Atlas Labs Automates 70% of Its Finance Workload

Atlas Labs Had Every Finance Tool It Could Need. What It Still Lacked Was a Finance Function That Could Run Day to Day Without Constant Human Input.

Categorisation, approvals and reporting were all handled by people copying data between systems. The finance team was large, expensive and still late every month, and each new hire added more handoffs rather than more insight. For a 400-person enterprise SaaS company, the operating model simply could not scale any further.

Connect Every System Before Automating

The rollout began by connecting banks, payroll, billing and the CRM to Euphoria in the first week. Every transaction now arrives already enriched with customer, vendor and contract context, which gave the AI agents the complete picture they needed before taking on any work.

Let the Agents Do the Routine

Euphoria's AI agents now categorise each transaction and propose the matching invoice or receipt, learning from every correction the finance team makes along the way.

Approvals route automatically based on amount, department and vendor, and the co-pilot drafts a short summary so approvers can decide in seconds. Monthly reports assemble themselves from the reconciled ledger, removing the spreadsheet stage that used to consume the first week of every new month.

The team set confidence thresholds for each type of task. Below them, agents hold the work and ask; above them, they act and log the decision, so automation expanded gradually and safely as the team’s trust in the agents grew.

Keeping Humans in Charge of the Exceptions

Instead of checking every entry, the finance team now reviews a single daily exception queue. Anything the agents are unsure about is escalated with a suggested answer and the reasoning behind it, so most items are resolved with one click.

Every correction feeds back into the agents, which means the exception queue has shrunk steadily since launch. Controllers retain full control and a complete audit trail, while the repetitive volume no longer reaches them.

Seventy Percent Automated, Four Times the Speed

Today 70% of Atlas Labs' finance workload runs end to end without manual input, and reporting is delivered four times faster than before the rollout. Accuracy improved at the same time.

The team itself has changed shape. Analysts who once spent their days on data entry now focus on forecasting, pricing and unit economics, and leadership receives answers to commercial questions in hours instead of weeks. Growth no longer requires more finance headcount. As the integration director says, the team now spends its time on analysis instead of keying in data, which has transformed the function.