Your Finance Team Is Spending 40+ Hours a Month Just Pulling Numbers. That's Not Work. That's Punishment.

How Coasty's Computer Use Agent Handles Finance Work

Coasty is a computer use agent, meaning it doesn't just call APIs or work inside a single tool. It operates your actual desktop, the same way a human analyst would. It opens your ERP, navigates to the right reports, pulls the data, opens Excel or Google Sheets, populates the template, checks the figures, and exports the finished report. No API integration required. No custom connectors. No months-long IT project. Here's what that looks like in practice for finance teams. Coasty logs into QuickBooks, Xero, NetSuite, or whatever system you're running. It pulls the period's transactions, maps them to your reporting template, runs the reconciliation, flags anomalies that fall outside your defined thresholds, and generates the finished report in your preferred format. It does this in minutes, not days. And because it's a computer use agent operating through the actual UI, it works with any software your team already uses, even the legacy systems that have no API and that your IT team has been meaning to replace since 2019. For month-end close, Coasty handles the data gathering that typically eats the first three days of the process. For recurring reports, whether that's weekly P&L snapshots, cash flow summaries, or board-level dashboards, it runs on a schedule and delivers finished outputs without anyone touching a keyboard. Finance teams using AI agents for this type of work have cut manual reporting time by 60 to 90%, according to MindStudio's 2026 analysis of agent deployments. One SaaS finance team reduced their month-end close from five days to under one hour. Coasty scores 82% on OSWorld, the gold-standard benchmark for computer use agents. That means it handles real, complex, multi-step desktop tasks reliably. Not demos. Not controlled environments. Real software, real workflows, real results.

Why This Beats Everything Else

• ●RPA bots break constantly. Studies put RPA project failure rates at 30 to 50%, and maintenance costs eventually match or exceed development costs. Every time your ERP updates its UI, your bot stops working. Coasty's computer use agent adapts visually, the same way a human does, so UI changes don't kill your automation.
• ●No integration project required. Traditional finance automation tools demand API access, developer time, and IT buy-in. Coasty works through the screen. If a human can do it on a computer, Coasty can automate it, including legacy systems with no API, vendor portals, and government reporting sites.
• ●It handles the messy, unstructured work that RPA can't. Pulling data from a PDF invoice, navigating a multi-step approval workflow, interpreting a non-standard report format. Computer use handles all of it because it sees and interacts with software the way a person does.
• ●Your analysts get their time back for actual analysis. The 80% of finance team time currently spent on data gathering gets compressed to near zero. What's left is the 20% that actually moves the business, forecasting, scenario modeling, strategic recommendations.

Real Results When You Automate Finance With a Computer Use Agent

When finance teams deploy a computer use agent for reporting and reconciliation, a few things happen fast. First, the month-end close shrinks. The average close takes 6.4 days. Most of that time is data gathering and manual reconciliation. Automate those steps and you're looking at one to two days, sometimes less. One finance team cut their close from five days to under an hour after automating their data consolidation. Second, errors drop to near zero on the tasks the agent handles. Manual data entry has a well-documented error rate. Humans make mistakes on repetitive tasks, especially at the end of a long quarter. A computer use agent runs the same logic every time, flags anything that looks off, and doesn't get tired at 11pm before a board meeting. Third, your team stops being a reporting factory. Right now, if your analysts are spending 40 hours a month on manual reporting, that's a full week of salary per person going toward work that produces no insight. Redirect that time toward actual financial analysis and you're not just saving money, you're getting a better finance function. Finance teams using AI agents for these tasks are reporting 60 to 90% reductions in manual reporting work. For a team where a senior analyst costs $90,000 to $130,000 per year, that's $54,000 to $117,000 in recovered capacity annually, per person. The math is not complicated.