Data readiness
Lineage, access, and quality for the use cases you actually plan to scale.
Executive Brief
AI Readiness & Technical Debt Brief
How rationalization creates the clean, governable foundation that AI initiatives quietly require, written for leaders sponsoring or scaling AI work.
Overview
AI scales on the foundation underneath it.
Most AI ambitions stall on the same problems, messy data, fragmented applications, and infrastructure that wasn't built for model lifecycle costs. This brief explains how technical debt limits AI at scale, and how rationalization sets the foundation that early pilots usually borrow.
What's inside
From scattered pilots to a governable platform.
Application & API landscape
Where AI plugs in safely, and where it shouldn't, across the application portfolio.
Technical debt review
Platform constraints that will limit AI before the spend curve gets out of hand.
Governance & risk
Controls and metrics so AI scales on a foundation you can defend internally and externally.
How to use it
Sequence the foundation work alongside the pilots.
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01
Assess
Score data, apps, and infrastructure on AI readiness across priority domains.
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02
Shortlist
Match real use cases to where the foundation can responsibly support them today.
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03
Foundation
Close the gaps that limit scale, data, integration, and platform constraints.
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04
Govern
Stand up controls and metrics so AI scales on a foundation you can defend.
Want this applied to your environment?
A short conversation is the fastest way to see how this resource maps to the rationalization work in front of your team.