Introducing AI Agents for Treasury

Today we're launching AI agents in Atlar. Each agent handles a specific treasury task autonomously, from assembling your daily cash position to reviewing every outgoing payment. They run on the full breadth of your financial data, do the work, and surface results for you to review.

When we launched our AI assistant late last year, finance teams could query their treasury data in plain language for the first time. Thousands of prompts later, the assistant has changed how our customers’ teams interact with their data.

Agents are the next step in Atlar Intelligence. Rather than waiting for a prompt, they run on a schedule, apply structure to your data, and deliver output you can act on.

Atlar customers can get started right away. The cash positioning and payments briefing agents are live now, with bank reconciliation and forecasting coming soon. See our docs to set up your first one.

Cash positioning

The cash positioning agent pulls balances from every connected bank and wallet, breaks them down by entity and currency, and compares today's position against recent trends. You set the schedule and tailor the focus and level of detail through custom instructions. Reports land in your inbox, ready to review. A full history of every execution is available for audit.

Payments briefing

The payments briefing agent reviews your outgoing payment activity and delivers a structured flash report. It flags failed or stuck payments, surfaces approval bottlenecks, summarizes scheduled outflows by currency and status, and highlights anomalies against recent patterns. You control the frequency, customize the output, and choose who receives it, just like every agent.

Bank reconciliation

The reconciliation agent combines rule-based logic with AI that learns from your data to match bank transactions to your AP and AR records, including partial and complex matches. It suggests new matching rules based on patterns it observes, and surfaces the exceptions that need a human decision. You review the matches, approve, and focus on what matters. It's built into Atlar's bank reconciliation product, currently in beta.

Forecasting

The forecast agent generates cash forecasts from your historical flows across all connected accounts and updates them as conditions change. It flags liquidity gaps and concentration risks early, so you're planning ahead rather than reacting, and builds on Atlar's cash forecasting product.

Why agents need more than a good model

The reason most AI in finance underwhelms isn't the models, it's the data. Financial data tends to be fragmented across bank portals, ERP systems, and spreadsheets, with different formats, update cycles, and levels of completeness. When AI operates on incomplete inputs, the output is unreliable, and in treasury, unreliable means useless.

We spent our first years building connectivity for exactly this reason. Atlar integrates directly with financial providers in over 100 countries and every major ERP, all consolidated in real time. Teams at Lovable, Mangopay, Tide, Trustly, and Zilch rely on this foundation to manage cash, payments, and liquidity in one place. That gives agents something most AI in finance doesn't have: complete, accurate inputs.

But data alone isn't enough; agents also need tools to act with. In Atlar, those tools are products: cash management, payments, reconciliation, forecasting. Each one gives agents the means to do real work, not just describe it.

Security

Agents are built with the same safeguards that underpin the Atlar platform:

• Agents cannot retrieve data a user doesn't already have access to. Role-based controls ensure information is always restricted to the right people.
• Customer data is never used to train or fine-tune models. Your information stays private at all times.
• All processing runs on AWS in Europe, so no data ever leaves Atlar's environment.

For more on how we approach security, visit our security hub.

What’s next

From here, we're building more agents to handle the routine work that consumes treasury teams' time: sweeping funds, managing exposures, monitoring compliance. All grounded in the same real-time data and connected to the same execution layer.

If you'd like to see our agents in action, book a demo or get in touch with our team.