Move AI Beyond Pilots — With a Governed Path to Production
Why AI Initiatives Fail to Reach Production
Many organizations successfully launch AI pilots. Far fewer manage to scale them. In regulated and enterprise environments, AI initiatives often stall because:
- There is no defined path from pilot to production
Proofs of value exist, but there is no controlled method to operationalize them. - Ownership and decision authority are unclear.Accountability is fragmented across business, IT, security, and data teams.
- Governance and controls are introduced too late.Security, compliance, data access, and audit requirements become blockers late in the lifecycle.
- Executive confidence is low.Leadership lacks clarity around risk, readiness, and long‑term operating impact.
This approach addresses these issues early, before time, budget, and trust are lost.
Core Capabilities
Prioritized AI Use Cases
A prioritized set of AI use cases, aligned to real business objectives and operating realities.
Readiness Gap Visibility
Clear visibility into readiness gaps, including governance, data, and operating model considerations.
Governed Progression Plan
A defined and practical progression plan that leadership can review, approve, and act on with confidence.
The Engagement Model
Identify High Value AI Opportunities
AI Discovery Cards Workshop
A structured, facilitated workshop that identifies and prioritizes AI opportunities that are realistic, valuable, and scalable within the organization’s context.
Establish Ownership and Accountability
AI Center of Excellence
Define ownership, decision rights, and how AI initiatives are governed, approved, and operated across the organization.
Build the Foundations for Scale
Governance, Controls, and Readiness
Establish governance structures, access controls, and operating guardrails required to scale AI securely and responsibly.
Transition to Production with Confidence
Controlled Production Pathway
Move selected AI use cases into a governed build and scale path, with clear accountability, milestones, and next steps.
Microsoft Aligned Support and Funding Pathways
Microsoft co‑funds eligible AI and platform initiatives across the lifecycle — from early AI discovery and readiness, through data and platform foundations, to production deployments — when customer eligibility and scope requirements are met.
Mobiz has successfully supported multiple clients across different industries in securing Microsoft co‑funding for AI‑related initiatives, spanning readiness engagements, AI platforms, and production environments, through programs such as AMM, ECIF, and other Microsoft‑aligned funding pathways, including ATO‑based engagements where applicable.
Eligibility and co‑funding are validated with Microsoft and confirmed during the readiness conversation.
Frequently Asked Questions
How to Get Started
If your organization has AI initiatives underway but lacks a clear path to governance, scale, or executive approval, the next step is a structured readiness conversation or the AI Discovery Cards Workshop.