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CODX / 2026AVAILABLE Q2

AI Agents for the finance department Automate the CFO's repetitive work

We build custom AI agents for finance: automated reconciliation, anomaly detection, conversational financial analysis over your data, and month-end close automation.

Intro

Real use cases for AI agents in finance

Finance teams spend 40-60% of their time on repetitive work: reconciling payments, classifying expenses, validating invoices, preparing reports. Modern AI agents can automate 70-80% of these tasks with accuracy above the human baseline when they are well trained. They are not chatbots — they are systems that read your documents, access your ERP, execute actions and leave an audit trail. The goal is a shorter, more predictable close and an accounting team that spends its time on analysis instead of mechanical data entry.

For whom

Who benefits most

//01
Pain

CFO / Finance Director

  • Month-end close takes 8-12 days
  • Team saturated with no time for analysis
  • Executive reporting always delayed
→ Solution
  • Close in 2-4 days with automated reconciliation
  • Team frees 40-60% of their time
  • Reporting generated automatically
//02
Pain

Accountant / Admin

  • Classifying expenses one by one is painful
  • Validating supplier invoices takes hours
  • Human errors in reconciliation are costly
→ Solution
  • Automated classification by account and cost center
  • Automated validation against purchase orders
  • Reconciliation with anomaly detection
//03
Pain

Startup with small finance team

  • 1-2 people covering the whole finance function
  • No time for analysis, pure survival
  • Hiring a senior accountant is expensive
→ Solution
  • AI agent doing the work of a junior accountant
  • Small team can scale operations 5-10x
  • Clear ROI vs hiring a second person
What we do
01

Automated payment reconciliation

Agent that reconciles bank movements with issued invoices. Detects discrepancies and proposes resolution with context.

02

Automated expense classification

Reads received invoices (OCR + LLM), classifies them by account, cost center and project. Learns from accountant corrections.

03

Smart invoice validation

Compares received invoice against purchase order and delivery note. Detects discrepancies in price, quantity or supplier. Automatic escalation.

04

Conversational financial analysis

Natural language questions over your financial data: "how much did we invoice client X last quarter?", "why did margin drop in September?".

05

Anomaly detection

Learns invoicing and cost patterns. Alerts when something falls outside the expected range (duplicates, unusual amounts, new suppliers).

06

Month-end close automation

Journal reclassification, provision calculation, accruals, adjustments. The accountant reviews instead of doing.

Process

Use case workshop (1 week)

We prioritize 1-2 highest-ROI cases for your finance team: reconciliation, classification, analysis.

PoC with real data (2-3 weeks)

PoC with your anonymized data. We validate accuracy and ROI before investing more.

ERP integration (6-10 weeks)

Integration with SAP, Odoo, Holded, SAGE, Contasimple, A3ECO and others. Custom connectors when needed.

Deployment with supervision

Gradual rollout with initial human supervision. Metrics for accuracy, time saved and ROI.

Expansion and maintenance

New use cases on top of the first. Monthly SLA and continuous evolution.

Case study

Leonard AI · AI embedded in multi-center financial management

We embedded AI into Leonard AI's financial and operational management: per-center reconciliation, anomaly detection in service invoicing, automatic alerts to the admin team. All of it running on the multi-tenant platform, with per-center visibility for the operator.

leonard-ai.com
Investment

Single-case PoC

Find out what it would cost →
  • 1 case: reconciliation or classification
  • PoC with real data, 2-3 weeks
  • Accuracy and ROI evaluation
  • Executive presentation
  • Production roadmap

Production agent

Find out what it would cost →
  • 1-2 cases integrated
  • ERP integration
  • Monitoring dashboard
  • Team training
  • 3 months support

Annual finance program

Find out what it would cost →
  • 3-5 cases in production
  • Continuous monthly evolution
  • Metrics and executive reporting
  • Priority support
  • Enterprise SLA
FAQ

Frequently asked questions

Question not here?

Write to us. We respond within 24 hours with an initial technical orientation.

Is it safe for an AI agent to touch our financial data?+

It depends on the architecture. We implement complete audit trails for every action, human supervision on critical steps (payments, accounting changes), end-to-end encryption and on-premise models for sensitive data. The agent never gets execution capability without control.

Does it integrate with SAP, Odoo, Holded or SAGE?+

Yes. We have connectors for the most common ERPs in Europe. If your ERP has an API or accessible database, we can integrate. For SAP we can use BTP or middleware connectors depending on your setup.

Does it replace the accounting team?+

No. It frees them from repetitive tasks so they can focus on analysis, control and decisions. The junior accountant operates as senior with the agent's help. The senior becomes a CFO-lite. Nobody loses their job — everyone gains in value added.

How long is the payback period?+

Depends on volume. For a company with 500+ invoices/month, typical payback is 6-12 months via time savings. For smaller companies, the decision is more about capacity (doing more with the same team) than direct savings.

Is it GDPR-compliant and audit-safe?+

Yes. We build with compliance from day one: complete audit trail for tax authorities, full traceability of every agent decision, encryption, on-premise option for highly sensitive data.

Contact

Shall we automate your finance with AI?

30-minute call to identify the 2 highest-ROI use cases in your finance department. No commitment.