Solution Capability · 1.3
Turn AI ambition into a sequenced plan that connects business outcomes, platforms, data, governance, adoption, and production operations.
A list of AI ideas is not a strategy. Organizations need choices about where AI fits, what capabilities must be built, how initiatives depend on one another, who owns the program, and how investment will be governed.
Executive teams
CIO and CTO organizations
Digital, data and AI leaders
Enterprise architects
Portfolio and transformation leaders
Define strategic outcomes and decision principles.
Assess current capabilities, platforms, data, governance, skills, and delivery capacity.
Create a prioritized portfolio of use cases and enabling work.
Define target architecture and operating model.
Sequence pilots, platform work, adoption, governance, and AgentOps.
Set measures, ownership, dependencies, and review cadence.
Enterprise AI portfolio planning.
Microsoft-led AI strategy.
Agent and automation roadmap.
Data and knowledge enablement roadmap.
Responsible AI and governance roadmap.
Pilot-to-production and Managed AgentOps roadmap.
Microsoft ecosystem and Salesforce.
OpenAI and Claude model options.
Ignatiuz products and accelerators.
Security & Governance
The roadmap makes governance a workstream with named decisions, evidence, ownership, review gates, human oversight, and production controls.
A readiness workshop is the fastest way to find out if this is the right starting point.
