Eagl raises $975K to automate month-end close with AI agents

Eagl raises $975K to bring AI agents to month-end close

Belgian fintech Eagl BV has raised €825,000 ($975,000) to speed up development of its AI-native Financial Agentic Platform, grow its AI and engineering teams, and scale across Europe.

Founded in April, Eagl is building an AI platform that sits on top of your ERP and accounting stack to automate accounting and controlling workflows. It monitors data quality continuously, applies business context to anomalies, and resolves issues in real time-so finance teams can close faster with higher confidence in data integrity.

What this means for finance leaders

• Continuous close: shift from end-loaded reconciliations to ongoing checks and fixes throughout the period.
• Cleaner audits: automated evidence, consistent rules, and tighter exception handling shorten audit cycles.
• Data quality on autopilot: anomalies are detected and addressed as they arise, not days later.
• Business-aware logic: controls consider materiality and context, not just generic flags.
• Scale without headcount: handle multi-entity, multi-currency workflows with less manual effort.

Month-end without the grind

Traditional close relies on manual reconciliations, fragmented data gathering, and last-minute error chasing. It often takes weeks and leaves little room for analysis.

Eagl automates those steps and surfaces instant insights. The result: shorter audit cycles and books that are easier for auditors to review.

"Most finance teams are stretched thin, fixing problems instead of adding real value," said co-founder and CEO Samuel Van Innis. "With Eagl, we turn days of manual checking into instant insights, empowering finance leaders to focus on strategic topics while auditors get cleaner books, faster."

How it fits into your stack

The platform connects directly to ERP and accounting systems, then runs in the background to keep ledgers aligned, match transactions, and resolve exceptions. It doesn't stop at flagging-its agents act on issues using predefined policies and business rules, with an audit trail.

Who backed the round

The round was led by Syndicate One and CNBB Equity Partners. It includes SaaS operators such as Matthias Geeroms (Lighthouse Inc.), Joris Van Der Gucht (Silverfin NV, Ravical Inc.), Jeroen De Wit (Teamleader CRM NV), Lorenz Bogaert (Rydoo NV, StarApps Studio NV), Louis Jonckheere (Showpad NV), Roeland Delrue (Aikido Security NV), and Jorn Vanysacker, Gilles Mattelin, and Wouter Van Respaille (Henchman Inc.).

"Eagl is tackling one of the most frustrating bottlenecks in finance with technology that actually understands business context," said Matthias Geeroms, founder and CFO of Lighthouse.

How to pilot agentic AI for close and controlling

• Start with one process: reconciliations or intercompany eliminations are high-impact and measurable.
• Define guardrails: materiality thresholds, exception policies, and approval flows before agents act.
• Connect systems: grant read/write access with least privilege and map entities, charts, and taxonomies.
• Track KPIs: days to close, exception rate, time-to-resolve, and audit adjustments.
• Involve auditors early: agree on evidence formats, logs, and sampling expectations.
• Plan change management: give accountants clear visibility, override options, and rollback paths.

Risk controls and questions to ask

• Security and compliance: SOC 2/ISO 27001, data residency, encryption, and vendor access policies.
• Auditability: full action logs, versioned rules, and explainable resolutions.
• Controls fit: how agents apply business context, materiality, and segregation of duties.
• Coverage: supported ERPs, entities, currencies, and reconciliation types.
• Recovery: how to revert changes and reprocess if a rule is updated.

Bottom line

Month-end is still a bottleneck for many teams. Eagl's agentic approach pushes the work into the background, so finance can spend more time on analysis and less on chasing exceptions.

Want to explore more AI options for finance teams? Check our curated list of tools here: AI Tools for Finance.