AI Strategy Consulting for Measurable Business Outcomes
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Tie AI to a short list of high value use cases, stage the data and controls, and ship to production with a weekly value dashboard. Use human in the loop where outcomes matter. Keep governance light but clear so teams move fast without surprises.
Want a use case portfolio, a value model, and a 90 day plan? Talk to a consultant
Why This Matters in 2025
Most companies are past first experiments. The leaders pair AI with core workflows, instrument value, and set light guardrails so teams can deploy safely. Policy is moving, so programs that combine value and risk control have the edge.
30/60/90 AI Strategy Playbook
First 30 Days: Pick Use Cases and Build the Value Model
- Identify top use cases that align with revenue, cost, and risk goals. Shortlist three that can land in ninety days.
- Define value formulas and baselines. Examples include hours saved times loaded cost, deflection rate times cost per contact, lead conversion lift times margin.
- Stand up a weekly value dashboard tied to finance so impact is visible.
Days 31 to 60: Ready Data, Patterns, and Controls
- Stage data pipelines and retrieval patterns. Clarify data rights and retention.
- Add human in the loop where outcomes carry risk. Align with the NIST AI RMF so roles and checks are clear. reference
- Design prompt, evaluation, and fallback patterns. Log prompts, outputs, and decisions for audit.
Days 61 to 90: Ship, Measure, and Scale
- Put the first use cases in production with simple service level and quality thresholds.
- Close the loop on value with finance. Publish gains so teams see what works.
- Stand up MLOps and product runbooks so new use cases ride the same rails.
Governance and Policy Basics
- Document purpose, inputs, evaluation methods, and owners for each system.
- Map risk level and note EU AI Act duties by system class and date. reference
- Use a one page model card per system. Include known limits and when to hand off to a person.
Use Case Types and Sample Metrics
| Use Case | Metric | What To Track |
|---|---|---|
| Software Delivery Copilot | Hours Saved Per Dev Per Week | Accepted suggestions, review time, test pass rate, security findings closed |
| Contact Center Assistant | Deflection and First Contact Resolution | Containment rate, AHT, customer satisfaction, refund rate |
| Growth and Pricing | Lead Conversion Lift and Gross Margin | Conversion by segment, average selling price, discount leakage |
| Back Office Automation | Cycle Time and Error Rate | Throughput, rework, exceptions, compliance flags |
Frequently Asked Questions
What Outcomes Should an AI Strategy Target First?
Start with use cases that attach to revenue, cost, or risk and that can land in ninety days. Pick ones with clean data access and clear owners.
How Do We Measure Value From AI?
Use a baseline plus simple formulas. Examples include hours saved, deflected contacts, uplift times margin, or cash impact from inventory and receivables.
What Changes With Governance in 2025?
Adopt a light policy that follows the NIST AI RMF. Track EU AI Act dates and duties by system class. Add human in the loop where outcomes carry risk.
Want a 90 Day AI Plan? We can deliver a use case portfolio, a value model, and a production path with clear roles.
Related Reading
- How Management Consultants Implement Technology and Digital Transformation
- How Industry 4.0 Consultants Help With Digital Transformation
- Data Privacy and Cybersecurity Regulations Introduction
- Management Consultants Fortifying Cybersecurity and Data Privacy Compliance
- Cybersecurity and Data Privacy
- Risk Management Consultancy: Safeguarding Your Business
Sources
- Google. March 2024 Core Update and Spam Policies. https://developers.google.com/search/blog/2024/03/core-update-spam-policies
- Google. HowTo and FAQ Rich Results Changes. https://developers.google.com/search/blog/2023/08/howto-faq-changes
- McKinsey. The State of AI 2025. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
- McKinsey. The State of AI 2025 PDF. https://www.mckinsey.com/~/media/mckinsey/business%20functions/quantumblack/our%20insights/the%20state%20of%20ai/2025/the-state-of-ai-how-organizations-are-rewiring-to-capture-value_final.pdf
- Deloitte. State of Generative AI in the Enterprise 2025. https://www.deloitte.com/az/en/issues/generative-ai/state-of-generative-ai-in-enterprise.html
- BCG. From Potential to Profit: Closing the AI Impact Gap. https://www.bcg.com/publications/2025/closing-the-ai-impact-gap
- NIST. AI Risk Management Framework 1.0. https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf
- NIST. AI Risk Management Framework hub. https://www.nist.gov/itl/ai-risk-management-framework
- European Commission. AI Act Enters Into Force. https://commission.europa.eu/news-and-media/news/ai-act-enters-force-2024-08-01_en
- European Commission. Regulatory Framework for AI. https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
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.
