Cash-Flow Forecasting Agent
A cash-flow agent that supports management control by automating the manual checks — real-time analysis, predictive forecasting and early warning on liquidity.
- SAVED / MONTH — SMALL TEAM
- 20–40h
- SAVED / MONTH — MID MARKET
- 80–160h
- SAVED / MONTH — FINANCE TEAM
- 250h+
- MONTH-END CLOSE
- faster
What it automates
- C·01
Real-time cash analysis
Cash flows are analysed continuously instead of reconstructed once a month in a spreadsheet.
- C·02
Predictive forecasting
Forward forecasts are built on your own history and models, not a static budget line.
- C·03
Anomaly alerts
Unusual movements and looming liquidity gaps trigger alerts before they become a problem.
- C·04
Executive dashboard
The finance KPIs sit on one control dashboard with thresholds you set.
- C·05
Bank and accounting sync
The agent reads from your accounting and banking systems so the numbers are current.
- C·06
Payment timing
It flags optimal timing for supplier payments and predicts late-paying customers.
A cash-flow picture that updates itself instead of waiting for month-end.
The agent reads your ledgers and bank feeds continuously, rebuilds the cash position and rolls the forecast forward on your own history. Unusual movements and looming liquidity gaps trigger an alert before they become a problem, and every figure on the dashboard traces back to its source transaction — decisions stay with your finance team.
- bank & ledger synced
- cash position rebuilt
- forecast rolled forward
- anomaly alert raised
- finance reviews & decides
Measured in hours saved.
The agent analyses, forecasts and alerts; financial decisions stay with your team. It reads from your accounting and banking systems and nothing leaves your environment. Every figure traces to its source.
- 20–40hSAVED / MONTH — SMALL TEAM
- 80–160hSAVED / MONTH — MID MARKET
- 250h+SAVED / MONTH — FINANCE TEAM
- fasterMONTH-END CLOSE
How we take it to production
STEP 1 Pre-design
Discovery call and a technical audit of your accounting, banking feeds and current reporting.
STEP 2 Data and models
We connect the ledgers and bank feeds and agree the forecast model and alert thresholds.
STEP 3 Pilot
We run the agent on real data — live analysis, forecasts and anomaly alerts, reviewed with finance.
STEP 4 Rollout
We measure close time and hours saved, then extend across entities and reporting lines.
01Does it make financial decisions?
No. It analyses, forecasts and alerts — the decisions stay with your finance team. It's decision support, and every number traces back to its source.
02Where does the data come from?
Your accounting system and bank feeds. The agent reads from your source of truth so the forecast reflects reality, not a manual snapshot.
03How accurate is the forecast?
It's built on your own history and improves as it sees more data. It surfaces liquidity risk early; it doesn't replace your controller's judgement.
04Is our financial data secure?
The agent runs against your own systems and nothing leaves your environment.
05How long to a live pilot?
A first forecast on real data is usually running within a few weeks of pre-design.
Pre-design is free.
Before you commit to anything, we analyse the process, size the return, and design the agent around your team.
- Discovery call and a demo of the solution
- Technical audit of the current workflow
- Return-on-investment estimate
- Third-party accounts and access planning
- Operating flows designed around your team
- Data and database requirements analysis
- 01Map the workflow
- 02Estimate hours saved
- 03Scoped proposal
§ 08
Put this agent to work.
Book a 30-minute scoping call: we map the workflow, the tools it needs from your system, and the hours it returns.