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AI Clarity Roadmap

Your findings.
Your next moves.

The AI Clarity Framework shows where you stand. Your roadmap turns those results into the controls to prioritize, the people to involve and the proof of progress.

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One connected engagement: assessment, results and roadmap.

See a finding become a plan
Your results become a working plan

Every priority.
A path to completion.

Combine control findings, observed AI use and business risk. Build a sequence your team can explain, fund and deliver.

Why it matters
Linked finding, affected AI use and business impact.
What to change
The control, enforcement point and expected outcome.
Who and when
Accountable owner, dependencies, effort and target date.
How to prove it
Acceptance tests, closure evidence and residual-risk decision.

Prioritize by impact, exposure and authority to act, then sequence around dependencies. Mandatory requirements remain in scope; business owners confirm criticality.

Follow the same finding · F01

One finding.
Three practical moves.

Fictional example. High priority here because the agent can alter live customer records. Actual priorities require your business context.

ASSESSMENT RESULT · GOVERNANCE + SECURITY

An agent can change customer records without approval.

An agreed test completes a record change without the required human approval.

Back to the finding
  1. NOW / REDUCE EXPOSURE

    Restrict write access.

    Limit the agent to read-only access while the approval control is implemented.

    Proposed owner
    Application owner + IAM
    Evidence of completion
    A denied write test and verified permissions.
  2. NEXT / ENFORCE THE CONTROL

    Require approval to act.

    Enforce scoped authorization and approval at the tool or API boundary before a change executes.

    Proposed owner
    AI engineering + platform owner
    Dependency
    Named approver and agreed action boundaries.
  3. THEN / VERIFY AND MONITOR

    Prove the safeguard works.

    Test approved and denied actions. Link the approval, tool call and outcome so the decision can be reconstructed.

    Proposed owner
    Application owner + SecOps
    Evidence of completion
    Passing tests, usable traces and an assigned alert owner.

Agree owners, effort and target dates during planning. Retest after material changes and record the authorized decision on remaining risk. These stages illustrate sequence, not fixed delivery timelines.

The destination

Your AI
control plane.

The roadmap connects agreed controls to the places they operate: identity, AI/API/MCP gateways, delivery pipelines and monitoring.

Build on your existing tools. Add capabilities where the assessment shows a need.

Explore the control areas
Keep the framework connected

Measure the change
against the same five dimensions.

As controls are implemented, update the findings and evidence. Reassess the AI Clarity Profile so leadership can see what improved, what remains open and what needs the next investment.

Return to the five dimensions

Progress follows verified evidence. A planned action or accepted risk does not raise a capability rating.

Clarity you can put to work

Understand the risk.
Plan the next move.

Start with your AI use and priorities. Leave the assessment with findings and a roadmap your teams can act on.

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Agree scope and fees first.
Implementation and ongoing assurance are scoped separately.