Solution Capability · 1.2
Align leaders on the right AI opportunities, readiness gaps, governance decisions, and a focused next step.
AI programs stall when stakeholders have different goals, use cases are not prioritized, data constraints are discovered late, and governance is treated as a separate activity.
Executive sponsors
CIO, CTO, data and AI leaders
Operations and business leaders
Security, legal, privacy and compliance teams
Application and platform owners
Prepare around the business context and candidate use cases.
Facilitate working sessions across business, technology, data, and risk stakeholders.
Assess value, feasibility, data, integration, adoption, governance, and operational ownership.
Prioritize use cases and define success measures.
Recommend a pilot, roadmap, and decisions needed before build.
Executive alignment on AI goals.
Use-case prioritization.
Data and knowledge readiness review.
Governance and Human in the Lead decisions.
Pilot scope and success measures.
Investment and roadmap discussion.
Microsoft, Salesforce, and enterprise applications.
OpenAI, Claude, and IGNA.
Data platforms and APIs.
Security & Governance
The workshop includes data sensitivity, access, human review, unacceptable use, auditability, risk ownership, and approval requirements.
A readiness workshop is the fastest way to find out if this is the right starting point.
