Quantify your AI risk exposure within 2 weeks and secure a prioritized regulatory response plan with an actionable governance roadmap.
Duration
2 Weeks
Target
Organizations in early AI adoption / Finance, healthcare, and manufacturing organizations with urgent regulatory compliance needs
Methodology
Current-state interviews, document review, NIST AI RMF-based gap analysis, control priority matrix design
Pain Point
No clear starting point for AI regulatory compliance
With frameworks like NIST AI RMF, ISO 42001, and EU AI Act all in play, it's unclear which to prioritize or how to apply them to your organization.
No quantified view of your current AI risk exposure
You lack measurable data on the regulatory risk level your operational AI systems are actually exposed to.
No evidence base to justify AI governance investment to leadership
When making the case to executives, you don't have the current-state data or prioritization rationale to back it up.
An audit is approaching and you don't know where the gaps are
With an FSS or internal audit on the horizon, you haven't yet identified which control areas are deficient.
Overview
The first step in building an AI governance framework is an accurate picture of your organization's current risk exposure — not vague concern, but decision-ready data.
RMF Jumpstart assesses your AI control maturity against NIST AI RMF 1.0 and the FSS AI Utilization Inspection Guide. Within 2 weeks, we identify risk exposure across your operational AI systems and design a prioritized regulatory response roadmap.
Findings are delivered as an executive-ready summary and naturally connect to RMF Build or AI Audit Readiness as your next step.
What We Provide
NIST AI RMF Maturity Assessment
Evaluate your current control maturity across all four NIST AI RMF 1.0 functions — Govern, Map, Measure, and Manage — at the individual control level.
Regulatory Gap Analysis
Identify item-level gaps between your current control posture and the requirements of applicable frameworks including the FSS Inspection Guide and ISO 42001.
Control Priority Matrix
Rank control items by risk impact and implementation feasibility to support resource allocation decisions with a clear, defensible rationale.
90-Day Action Roadmap
Deliver a phased execution plan that separates immediate response actions from longer-term governance build-out priorities.
Process
Kickoff
Confirm project scope, interview targets, and document review list
Current-State Interviews
Conduct interviews with AI system operators and risk management teams
Document Review
Review existing AI policies, procedures, and control documentation for completeness
Gap Analysis
Identify gaps between current control posture and regulatory framework requirements
Roadmap Design
Draft priority-based 90-day roadmap and initial control matrix
Executive Readout
Present diagnostic findings and roadmap to leadership; incorporate feedback
Kickoff
Confirm project scope, interview targets, and document review list
Current-State Interviews
Conduct interviews with AI system operators and risk management teams
Document Review
Review existing AI policies, procedures, and control documentation for completeness
Gap Analysis
Identify gaps between current control posture and regulatory framework requirements
Roadmap Design
Draft priority-based 90-day roadmap and initial control matrix
Executive Readout
Present diagnostic findings and roadmap to leadership; incorporate feedback
Deliverables
AI Risk Diagnostic Report
Quantified risk exposure assessment across your operational AI systems, broken down by control area
Regulatory Gap Analysis
Item-level gap list comparing current control posture against NIST AI RMF 1.0 and FSS Inspection Guide requirements
Control Priority Matrix
Ranked control items by risk impact and implementation feasibility to guide resource allocation
90-Day Action Roadmap
Phased execution plan separating immediate response actions from longer-term governance priorities
Executive Summary
Board- and C-suite-ready summary of AI risk status and recommended response direction
Expected Outcomes
Risk Visibility
Transform vague concern into measurable data — giving your organization a clear, defensible view of its AI risk posture.
Faster Decision-Making
The priority matrix enables focused resource allocation to the controls that matter most, eliminating guesswork.
Executive Reporting Readiness
Quantified findings and a structured roadmap give you board- and C-suite-ready materials from day one.
Who Should Apply
Get Started
Tell us about your situation and we'll outline the right path forward.
Request Consultation