Your IT Finance stack was built for a world before AI agents.
The practice you're trying to build rests on one thing. This series is about getting it right, one layer at a time.
Why most enterprises can't prove AI ROI: the financial data needed to connect AI spend to business outcomes simply isn't there yet.
Most organizations run on a cost model that's incomplete and disconnected from the business. StitcherAI owns the cost model — every source in one schema, modeled to your organization, delivered into the workflows where technology-spend decisions happen. Two engines, one cost model.
Cloud taught a generation of finance teams to govern variable spend. Agents are about to test whether that discipline holds at machine speed. The answer depends on something most companies skipped: the foundation underneath.
Three preconditions for sharing accountability across finance, IT, and the business so AI spend stops falling through the cracks.
Forrester's diagnosis of IT Finance is correct. The relaunch will not stick on top of the same architecture that produced the diagnosis. Two architectural realities — and three structural moves — define what the reset actually requires.
Two capabilities that don't exist in today's platforms: a semantic layer that unifies all cost and business data, and a reasoning layer that embeds financial context into the workflows where decisions are actually made.
Your IT Finance infrastructure was designed for an era when humans made decisions at human speed. That era is over, and the 30% waste line proves it.
Why financial infrastructure, not models or talent, is the missing layer behind enterprise AI adoption.
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