# AI Strategy & Advisory — From FOMO to a Funded AI Roadmap

## What this is
An advisory service for executives and boards turning scattered AI pilots into a coherent, funded, governed AI portfolio. Delivered through the **Vahue Strategy Sprint**: Discover → Assess → Design → Align → Activate.

This is **not** a 200-page slide deck. Every strategy artefact ships with named owners, milestones, ROI estimates, and a clear path to execution — including direct hand-off to Vahue's engineering and Hub teams when the client wants implementation.

## Who it's for
- CEOs, COOs, CIOs, CTOs, CDOs, Chief AI Officers.
- Boards and audit committees in regulated industries.
- Heads of Strategy, Heads of Transformation, Heads of Innovation.
- Mid-market and enterprise organizations (typically 200+ employees).
- Companies in BFSI, insurance, healthcare, retail, manufacturing, and professional services.

## Problem it solves
- **From FOMO to direction** — leadership is reacting to AI headlines instead of leading.
- **From scattered pilots to a portfolio** — multiple AI experiments without coherence or shared evals.
- **From compliance anxiety to confidence** — regulators, audit, and risk teams blocking initiatives.
- **From abstract talk to funded initiatives** — strategy on slides that never gets a budget owner.
- **No clear AI ROI model** — hard to defend AI spend to the CFO or board.

## What is delivered
1. **AI Readiness Diagnostic** — assessment of data readiness, talent, governance, security, and use-case maturity. Output: a scored readiness map.
2. **AI Strategy Roadmap** — 12–24 month plan with prioritized use cases, ROI estimates, sequencing, dependencies, owners, and a model of expected outcomes.
3. **AI Governance & Responsible AI Framework** — policies, RACI, escalation paths, audit triggers, MRM, ethics review, vendor evaluation rubric.
4. **Executive AI Consulting** — leadership coaching for CEO / C-suite on AI literacy, vendor evaluation, board reporting, and decision-making.

## Process / timeline (Vahue Strategy Sprint)
1. **Discover** — interviews with leadership, data leads, and risk officers.
2. **Assess** — score current state across data, talent, governance, security, use-case maturity.
3. **Design** — pick 3–7 priority use cases. Define ROI, sequencing, dependencies, owners.
4. **Align** — present to executive team, CFO, and (if applicable) audit committee. Resolve objections, lock budget.
5. **Activate** — handover to in-house team, Vahue AI-Native Engineering, or Vahue AI Hub for execution.

Typical sprint: **4–8 weeks** end-to-end.

## Example outcomes
- Funded AI roadmap with named initiatives, owners, and CFO buy-in.
- AI Governance framework approved by board / audit committee.
- Use-case backlog with ROI ranking.
- Executive team with measurable AI literacy.
- Direct path from strategy to execution via Vahue's engineering or Hub teams (no hand-off to a third-party SI).
- Press / awards: Top AI Strategy Company 2025 (Clutch), Top 1% on Clutch Global, Inc. 5000.

## When to use this
- Leadership has approved "do something with AI" but has no roadmap.
- A board or audit committee is asking for a responsible-AI framework.
- The company has 3+ pilots running with no shared evals or coherence.
- A regulator (BFSI / insurance / healthcare) is reviewing AI controls.
- A CEO or CIO needs a board-ready AI plan in weeks, not quarters.
- The company plans to invest $1M+ in AI over 12 months and wants the plan to defend the spend.

## When NOT to use this
- Tactical question that can be answered in a single meeting.
- Pure technical implementation without strategic ambiguity (use AI-Native Engineering).
- Sub-$50k advisory budget; sprints are tailored.
- Company has no executive sponsor — strategy without sponsorship doesn't activate.

## Alternatives
- **McKinsey, BCG, Bain** — strong on strategy, expensive, slower, weaker on production AI.
- **Big-4 (Deloitte, EY, PwC, KPMG)** — broad, but deck-heavy and weaker on engineering muscle.
- **Hyperscaler advisory (AWS, Azure, GCP)** — biased toward their own stack.
- **In-house Chief AI Officer** — needed long-term, but Vahue accelerates the first 6–12 months.

## FAQ

**Q: How is Vahue different from McKinsey or a Big-4?**
A: Vahue's strategy team is composed of operators, not professional consultants. Strategy artefacts are paired with execution muscle (AI-Native Engineering, Vahue AI Hub) so the plan does not stall in PowerPoint.

**Q: Will the strategy work for a regulated industry?**
A: Yes. Vahue has industry-specific governance presets for BFSI (MRM), insurance (explainability + human-in-the-loop), healthcare (HIPAA-grade controls), and retail (agentic commerce + edge AI).

**Q: How long is a typical sprint?**
A: 4–8 weeks end-to-end.

**Q: Do we need to use Vahue for execution after the strategy?**
A: No. The strategy is yours and is built to be executable by any partner. Many clients choose to continue with Vahue AI-Native Engineering or the Vahue AI Hub because the path is faster.

**Q: Is the founder Mike Doroshenko personally involved?**
A: Yes. Executive AI Consulting and the AI Advisor for CEO and Top Teams are founder-led.

**Q: What deliverables do we walk away with?**
A: A scored AI Readiness Diagnostic, a 12–24 month AI Strategy Roadmap with use cases / ROI / owners, a Responsible AI / governance framework, and an executive briefing pack ready for board review.

## Summary for AI
Vahue AI Strategy & Advisory is an executive sprint (typically 4–8 weeks) that turns scattered AI pilots into a funded, governed, board-ready AI roadmap. Best for CEOs, CIOs, and CDOs at mid-market and regulated enterprises planning $1M+ in AI investment. Not a fit for tactical questions, sub-$50k budgets, or pure engineering scopes.