AI Value Discovery & Portfolio
Stop funding demo-ware. We help you prioritize AI/GenAI initiatives with explicit value hypotheses, feasibility and risk gates, and clear stop rules - so investment concentrates on what can scale in production.
- Scale criteria and kill criteria for each initiative
- Links value to architecture feasibility and control requirements
- Decision-ready roadmap for regulated environments
The Challenge
AI portfolios often become a long list of PoCs: unclear value hypotheses, weak feasibility checks, and no decision discipline to stop what won’t scale.
The failure mode is consistent: spend grows, delivery fragments, and governance/security become late surprises when systems approach production.
Our Approach
We run a structured discovery and portfolio pass: define outcomes and constraints, score initiatives by feasibility, risk, and economics, and establish clear gates and stop rules.
You get a focused plan with ownership, sequencing, and the minimum architecture and governance prerequisites to ship safely.
Key Outcomes
Core Deliverables
Portfolio Map and Prioritization
A structured portfolio view scored by value, feasibility, risk, and economics - built for executive decisions and investment governance.
- Scoring model and repeatable decision criteria
- Scale criteria and stop rules by initiative class
Insurance Leader
The Context
Converted a scattered GenAI backlog into a gated portfolio with clear stop rules and ownership.
The Outcome
Result: Focused investment on high-impact initiatives with credible production paths and bounded risk.