AI Risk Remediation

This engagement is intended for organizations that have already completed an audit and are ready to address the actual findings. Rather than generic advice, the work is scoped around the specific governance, privacy, vendor, and operational risks you need to resolve.

• You have audit findings that identify meaningful AI risks.
• You need policies drafted or formalized.
• You need threat models or control design for key AI use cases.
• You need monitoring or governance infrastructure designed and handed off.

Every remediation engagement is unique. Deliverables are selected based on your findings, priorities, and approved scope.

• Prioritized Remediation Plan: a sequenced plan showing what to fix first and why.
• Vendor Consolidation Strategy: a recommendation set for reducing sprawl and simplifying oversight.
• Acceptable Use Policy: a formal policy defining approved AI use and prohibited behaviour.
• Data Handling and Privacy Policy: documented rules for data entry, retention, and sharing with AI systems.
• Threat Model: a structured review of risk scenarios, attack surfaces, and mitigation considerations.
• Monitoring Infrastructure Setup Guide: implementation guidance for oversight, review, and alerting practices.
• Remediation Completion Report: a close-out summary of what was addressed during the engagement.

1. Audit Findings Review: we confirm the findings, priorities, and business constraints.
2. Remediation Prioritization: we identify the highest-value fixes and define the desired outcomes.
3. Scoping and Proposal (fixed quote): we translate the required work into a scoped engagement and quote.
4. Execution: we produce the agreed policies, processes, models, and implementation guidance.
5. Delivery and Sign-Off: we review outputs with stakeholders and confirm acceptance.
6. Handoff: we transfer the materials to your internal team for ongoing use and maintenance.

From $5,000, scoped and quoted based on the remediation work required.

Prerequisite: a completed audit is required so the engagement can be tailored to real findings instead of assumptions.

Back to All Services →