Datarails Launches Desk, the First Ticketing System Built for Finance Teams

The launch follows the company's recent $70 million Series C round and a string of new offerings extending FinanceOS across the CFO's Office, including Spend Control in February of this year, and the AI Transformation Package in August, which embeds Forward Deployed Financial Engineers inside customer finance teams. Desk extends that same principle – that AI is only as good as the financial data behind it – to the day-to-day flow of vendor, customer, and employee requests that finance teams field constantly and, until now, have had almost no dedicated system to manage.

The problem: finance requests are scattered everywhere but tracked nowhere

Invoice questions, payment status checks, reimbursement submissions, budget approvals, tax form requests, vendor onboarding – finance and accounting teams field a constant stream of these requests, typically scattered across emails, Slack, Teams, and spreadsheets, with no central tracking, no audit trail, and no visibility for leadership into team workload or response times.

Generic ticketing tools like Zendesk or ServiceNow can organize requests, but they were built around support escalation, not the single-owner, start-to-finish resolution model finance actually works in. Moreover, none of them connect to the ERP, CRM, HRIS data, or banks needed to actually answer the question.

"Finance teams lose hours every week hunting for invoices, contracts, payment records and lots of other things buried in other systems, simply so they can answer basic questions that should take two minutes," said Didi Gurfinkel, Co-founder and CEO of Datarails. "We didn't want to build another queue that tracks a request and calls it solved. Desk is built on the idea that a finance ticket isn't resolved until it's grounded in the actual financial record behind it, which is exactly what FinanceOS makes possible."

What Desk does

Where general-purpose ticketing systems are designed around escalation – moving a request up through tiers of support – Desk is built around how finance actually resolves requests: a single owner sees a request through from intake to close. This, combined with direct financial-system connectivity, is what allows Desk's AI agent to draft grounded, auditable responses that a generic ticketing tool's AI cannot.

Desk centralizes finance requests from email, Slack, Teams, and other channels into a single structured queue, then uses its FinanceOS connection to bring the relevant financial context into every ticket automatically. Core capabilities include:

• Direct connectivity to ERPs, HRIS, CRMs, and other financial systems through FinanceOS, so relevant invoices, payments, and vendor or customer records are pulled into the workflow without manual searching
• AI-drafted, data-backed responses — Desk's embedded AI agent identifies the records behind each request, pulls supporting files, and drafts an evidence-based reply for review before it's sent
• Automated routing and SLAs, with tickets assigned by team, request type, or priority, and configurable timers built around how each finance team operates
• Team-based permissions and a SOX-grade audit trail, keeping sensitive data isolated across AP, AR, Payroll, FP&A, and Legal, with every action tracked
• Per-team dashboards giving each team, and finance leadership, a real-time view of open tickets, response times, bottlenecks, and workload across the organization

"You can bolt an AI chatbot onto any ticketing system, but if it isn't grounded in the company's own invoices, contracts, and vendor records, it's just guessing in a more confident tone," Gurfinkel said. "Desk's AI works from the same governed financial data every other Datarails product runs on, so the response it drafts is one your team can actually stand behind."

Datarails Desk is available now. To learn more, visit datarails.com.

About Datarails

Datarails is the AI finance operating system for teams across FP&A, cash management, and month-end close. Uniting financial and operational data, FinanceOS is the trusted data layer for finance teams ensuring every AI output is accurate, governed, repeatable and auditable. It lets users stay within Excel and a web-based platform, transforming the CFO's office into the home of business insights.

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SOURCE Datarails