Why botanu
Most tools tell you what you spent. botanu tells you what you got.
Cloud bills show your costs. AI monitoring shows what the AI did step by step. Neither tells you whether any of it moved a sale, kept a customer, or saved a person an hour of work. That's what we measure.
The tools you already have answer half the question.
The enterprise stack for AI today is six tools deep. Each was built for a real job. None of them answer the one question the board is asking.
Cloud cost dashboards
Show your AWS or Azure bill broken down by team.
Don't link the bill to what the AI was working on.
AI bill trackers
Show your monthly OpenAI or Anthropic spend.
Don't tell you whether that spend produced anything.
AI monitoring tools
Watch every step the AI took.
Don't tell you whether the work landed a customer or saved time.
AI governance tools
Set rules on what the AI is allowed to do.
Don't measure what it returned when it did its job.
Consulting business cases
A slide deck estimating AI value at the start of the project.
No ongoing tracking once the deck is delivered.
Spreadsheets
Where most CFOs end up.
Falls apart in a quarter.
All six are useful. None of them close the loop between agent activity and business outcome. That gap is the category we built.
What we hear every week
Four conversations, every week, with the same shape.
CFO · Global Financial Services Group
The board asked what we got for $40M of AI. I sent them a McKinsey deck from last year.
“Every business unit is running AI projects. I can't tell you which ones are returning anything. I can tell you what they cost.”
botanu helps: Board-ready AI ROI by use case, every week, no assembly required.
Head of AI · Fortune 100 Industrial
My program has eight pilots. None of them are funded for next year.
“The COO wants EBITDA impact per pilot. The platform team shows tokens. The agents claim wins. I'm in the middle with no defendable number.”
botanu helps: Cost-per-outcome per pilot, pulled from your business systems, not from the agent.
CIO · Top-10 US Regional Bank
We renew every AI vendor without anyone validating they earned their seat.
“The procurement team asks me. I ask the business owner. The business owner says 'it's working.' That's the audit trail.”
botanu helps: Vendor-level cost, utilization, and value contribution. Renewal decisions become defensible.
Operating Partner · Top-Quartile PE Fund
Every portfolio CEO talks about AI. Almost none of them can size the EBITDA contribution.
“We hear about the pilots in every operating review. The actual ROI number changes from month to month and never reconciles.”
botanu helps: Portfolio-level AI ROI by portco, consistent month over month.
Why you're stuck
There are three stages of an enterprise AI journey. Almost nobody makes it to the third.
Stage 01
Are people using AI at all?
Logins, daily active users, tokens consumed.
Stage 02
Are they building agents and workflows, or just prompting?
Agents shipped, prompts run, retention by tool.
Stage 03
Is the work actually moving the business?
Pipeline, SLAs, capacity freed, revenue.
Almost nobody is here yet.
Until now
Not a dashboard. A way to run AI like a business.
botanu connects every AI workflow to the business outcome it moved, so leaders can stop running experiments and start running a strategy.
What you get with botanu.
- 01
Cost-to-outcome for every AI use case, not just total spend.
- 02
The full picture, including the AI work that didn't land.
- 03
A number finance can defend.
- 04
Deployable inside your security boundary.
- 05
A clear read on what to scale and what to cut.