The AI ROI Intelligence Platform for the Enterprise
Know the ROI of every AI investment.
botanu measures what every AI workflow actually returns. Revenue lifted, capacity freed, hard dollars saved. Against what it actually cost. One number your CFO can defend and your board can act on.
Built by operators from




AI investment is scaling faster than the ability to prove its return.
Enterprise AI spend by 2028. Investment is accelerating; the pressure to prove return is accelerating with it.
Of CFOs cannot quantify AI ROI. Finance is asking every executive to close the attribution gap.
Of firms connect AI cost to business outcomes. Spend is tracked. Outcomes are tracked. The two rarely meet.
IDC, McKinsey 2025
One platform that shows what AI is actually returning. Dollars returned, hours freed, revenue influenced. Attributed to the use case, the owner, and the investment behind it.
Value. Every AI workflow is measured against the business goal it was meant to move: dollars returned, hours freed, revenue influenced, cycle-time reduced.
Return. Each outcome is held against the full investment that produced it. Across every model, vendor, and service that touched the workflow. The number is real, not an estimate.
Portfolio. Use cases roll up to one P&L by EBITDA initiative and business owner, with on-track / at-risk / off-track status visible to finance and leadership.
The same portfolio. A view for every leader at the table.
The Board, the CFO, the Head of Engineering, and the CIO each see the AI portfolio in the numbers they actually use to run their function.

The Portfolio AI Value Map · Example data only
Example data only · Read-only environment
Every question the board is asking, answered on one page.
Portfolio AI Value Map
Every use case on one P&L: released FTE, released $/yr, freed capacity, AI spend under management. By EBITDA initiative, by business owner.
AI P&L by use case
Revenue lifted, hours freed, and hard dollars saved attributed against AI cost per workflow. A real ROI multiple per use case.
Vendor Spend & Waste
Total contract value, actual spend, and waste per vendor. Utilization and renewal dates across every AI vendor in your stack.
Security and infrastructure.
SOC 2 Type II aligned
Controls across security, availability, and confidentiality. Encryption in transit (TLS 1.2) and at rest (AES-256).
Auth0 RBAC and tenant-scoped access
Role-based access via Auth0. Data access scoped per tenant. Scoped API tokens validated per tenant.
99.5% uptime SLA, idempotent ingestion
Monthly uptime SLA on botanu Cloud. Idempotent ingestion with deduplication preserves data integrity at scale.
Configurable retention and transparent sub-processors
Customer-configurable retention (30 or 60 days). Sub-processors: AWS, Auth0, Stripe. 72-hour breach notification.
“We are spending hundreds of millions on AI and I cannot tell the board what any of it is actually returning. Not by use case, not by owner, not in dollars. That is the gap nobody in this market has closed.
CIO perspective · Fortune 500
Stop estimating AI ROI. Start reporting it.
Give your board the number they keep asking for. Per use case, per vendor, per week.