NUUN AI
AI SERVICE

AI STRATEGY — THE ROADMAP THAT SHIPS

Quick Answer: NUUN AI delivers enterprise AI strategy and roadmap engagements ending in prioritized use cases, ROI and risk assessments, governance structure, and an 18-month execution sequence. Strategies that live in decks don't ship models; ours are built to graduate to production.

WHAT WE DELIVER

  • Use-case inventory and prioritization. Ranked by value, feasibility, and risk.
  • ROI and risk assessment per use case. Explicit, documented, defensible.
  • Governance framework. Committee structure, approval flow, and risk taxonomy.
  • Platform and architecture principles. Model, orchestration, vector, and evaluation stack recommendations.
  • 18-month execution roadmap. Sequenced first-wave builds with ownership and KPIs.
  • Enablement strategy. Team, skills, partners, and training to execute.

HOW WE DO IT

  1. Inventory use cases broadly. Across functions, touchpoints, and decision layers.
  2. Score for value × feasibility × risk. Three-axis scoring, not one.
  3. Sequence the roadmap. Fast wins, foundational builds, long-horizon bets.
  4. Align leadership. Strategy without executive alignment stalls at budget time.
  5. Hand over the run-book. With governance, platform, and first-wave direction.

WHEN IT FITS

  • Board- or executive-mandated AI strategy.
  • Fragmented AI work across business units needing unification.
  • Pre-platform investment — before committing $M+ to AI tooling.
  • Regulated industries requiring governance-first AI approaches.

SELECTED WORK

  • Financial services client — AI strategy → [X] prioritized use cases, [Y] shipped to production within 12 months. Read case →
  • Healthcare client — AI roadmap + governance → clinical pilot graduated with MLR approval. Read case →

RELATED READING

SOURCES & FURTHER READING

Frequently asked.

How is this different from a generic "AI strategy" consultancy engagement?
We build what we recommend. NUUN AI strategy engagements transition into execution through the same team — our research, engineering, data, and MLR-aware practices. Strategy from people who can't execute is guesswork.
How long does strategy work take?
10–14 weeks for an enterprise AI strategy and roadmap. Faster with existing AI work to build on; longer for greenfield organizations.
Do you recommend specific foundation models?
Model- and cloud-agnostic. Recommendations per use case — sometimes Claude, sometimes GPT, sometimes Gemini, sometimes open-source, sometimes specialized. Vendor neutrality matters because model leadership changes.
What about responsible AI?
NIST AI RMF and ISO/IEC 42001 are baseline frameworks. Sector-specific risk frameworks overlay (FDA for clinical, FINRA for financial services, HIPAA for health). Responsible AI is built into strategy, not added later.
Can strategy work precede or follow a specific AI build?
Both patterns work. Strategy-first organizations build foundations cleanly. Build-first organizations accumulate learning that informs stronger strategies. We adapt to sequence.

Book An AI Strategy Consult

Bring the board mandate or the AI confusion. We'll bring the roadmap that ships.