AI Use Case & ROI Portfolio Design
Stop guessing which AI projects to pursue. We help you identify, prioritize, and validate the opportunities that will actually deliver ROI — and build a roadmap to get there.
The Strategy Gap
AI Opportunities Are Everywhere. Good Ones Are Rare.
Every department has AI ideas. Vendors pitch AI solutions daily. Without a structured way to evaluate them, you end up funding projects that never deliver value.
What You Need
What Goes Wrong
Four Mistakes That Kill AI Portfolios
Starting with technology, not problems
→ AI projects that impress in demos but deliver no business value
Our approach: We start with business problems and work backward to AI solutions
Pursuing too many use cases at once
→ Scattered resources, nothing reaches production
Our approach: Ruthless prioritization focused on 2-3 high-impact opportunities
Vague ROI expectations
→ Projects that can't prove value, lose funding mid-stream
Our approach: Clear baselines, metrics, and realistic projections upfront
Ignoring data and skill dependencies
→ Use cases that seem feasible but can't actually be built
Our approach: Technical feasibility assessment built into prioritization
Our Framework
Four Components of Portfolio Design
We surface opportunities, check feasibility, model ROI, and build a roadmap you can execute against.
Use Case Discovery
Structured workshops to surface AI opportunities across all business functions — not just the obvious ones.
Key Outputs:
Prioritization Framework
Objective scoring across value, feasibility, risk, and strategic fit to find the best starting points.
Key Outputs:
ROI Modeling
Realistic business cases with cost estimates, benefit projections, and sensitivity analysis.
Key Outputs:
Roadmap Development
A sequenced implementation plan that balances quick wins with long-term capability building.
Key Outputs:
Typical Engagement
3-Day Intensive Workshop
We compress months of strategy work into focused sessions that produce real outputs. Here's a typical agenda.
Day 1
Discovery & Ideation
Day 2
Assessment & Prioritization
Day 3
Validation & Planning
Post-workshop, we spend 1-2 weeks refining deliverables and preparing final documentation.
This process maps to our 5-phase methodology → View full frameworkEngagement Scenarios
“From confused executives to confident AI roadmap in 4 weeks. The portfolio design workshop was brilliant.”
SVP Strategy
Enterprise software — Illustrative scenario
“ROI clarity in 60 days. We now have dashboards that prove value monthly. No more faith-based AI.”
Head of Analytics
Financial services — Illustrative scenario
What You Get
What You Walk Away With
AI Portfolio Strategy Document
Complete assessment of opportunities with prioritization rationale and recommendations.
Use Case Inventory & Scorecards
Profiles of each evaluated use case with feasibility and value scores.
ROI Models & Business Cases
Financial projections for top use cases with assumptions and sensitivity analysis.
Implementation Roadmap
Phased 6-12 month plan with milestones, dependencies, and resource requirements.
Executive Presentation
Board-ready deck summarizing findings and recommendations.
Typical Outcomes
Common Questions