Turn the NIST AI RMF Into A Risk Programme That Runs

The NIST AI RMF is voluntary and outcomes-based — its quality depends entirely on what you build into it. Veloraa designs and implements AI risk management capability across all four functions: GOVERN, MAP, MEASURE, and MANAGE.

 
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What We Build

NIST AI RMF 1.0

Our standard
GOVERN

Policies, accountability & culture

MAP

Context, inventory & risk identification

MEASURE

Risk analysis, testing & metrics

MANAGE

Treatment, monitoring & improvement

Our standard
Typical Timeline

3–5 Months

Engagement Type

Consulting

Target Tier

Tier 3 (Repeatable)

Framework - NIST AI RMF 1.0
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Our Approach

Structure Applied to A Flexible Framework

Function 1
GOVERN
Establishes the organizational foundation for AI risk management — without which MAP, MEASURE, and MANAGE cannot operate consistently or with accountability.
Key Outputs
AI Risk Policy, Accountability Matrix, Risk Tolerance Statement, Governance Structure, Competence Framework
Function 2
MAP
Builds organizational visibility of the AI landscape — what systems exist, who they affect, and what categories of risk they carry. You cannot manage what you have not mapped.
Key Outputs
AI System Inventory, Risk Register Template , Risk Categorisation Criteria, Context Documentation, Supply Chain Procedure
Function 3
MEASURE
Develops the methods and metrics your organization uses to analyse, evaluate, and track AI risk — covering technical testing, bias evaluation, explainability, and performance monitoring.
Key Outputs
Risk Evaluation Method, AI Testing Framework, Bias Review Checklist, KRI Framework, Monitoring Cadence
Function 4
MANAGE
Operationalises the risk programme — building the procedures through which identified risks are prioritised, treated, tracked, and continuously improved across the AI lifecycle.
Key Outputs
Risk Treatment Plan, Incident Procedure, Residual Risk Process,Treatment Register, Review Cadence

Programme Methodology

Four Phases. A Programme That Operates.

Implementation follows a sequenced four-phase programme — building GOVERN first, then MAP, then MEASURE and MANAGE in parallel, before integrating the full programme and validating operation.

01
Baseline & Design
Assess current state, scope the programme, and design the governance foundation
02
GOVERN & MAP
Build accountability structures, policies, AI inventory, and risk identification processes
03
MEASURE & MANAGE
Develop risk evaluation methods, testing frameworks, treatment procedures, and monitoring
04
Integration & Handover
Run the full programme cycle, train owners, and hand over to internal operation

How We Engage

Built Around Your Capacity and Starting Point

Three engagement models adapt Veloraa’s programme methodology to your organization’s internal capacity, existing governance maturity, and timeline.

Full Programme Build

Veloraa Leads

Veloraa designs, develops, and implements all four NIST AI RMF functions — your team provides organizational context, approvals, and participates in training. Best for organizations without an existing risk governance team.

Typical timeline: 3–4 months
 
Veloraa leads all four function workstreams
Weekly steering sessions with your risk owner
Full programme cycle run before handover

Collaborative Build

Partnership Model

Veloraa structures the programme and provides expert guidance while your team authors and owns key outputs. Builds internal capability alongside the risk programme — recommended for organizations investing in long-term AI governance maturity.

Typical timeline: 4–5 months
 
Your team drafts, Veloraa reviews and quality-checks
Bi-weekly programme workshops per function
Deep capability transfer built in throughout

Function Advisory

Targeted Expert Support

For organizations that have an existing partial programme — Veloraa provides expert oversight, gap-filling, and quality review on specific functions or workstreams rather than full-programme delivery.

Typical timeline: Ongoing / module basis
 
Scoped to one or more specific functions
Monthly expert review and advisory sessions
Gap-filling consultancy on weak subcategories

Why Veloraa

Playbook Knowledge. Implementation Discipline.

The Playbook contains hundreds of suggested actions. Knowing which to prioritise, in what sequence, requires deep framework expertise — not just familiarity with the document.

Subcategory-level NIST AI RMF expertise — we know the Playbook, not just the overview
Independent consulting — no vendor products or platforms to steer you toward
Cross-framework capability — NIST AI RMF, ISO 42001, EU AI Act, and ISO 27001 in one team

01

Playbook-Grounded Design

Every design decision is referenced to specific NIST AI RMF Playbook suggested actions — not generic risk management practice.

 

02

Sequenced Implementation

We build in the right order — GOVERN before MAP, MAP before MEASURE. The interdependencies of the four functions are built into our methodology.

03

Assessment-Ready Outputs

Every programme component is designed to withstand future independent assessment — including a Veloraa NIST AI RMF assessment if you choose one.

04

Capability Transfer

We build your team’s understanding of the framework alongside the programme — so you can operate, improve, and defend it independently.

"We had read the NIST AI RMF and understood the framework conceptually. What we could not do was turn it into an actual programme. Veloraa structured the implementation, sequenced the four functions in an order that made operational sense, and handed us something that runs."

Head of AI Risk, Healthcare Technology · Collaborative Build — Full Programme

What's included

Ready to Build a Risk Programme That Actually Operates?

Start with a discovery call. We will review your current AI risk posture, agree on programme scope, and give you a realistic picture of what the NIST AI RMF build involves for your organization.

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