Treasury enters a new era
Discover how Agicap's AI features help you automate reconciliation, enhance the reliability of your cash flow forecasts, and strengthen the security of your financial data.
AI at the service of your financial performance
Elevate Your Treasury to the Next Level
Financial Intelligence at Your Service
Our AI-driven features automate your daily tasks and enhance the reliability of your decisions.
Zero-Touch Reconciliation & Journaling
Say goodbye to manual matching. Agicap automatically retrieves transactions and generates journal entries instantly. Our AI matches bank flows with expected invoices, ensuring your books are audit-ready any time.
Automate 95% of bank journal entries
Seamless ERP synchronisation
Automated recovery
Deploy an intelligent AI agent to draft personalised reminder emails at scale. Whether you need a friendly nudge or a firm notice, the AI adapts its tone based on the client's payment history. Use Speech-to-Text to log call notes instantly, ensuring a complete, searchable record of every interaction.
Reduce DSO by 20-40%
Reduce time spent on collection by 50%
Cash flow forecasting assistant
Automate transaction categorisation to drastically reduce manual workload. Agicap AI immediately helps explain the variance between actuals and forecasts. It also streamlines the creation of recurrences by automatically identifying patterns based on labels, amounts, dates, and bank accounts.
AI Fraud & Error Shield
Protect your cash flow against current threats. Our AI detects fake documents generated by artificial intelligence and identifies duplicates or payment anomalies before they impact your cash position.
Intelligent Data Extraction Agents
OCR & structured data capture: Automate the capture of financial documents. Agicap OCR scans, controls, and archives purchase orders, delivery notes, invoices, receipts, and repayment schedules, ensuring data accuracy from the very first input. This reliable foundation feeds your Procure-to-Pay process.
Don't take our word for it
"Agicap automates bank transaction posting. With more than 380,000 journal entries each year, this represents one week of a FTE time saved each month"
Chief Accountant of a Medical Group Operating 50+ Medical Biology Labs
"Our entire team uses Agicap... Thanks to the automatic reconciliation, we always send reminders at the right time... no unnecessary reminders are sent."
CFO of a B2B Electrical Equipment Distributor (-30% DSO)
"Agicap's modules enabled us to identify a seven-figure optimization amount and specific actions to carry out these optimizations."
Stefan Truthän, CEO of hhpberlin
"Agicap has also enabled us to reduce the variance in our cash flow projections and to have a 90% reliable and categorized forecast, whereas before we only had very macro data."
Nihal Atasay, Group Treasurer, OCEA
"A decisive factor... It's plug and play: a project led by Finance, for Finance, without technical complexity."
Yves Souguenet, CFO, Hennecke Group
Frequently Asked Questions
Does Agicap's AI work from day one?
Yes. As soon as you connect your bank accounts, our algorithms analyse the retrieved history to immediately categorise your transactions. The more you use Agicap, the more the AI refines itself and adapts to the specificities of your industry and your third parties.
Are my financial data used to train public models (such as ChatGPT)?
Absolutely not. The confidentiality of your data is our top priority.
The AI models used by Agicap are compartmentalised and private.
Your financial data is never shared with third parties to train public models.
We strictly comply with GDPR regulations and the highest banking security standards (ISO 27001, SOC2).
What is the difference between RPA, machine learning, and generative AI in cash management?
These three technologies coexist but are not based on the same logical architectures:
RPA (Robotic Process Automation): This is deterministic automation. The system executes programmed scripts to mimic simple human actions (clicks, copy-paste, API calls) based on strict conditional rules (If/Then)
Machine Learning (ML): This is advanced statistical analysis. Regression and time series algorithms are trained on structured data sets to identify mathematical correlations that are invisible to the naked eye.
Generative AI (GenAI): This is the creation of contextual content. It uses language models to understand and generate text. For example, in Agicap, for debt collection, it writes reminder emails, adapting the tone (friendly or firm) according to the customer's profile.
