Most of our larger engagements begin with one of these four assessments. Each one has a clear scope, a fixed price, a short timeline, and a tangible deliverable you can act on immediately. They are entry points, not commitments. The output reveals what comes next, but what you do with it is your call.
Product Design Sprint
Turn a business idea, strategic hypothesis, or known user problem into a validated product concept with user research, prototyping, technical feasibility, and a roadmap your team can build from.
- Validated product direction
- Prototype or concept artifact
- Technical feasibility assessment
- Architecture and stack recommendation
- Development roadmap
Data Readiness Assessment
Diagnose your data architecture, integration health, governance maturity, and AI readiness with a prioritized modernization roadmap.
- Scored data readiness assessment
- Gap analysis
- Integration and governance findings
- Prioritized modernization roadmap
- AI readiness notes
AI Opportunity Assessment
Identify 3-5 high-impact AI use cases with feasibility scoring, ROI analysis, and a prioritized implementation roadmap grounded in your actual data and workflows.
- AI use-case inventory
- Feasibility scoring
- ROI and effort analysis
- Risk and dependency notes
- Prioritized implementation roadmap
Technical Due Diligence
Evaluate technology stack, engineering team, architecture risk, technical debt, and security posture in investment committee language, on deal timelines.
- Risk-scored technology report
- Architecture and codebase findings
- Team and process assessment
- Security and scalability notes
- Investment committee summary