Artificial Intelligence Consulting with an AI Value Office
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An AI Value Office turns AI into results by pairing value tracking with safe delivery. It runs intake, sets a value tree and KPIs, keeps one model registry with model cards, and lines up with NIST AI RMF, ISO/IEC 42001, and the EU AI Act timeline.
Want a standing AI Value Office with a value tree, registry, and weekly dashboard? Talk to a consultant
Why an AI Value Office in 2025
AI Value Office Playbook: 30-60-90
First 30 Days: Stand Up The Office
- Create a one page mandate. Scope intake, value tracking, and guardrails. Name the lead and stream owners.
- Publish a value tree with 5 to 7 KPIs per use case. Link to finance tracking.
- Stand up a lightweight registry with model cards and data lineage. Add human review steps for high impact flows.
Days 31 to 60: Prove Value
- Run three pilots with weekly check-ins. Track time to first value, benefit, and risk items.
- Write short playbooks for deployment, monitoring, access, and rollback. Map duties to NIST AI RMF and ISO 42001 controls.
- Start EU AI Act readiness steps for role and risk class where relevant.
Days 61 to 90: Scale And Govern
- Move pilots with clear benefit into the main backlog. Shift to monthly benefit checks.
- Publish a compact policy pack: intake, testing, release, monitoring, incident, and model card updates.
- Review the value tree and budget each month. Close items that miss targets and add new ones with stronger value.
Core Components
- Value Tree and KPIs: revenue, cost, risk, and customer metrics tied to each use case.
- Registry: models, data sets, owners, version, test results, model cards, and rollback plans.
- Controls: NIST AI RMF functions, ISO 42001 clauses, and EU AI Act role based duties.
- Delivery: small pods with weekly demos, shadow mode where needed, and a clear handoff to support.
Pillars, Moves, Metrics, and References
| Pillar | Typical Moves | Metric | Reference |
|---|---|---|---|
| Value Management | Intake, value tree, weekly benefit checks, close or scale calls | Benefit vs plan | PMI BRM |
| Risk and Trust | Map risks, set controls, track incidents, test for drift and bias | Risk items closed | NIST AI RMF |
| AI Management System | Policies, roles, training, continuous improvement | Audit readiness | ISO/IEC 42001 |
| EU AI Act Readiness | Role and risk class mapping, technical file, provider and deployer duties | Gap items closed | EU AI Act timeline |
| Model Cards | Purpose, data, tests, limits, and update log for each model | Cards up to date | Model Cards |
| Adoption | Onboarding, training, prompts, macros, change script | Active users, NPS | McKinsey 2025 |
Frequently Asked Questions
Who Leads The AI Value Office?
One lead with a clear mandate. Stream owners for value, risk, data, and delivery. A sponsor clears roadblocks.
What Is The Smallest Setup That Works?
Three to five people part time plus stream owners. Start with a simple tracker and a model registry. Grow with demand.
How Do We Pick Use Cases?
Score by value, time to first value, data readiness, and change impact. Pick two or three to start and ship in weeks, not quarters.
Related Reading
- AI Strategy Consulting for Measurable Business Outcomes
- AI Strategy Consulting Guide 2025
- AI Consulting Guide 2025
- AI Strategy to Value: Benefits of AI Business Consulting Services
- Artificial Intelligence Consulting and GenAI Enablement
- What Does an Artificial Intelligence Consultant Do
- Data and Technology Consulting to Modernize and Scale
- Cybersecurity and Data Privacy Services
Sources
- NIST. AI Risk Management Framework 1.0. https://www.nist.gov/itl/ai-risk-management-framework
- NIST. AI RMF 1.0 PDF. https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf
- ISO. ISO/IEC 42001 AI management systems. https://www.iso.org/standard/42001
- AWS Security Blog. ISO/IEC 42001 for AI governance. https://aws.amazon.com/blogs/security/ai-lifecycle-risk-management-iso-iec-420012023-for-ai-governance/
- EU AI Act. Implementation timeline. https://artificialintelligenceact.eu/implementation-timeline/
- McKinsey. The State of AI 2025. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
- PMI. Benefits Realization Management Practice Guide. https://www.pmi.org/standards/benefits-realization
- Google. Model Cards. https://modelcards.withgoogle.com/
About the Author
Aykut Cakir, Senior Partner and Chief Executive Officer, has a demonstrated history in negotiations, business planning, business development. He has served as a Finance Director for gases & energy, pharmaceuticals, retail, FMCG, and automotive industries. He has collaborated closely with client leadership to co-create a customized operating model tailored to the unique needs of each project segment in the region. Aykut conducted workshops focused on developing effective communication strategies to ensure team alignment with new operating models and organizational changes.
