policy changes, false positives, and missed violations.
02AI activity investigationReconstruct the steps that produced a questioned response.
Start with
A response, the associated run, and the issue raised by a user or control owner.
Agent preparation
Retrieve the relevant source lookups, tool calls, failures, and guardrail decisions. Link the findings to the execution records.
What your team receives
An account of the run with the evidence needed to assess the issue.
Human review and approval
Investigators decide whether a control failed, assess the consequences, and agree on corrective action.
What to measure
Investigation time, completeness of the evidence, and time to verify corrective action.
03Control evidence preparationAssemble the evidence needed for an internal control review.
Start with
Approved policies, selected run records, test results, and reviewer decisions.
Agent preparation
Organize the available evidence and draft a description of how the configured workflow operates, with links to the sources. Flag missing evidence for the control owner.
What your team receives
A review package containing source references and unresolved questions.
Human review and approval
The control owner checks the scope, accuracy, and completeness of the evidence and decides whether it is sufficient for the review.
What to measure
Preparation hours, missing evidence items, and corrections requested by reviewers.

Review example

Inspect a guardrail decision

A reviewer can inspect the policy version, the matched text, and the action taken, then open the related trace.

Policy
The reviewed version of the intake privacy policy
Input
A request containing a personal identifier
Configured action
Replace the identifier with a placeholder
Decision record
The rule, text that matched, action taken, and record identifier
Related evidence
The execution trace for the same run
Illustrative control record. The example shows the fields to inspect; it does not establish detection accuracy or regulatory compliance.

Test representative cases that the policy should allow and cases it should block. Your control owners assess whether the results and remaining limitations are acceptable for the intended use.

Pilot measurement

Measure control behavior and evidence quality.

Agree on the test cases and investigation questions before assessing the workflow. Review both missed violations and unnecessary interventions.

Policy testing
False positives and false negatives confirmed by reviewers.
Investigation
Time to locate and assess the relevant execution evidence.
Evidence preparation
Hours to assemble the package and resolve missing items.
Change review
Time to approve a policy version and verify its behavior.

Platform capabilities

The modules behind these workflows

Review the relevant capabilities with your technical team and confirm the configuration for the intended use.

Policy & Guardrails

Configure and test runtime rules. Inspect which rule applied, the text that matched, and the action recorded.

View the capability

Evaluation Harness

Score representative cases against defined rubrics and compare automated scores with human review.

View the capability

Observability & Tracing

Inspect tool calls, source retrievals, generated responses, errors, and usage costs for each run.

View the capability

Enterprise Search

Retrieve relevant passages from connected information within the configured permissions.

View the capability

Document Writing Agents

Review proposed edits as tracked changes, with supporting source passages, author details, and revision history.

View the capability

Knowledge Base Management

Curate the reference material available to agents and manage its classification, access, and lifecycle.

View the capability

Common questions

Before you plan the workflow

Does this establish regulatory compliance?

Your organization determines the applicable obligations, control design, and evidence requirements. ThinkStack can support policy enforcement, testing, and evidence preparation within an agreed workflow. Your specialists assess whether that workflow meets the requirements.

What do the records show?

Guardrail records identify the rule, the text that matched it, the action taken, and the record identifier. Execution traces show tool calls, retrieved sources, generated responses, cost, and latency. Confirm which records your review requires.

Who can inspect sensitive information in execution records?

Review access permissions, masking, retention, and export permissions with your security team. The server restricts trace queries to each user’s permitted scope. Confirm that reviewers can access the records they need.

Can we automate monitoring and release decisions?

Scheduled trace analysis, per-agent drift alerts, automatic trace-review queues, and automated release checks based on evaluation results are in development. When planning your deployment, confirm the available controls and required human review steps.