AI Value Intelligence Platform
Uprovd scores every AI tool you pay for - keep or kill, with the money at stake and a confidence score you can trace to the source record.
Built for mid-market enterprises · Customer Support, Manufacturing, Information Technology · Confidence-scored, not consultant-estimated
5 pages · Research from McKinsey, Google Cloud, IBM, MIT, BCG, Deloitte, Freshworks, CloudZero
RESEARCH
88% of enterprises use AI. Only 22% have a defined AI strategy. Just 29% can confidently measure ROI. The gap between AI investment and AI measurement is now the single biggest reason pilots fail.
Our 2026 research whitepaper synthesizes findings from McKinsey, Google Cloud, IBM, MIT, BCG, Deloitte, Freshworks, and CloudZero into a five-step framework for measuring AI value. Download the full report, or read it inline below.
Read the WhitepaperDERIVED ANALYSES
Proof in the Global News
Independent reporting on why AI governance - measuring and governing AI spend - is now a board-level priority.
Featured · Story of the week
Uprovd Take A survey showing most firms overspend on AI while almost none can point to a measurable return is Uprovd's thesis in miniature: without governed spend and measured outcomes, AI becomes a bill nobody can defend.
Uprovd Take Avalara's data - nearly every finance leader under pressure to show agent ROI, half seeing only limited returns - captures the exact moment Uprovd is built for, when deployment has outrun both governance and proof.
Uprovd Take Domino's finding that AI production keeps climbing while returns sit flat for a second straight year is precisely the activity-versus-value gap Uprovd was built to close.
Uprovd Take Amazon measured activity, not value - and got more activity
Four steps. No complex integration. No consultant required.
Link your AI tools via REST API or CSV in under 30 minutes. Works with any tool that has usage logs- Copilot, Zendesk AI, ChatGPT, custom models.
We lock your pre-AI performance as a baseline- AHT, scrap rate, ticket cost, downtime. Every ROI calculation uses your own cost inputs, not industry benchmarks.
A confidence-scored ROI report- every formula visible, every number auditable. CFOs see exactly how reliable each figure is.
Surface which AI tools are underperforming and exactly what to do. Rule-based recommendations flag expansion opportunities and configuration issues automatically.
Connect any AI tool via API or CSV. Every event, cost, and action captured automatically in under 30 minutes.
Pre-AI performance locked as your reference point. Every improvement measured against it. Fully auditable trail.
Industry-specific formulas using your own cost inputs. Click any metric to see the full calculation. No black boxes.
Every ROI calculation carries an honest 0–1 confidence score. CFOs see exactly how reliable each number is before presenting to the board.
Rule-based engine flags underperforming AI tools, expansion opportunities, and configuration issues automatically.
One-click PDF executive summary. Net ROI, payback period, month-by-month trend. No analyst or consultant required.
Want a personal walkthrough?
Try the demo to see the platform on synthetic data tailored to your industry.
Know exactly how much your support AI saves - per agent, per ticket, per month.
Quantify AI impact on scrap, downtime, and maintenance costs. In dollars, not percentages.
Prove developer productivity gains, code quality improvements, and delivery acceleration from AI coding tools.
Our Founding Customers join 2026. Real names, real numbers, real proof.
Sources: Google Cloud AI ROI Study 2025 · CloudZero State of AI Costs 2025 · MIT Sloan 2025. Read the whitepaper →
The road ahead
Every verdict you act on builds a live map of what AI actually does in your business - and that map compounds into something much bigger.
Every AI tool scored keep or kill - the money at stake, traced to the source record, with an honest confidence score at every level.
Budgets, renewal workflows, and per-team accountability. Your AI spend gets managed in Uprovd - not just measured.
Verdicts execute: overspend capped, dead tools retired, work routed to the models that pay. An operating system for enterprise AI.
Keep what pays. Kill what doesn't. Everything else follows from that.
Start with the verdict →30-minute live demo. Synthetic data tailored to your industry.
