Common Challenges We Help Organizations Address
Problem 1: AI Systems Exist Without Clear Inventory or Ownership
Problem 3: Controls Are Implemented Without Clear Rationale or Assessment
Problem 2: AI and Privacy Risks Are Not Documented in a Defensible Way
Organizations deploy AI incrementally through vendors, internal teams, or pilots, without a consolidated inventory, ownership model, or governance trail.
Result:
- Leadership cannot explain what systems exist
- Risk accountability is unclear
- Oversight questions cannot be answered confidently
Problem 2: AI and Privacy Risks Are Not Documented in a Defensible Way
Problem 3: Controls Are Implemented Without Clear Rationale or Assessment
Problem 2: AI and Privacy Risks Are Not Documented in a Defensible Way
Many organizations rely on informal reviews, partial checklists, or undocumented assumptions instead of structured, auditable assessments.
Result:
- Risk decisions cannot be justified under scrutiny
- Audit and oversight responses are reactive
- Intent cannot substitute for documentation
Problem 3: Controls Are Implemented Without Clear Rationale or Assessment
Problem 3: Controls Are Implemented Without Clear Rationale or Assessment
Problem 3: Controls Are Implemented Without Clear Rationale or Assessment
Controls are often selected because they “seem reasonable” or were inherited from legacy security programs, not because they were risk-tailored for effectiveness.
Result:
- Control gaps persist unnoticed
- Over-controls increase operational burden
- Under-controls expose regulatory and reputational risk
Problem 4: Organizations Cannot Explain Their AI Governance Model
Problem 4: Organizations Cannot Explain Their AI Governance Model
Problem 3: Controls Are Implemented Without Clear Rationale or Assessment
Policies exist, but roles, escalation paths, and decision authority are unclear or inconsistently applied across systems.
Result:
- Governance breaks down in practice
- Risk acceptance decisions lack traceability
- Boards and executives lack clear visibility
Problem 5: Oversight, Audit, or Procurement Is Approaching
Problem 4: Organizations Cannot Explain Their AI Governance Model
Problem 5: Oversight, Audit, or Procurement Is Approaching
Organizations are asked to demonstrate AI and privacy governance readiness, often on short timelines, without having assessment artifacts in place.
Result:
- Scramble to reconstruct decisions
- Inconsistent narratives across teams
- Increased legal and compliance exposure
What We Do
Assess
Operate
Assess
- Sensitive data and AI system inventories
- AI Impact Assessments (AIA/AIIA)
- Privacy Impact Assessments (PIA/DPIA)
- NIST 800-53B / 53A Control Assessments
- Controls gap analysis and risk prioritization
- Vendor and model risk reviews
Design
Operate
Assess
- Privacy and AI governance frameworks
- Policy and procedure design for privacy and AI controls
- Control selection and tailoring (NIST-aligned)
- Risk scoring and escalation workflows
- Roles, ownership, and accountability models
- Executive and board reporting structures
Operate
Operate
Operate
- Control remediation planning and advisory support
- Continuous risk monitoring
- Model change and drift impact analysis
- Incident & audit readiness
- Ongoing advisory support
Services at a Glance
AI & Privacy Risk Assessments
Risk identification and prioritization
Identify, document, and prioritize AI and privacy risks across systems, data, and decision processes.
Typical engagements range from $7,500–$15,000.
NIST 800-53B / 800-53A Control Services
Control selection and assessment
Control baseline selection, assessment, and governance for high-risk and regulated systems.
Individual engagements typically range from $10,000–$30,000.
Integrated lifecycle packages range from $20,000–$45,000.
AI & Privacy Governance Program Design
Design of integrated AI and privacy governance frameworks
Design of integrated AI and privacy governance frameworks, policies, and decision workflows.
Typical engagements range from $15,000–$35,000.
Ongoing Advisory & Monitoring
Fractional advisory support
Fractional advisory support for continued AI, privacy, and control governance oversight.
Monthly engagements range from $3,000–$7,500.