The IT Finance
system of intelligence
Embedded financial context in every IT and AI investment decision, at the moment it happens. Human or agent
The technology budget exploded. The tools didn't keep up.
It's now the fastest-growing line in your P&L. Cloud, SaaS, AI: hundreds of decisions a day, made in seconds, billed a month later. Each one a financial commitment. Most never tie back to outcomes.
When leadership asks what's returning value, you're defending the spend on instinct. The variance lands every quarter. The strategy is yours to defend.
And the gap keeps widening.
AI just made IT investment a board-level question.
Decisions now happen in seconds, across hundreds of teams. And increasingly, across agents acting on their own. Without business-aligned financial context.
Only 1 in 4 investments returns business value. The board is asking, “What's the ROI?”
Inference cost scales with every token
Every interaction, every user, every model swap, every replay of an agent's context. The unit of spend is now the keystroke.
Agents make their own decisions
Models, providers, and pricing tiers selected autonomously. A 10x cost spread between the choices they make. At a speed the tools built for the cloud era can't keep up with.
Every AI vendor bills on its own logic
The resolution: tokens by model, maybe by API key. No customer, no feature, no request. Agent workflows collapse into token counts. The bill arrives with no path back to the business.
Fix the foundation. Everything else follows.
The problem is the data underneath. Fragmented. Siloed. Lacking business context. By the time it reaches anyone, the decision has already been made.
The tools sitting on top weren't built for this world either. Spreadsheets and dashboards assumed humans were the only decision-makers and that decisions were centralized. Neither is true anymore. Decisions are made in seconds, not weeks. Across hundreds of teams, not one.
Same model. Wrong era.
StitcherAI rebuilds that foundation. Every source of IT spend, normalized to FOCUS. Modeled to your business. Delivered continuously to the humans and agents making decisions, in the workflows they already use.
How it works.
The semantic engine.
Every source of IT spend, normalized and modeled to your business, kept current as your data changes. One trusted cost model the entire organization can act on.
- 01
Connect
Every cost and business data source. Cloud, SaaS, AI, vendor PDFs, internal datasets. All normalized to FOCUS.
01Connect
Every cost and business data source. Cloud, SaaS, AI, vendor PDFs, internal datasets. All normalized to FOCUS.
- 02
Model
Semantic modeling maps cost to products, teams, customer segments, and revenue streams. Allocations adapt as the business evolves.
02Model
Semantic modeling maps cost to products, teams, customer segments, and revenue streams. Allocations adapt as the business evolves.
- 03
Build
Chargebacks, unit economics, forecasts, and controls. Each stakeholder can create them in natural language.
03Build
Chargebacks, unit economics, forecasts, and controls. Each stakeholder can create them in natural language.
- 04
Engage
Cost intelligence flows into the data lakes, BI tools, Slack, Jira, and ERPs you already run.
04Engage
Cost intelligence flows into the data lakes, BI tools, Slack, Jira, and ERPs you already run.
The reasoning engine.
Always-on agents that run on the foundation and embed financial context where decisions actually happen. In Claude, Codex, Cursor, your copilots, and the workflows your stakeholders already use.
Modeling Agent
Keeps the semantic model current as your business evolves.
IT Finance Agent
Runs the operational work, end-to-end reconciliation, chargebacks, variance, and forecasting.
Planning Agent
Forecasts IT spend against real demand drivers, launches, headcount, architecture, and consumption.
Sub-Agents
Hundreds, each with deep expertise on specific vendors, datasets, use cases, and the FOCUS standard.
Every stakeholder, every agent, every decision powered
by the cost model your Semantic Engine built.
Built by industry experts.
I spent half a decade building IT Finance tooling. Then I ran a global IT Finance practice at Citi using the same tools.
At Fortune 20 scale, the failure was clear. The data was scattered and lacked context. It never arrived where decisions were made, whether by humans or agents.
That's why I co-founded FOCUS, the open industry standard for cost data. And then built StitcherAI. Not a better dashboard. A different model entirely.
Udam Dewaraja
Founder & CEO, StitcherAI · Co-founder, FinOps FOCUS