Finance doesn't need more reports.
It needs more time to think.
Predict. Plan. Perform. One decision layer across finance: FP&A, Commercial, Corporate, Treasury, Operations, Accounting and Reporting.
Finance creates value through decisions, but the week goes on assembling evidence.
Finance sees the whole business. It is the only function that sees every contract, every cost centre, every customer and every commitment in one place. It usually knows which project will slip and where the margin is going. Most of that judgement is spent assembling the evidence that would let it say so out loud.
Buy one planning platform and you acquire one more spreadsheet per analyst, because the spreadsheet is the last place people are still allowed to think. That is not indiscipline and it is not a training problem. It is a verdict on the tools. We do not ask anyone to leave the place they think. Prediction, continuous rules, scenario tracking and a queryable graph sit under the work they already do, so an analyst can test their own idea, prove it, and take it to the business the same day.
Finance can finally focus on decisions, not administration.
Most AI investment makes existing processes faster, not decisions better.
Held in excess working capital across the largest listed US companies, eleven percent of their combined revenue, with 1.4 trillion euros more in Europe. It is not locked away by carelessness. It is locked away because a cycle can only be described once it has closed.
Eighty four percent of finance organisations have started with AI. Seven percent report high or very high impact, because forty five percent of the spend is aimed at doing the existing work faster rather than at making the decision better. Speed was never the constraint.
Fifty seven percent of organisations that own a planning platform bypass it entirely for some processes, eighty two percent prepare the data in spreadsheets first and seventy one percent use spreadsheets alongside it. Excel wins because Excel is where thinking is allowed.
- The Hackett Group, US Working Capital Survey, Aug 2025 (top 1,000 US listed non-financial companies)
- The Hackett Group, European Working Capital Survey, Nov 2025 (1,000 largest European non-financial companies)
- Gartner, finance AI survey, fielded Jun 2025, published Jun 2026 (n=183 CFOs and senior finance leaders)
- Evanta and Gartner, C-level Leadership Perspective Survey, Jul 2026 (n=115 CFOs)
- Gartner, finance AI investment survey, fielded Mar 2026, published Jul 2026 (n=204 finance leaders)
- Association for Financial Professionals, FP&A Benchmarking Survey, May 2025
Every finance problem is really a decision problem
FP&A, Treasury, Commercial and Reporting may look different, but they rely on the same underlying intelligence. Build the intelligence once and reuse it everywhere. Open a domain to see what runs inside it.
Learn once, improve everywhere
Finance keeps solving the same problems repeatedly. Different teams, different tools, but the same problems underneath. Every capability built in one finance domain makes the next domain smarter, faster and easier to deliver.
They compete to describe what happened. We compete to change it.
Everyone is competing to hold the data. Almost nobody is competing to change the decision. Finance technology competes to record the transaction, process the workflow and report the period, and it stops there.
Prophesee competes further up: predict the outcome, detect the deviation, explain the cause, intervene before it lands and prove it worked. Automate the plumbing. Elevate the thinking.
Everyone is competing to hold the data. Almost nobody is competing to change the decision.
Prophesee Finance Suite
Four engines under every domain
Foresight predicts what is about to go wrong, early enough to act on it. Pulse watches everything continuously and raises only the exceptions that matter. Horizon tests an intervention against scenarios before you commit to it. Nexus answers plain language questions across every system, then drafts the action.
Eight weeks to a value you can see
Prove value before scaling. The fastest way to understand the future of finance is to run it on your own data. Pick the module that hurts most, agree the metric and the baseline in week one, and measure the result against the baseline we agreed.
Design
- Select the decisions that best validate the case
- Capture today's baseline to measure against
- Agree dates, owners and expected outcomes
Develop
- Connect the systems of record behind the decisions
- Configure the suite applications on your data
- Capture the rules that turn output into action
Deliver
- Validate results with end users against the baseline
- Prove the agreed metrics with the evidence attached
- Hand over the running system and plan the next modules
Proven, not promised
Missed targets cut from 20%+ to under 3%, with real-time recalculation across revenue, margin and orders.
Choose one or more modules and start the evaluation
Pick the module where the pain is sharpest. Agree one baseline, signed off in week one. See the result, measured on your data, not a demo.