Finance Suite

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.

$1.7tnThe value is still trapped
7%The tools have not unlocked it
71%of planning-platform owners still work in spreadsheets beside it
The opportunity

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.

Why now

Finance can finally focus on decisions, not administration.

Most AI investment makes existing processes faster, not decisions better.

$1.7tn
The value is still trapped

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.

7%
The tools have not unlocked it

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.

71%
Still work in spreadsheets beside the platform they bought

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.

Sources
  • 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
Seven domain modules

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.

The insight

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.

F1Entity resolutionOne counterparty, many records. The same customer, supplier or entity spelled three ways across three ledgers.
F2Reconciliation and matchingTwo records of one economic event, with no shared key between them.
F3Classification and mappingPut this item in the right box in someone else’s taxonomy, at volume, with confidence.
F4Timing predictionNot whether the cash moves. When. Terms say thirty days and the behaviour says forty nine.
F5Driver forecastingA forward view by entity and driver, with a confidence band, instead of a single number nobody believes.
F6Hierarchical coherenceThe top-down target and the bottom-up build reconciled by arithmetic, not by argument.
F7Variance attributionThe number moved. Decompose it into price, volume, mix, rate and currency before the meeting.
F8Allocation and unit economicsShared cost carried to the customer, product or channel that actually consumed it.
F9Anomaly and leakageThe journal, the payment, the discount or the accrual that does not fit the pattern.
F10Continuous monitoringThe covenant, the limit and the policy tested every day, not at signing and at year end.
F11Evidence and lineageTrace the figure to its source system, its transformation and the person who approved it.
F12Scenario and counterfactualModel the intervention before you fund it, then prove the effect afterwards.
What we do differently

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
01Record the transaction
02Process the workflow
03Report the period
04Predict the outcome
05Detect the deviation
06Explain the cause
07Intervene before it lands
08Prove it worked
Finance technology competes toProphesee competes to
The approach

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.

The engagement

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.

Weeks 1–2

Design

  • Select the decisions that best validate the case
  • Capture today's baseline to measure against
  • Agree dates, owners and expected outcomes
Weeks 3–6

Develop

  • Connect the systems of record behind the decisions
  • Configure the suite applications on your data
  • Capture the rules that turn output into action
Weeks 7–8

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
Customer outcomes

Proven, not promised

Finance
How a Swedish multinational stopped missing its FP&A targets
97%forecast accuracy

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.