4–8 week policy-to-control pilot

A Zennite AI pilot should be bounded, measurable and connected to a real assurance pain point.

Pilot objective

Prove that a selected policy, baseline or control family can be translated into implementation-specific checks, validated against live or representative assets, and packaged into useful evidence.

Suggested pilot structure

Week 1 — discovery and scoping

• Identify policy or baseline source.
• Select asset population.
• Confirm control family.
• Define evidence format.
• Identify stakeholder reviewers.

Weeks 2–3 — mapping and validator preparation

• Extract policy clauses.
• Map clauses to control intent and technical implementation.
• Prepare validators and evidence schema.
• Review mappings with customer SMEs.

Weeks 4–6 — validation and evidence generation

• Run checks against agreed assets or representative data.
• Classify compliant, non-compliant, exception and unknown states.
• Generate evidence packs.
• Review findings with security, infrastructure and GRC stakeholders.

Weeks 7–8 — remediation workflow and next-step plan

• Propose remediation or exception workflows.
• Validate approval and rollback requirements.
• Produce pilot report and production-readiness assessment.

Success criteria

A successful pilot should demonstrate:

• Accurate policy-to-control mapping.
• Useful deterministic validation.
• Evidence acceptable to security and assurance stakeholders.
• Clear handling of exceptions and remediation.
• A credible path to production deployment.

Contact Zennite AI to scope a pilot.