Botanu offers an AI ROI intelligence platform that automatically attributes the cost of every AI workflow—including model, vendor, and infrastructure usage—to specific business outcomes such as revenue, cost savings, and productivity gains. By instrumenting applications with a lightweight SDK and native integrations to major AI providers, it provides real‑time, role‑specific dashboards that let finance, engineering, and executive teams quantify and monitor AI performance against P&L and strategic goals.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises are rapidly increasing AI investments, yet most finance and leadership teams cannot link AI spend to concrete business outcomes, leaving a gap in quantifying ROI and justifying budgets.
Solution
Botanu provides an AI ROI intelligence platform that automatically attributes the cost of every AI workflow—including model, vendor, and infrastructure usage—to specific business outcomes such as dollars returned, hours freed, revenue influenced, and cycle‑time reduced. By instrumenting applications with a lightweight SDK and native integrations to major AI providers, the platform tags each API call to a use case, owner, and goal, then continuously computes real‑time ROI metrics. These metrics are presented in persona‑specific dashboards for the board, CFO, CTO, and procurement leaders, offering a single, defensible number per use case that can be rolled up to P&L, EBITDA initiatives, and vendor spend. The solution enables finance to close books against AI outcomes, engineers to monitor cost per success, and executives to make data‑driven decisions on AI portfolio management.
Target Audience
Primary customers are enterprise finance and operations teams, AI engineering leaders, and C‑suite executives (CFO, CIO, CTO, Board) who need measurable AI ROI to manage budgets, vendor contracts, and strategic AI portfolios.
Features
- Lightweight SDK and native connectors for OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, Google Vertex, and other major AI vendors, requiring no invasive workflow changes
- Automatic tagging of every AI call to use case, owner, and business goal, stitching cost and outcome data without manual effort
- Real‑time ROI calculations (released FTE, dollars/year, capacity freed, hard savings) displayed in role‑specific dashboards for board, CFO, CTO, and procurement
- Portfolio AI Value Map that aggregates use‑case ROI to P&L, EBITDA initiatives, and overall AI spend, with on‑track/at‑risk status indicators
- Vendor spend and waste analysis showing contract value, actual spend, utilization, and renewal dates across the entire AI stack
- Cost guardrails and regression alerts that flag cost‑per‑outcome spikes caused by prompt changes or model updates
- SOC 2 Type II aligned security, TLS 1.2/AES‑256 encryption, Auth0 RBAC, tenant‑scoped access, and 99.5 % uptime SLA