AI Strategy & Implementation

AI Strategy & Implementation – From Opportunity to Revenue in 90 Days

Stop getting stuck between AI demos and business results.

In 90 days, we'll take you from "AI might help us" to deployed solutions driving measurable revenue. Four connected phases that turn AI possibilities into competitive advantages your team can trust and scale.

The Process

Phase 1: AI Opportunity Assessment (1-2 weeks) Get paid to discover your highest-impact AI opportunities

• Business Process Audit – Map current workflows and identify AI-ready pain points
• Quick Wins Identification – Spot 30-60 day implementation opportunities
• Strategic Initiative Ranking – Prioritize initiatives by ROI potential and complexity
• Technology Stack Review – Assess current systems and integration requirements
• Opportunity Report & Roadmap – Clear priorities with projected business impact

Phase 2: AI Strategy Sprint (1-2 weeks) Deep strategic planning for your priority initiative

• Complete business case development
• Technical architecture design
• Team and vendor requirements
• Pilot project specification
• Executive-ready implementation plan

Phase 3: Delivery & Integration (4-6 weeks) Ship your AI solution to production

• Model deployment and integration
• Cross-functional coordination
• Quality assurance and testing
• Production release with monitoring
• User training and change management

Phase 4: Operations & Optimization (Ongoing)Ensure long-term success and continuous improvement

• Performance Monitoring – Track KPIs and model accuracy
• Optimization Cycles – Quarterly reviews and improvements
• Expansion Planning – Identify next AI opportunities
• Team Enablement – Build internal AI capabilities
• Technology Evolution – Keep your AI stack current

FAQ

Can we start with just one phase? Absolutely. Many clients begin with the Assessment to understand their options, then decide how to proceed.

What if we already know what we want to build? We can jump directly to Strategy Sprint or Delivery phases, depending on how defined your requirements are.

Do you work with our existing vendors and team? Yes. I coordinate with your current data science teams, technology vendors, and internal stakeholders throughout the process.

How much time does this require from our team? Approximately 5-8 hours per week from key stakeholders during active phases. I handle the heavy lifting.

What if the AI solution doesn't work as expected? Each phase includes checkpoints and risk assessments. We course-correct early rather than push forward with problematic approaches.

Pricing Guidance

Full 4-Phase Engagement: $50,000–$150,000 depending on solution complexity, number of integrations, and organizational scope.

Individual Phases:

• Assessment: $5,000–$10,000
• Strategy Sprint: $7,500–$12,000
• Delivery & Integration: $15,000–$25,000
• Operations (Ongoing): $5,000–$15,000/month

Investment varies based on technical complexity, stakeholder count, and timeline requirements.