/finance
Agentic workflows for finance
Finance copilots and back-office agents that sit on top of your ledger, not beside it — close, reconcile, analyse and report with the numbers traceable.
Finance is a domain Vyom Tech Sol builds agentic systems for. The most common build is a finance copilot: a conversational layer over the general ledger, sub-ledgers and reporting warehouse that lets finance staff ask questions in plain language and get answers with the underlying figures traceable back to source records, rather than a model guessing. Other work includes month-end close acceleration, automated reconciliation with agent-driven exception resolution, accounts-payable and accounts-receivable automation including invoice capture and three-way matching, variance analysis with generated narrative commentary, and forecasting and scenario support. Controls matter more than speed here, so these builds keep approval workflows, segregation of duties and audit evidence intact — the agent prepares and explains, a human approves. Vyom's emphasis is on numbers that reconcile and citations back to the ledger, because a finance answer that cannot be traced is worse than no answer.
What we build in finance
- →Finance copilot over ledger & reporting data
- →Month-end close acceleration
- →Reconciliation & exception resolution
- →AP/AR automation and invoice matching
- →Variance analysis & narrative reporting
- →Forecasting and scenario support
- →Controls, approvals & audit evidence
One agent, in depth
// agent deep-diveThe Reconciliation AgentClose is slow because of exceptions, not volume. An agent that matches what can be matched, and hands the accountant a documented explanation for everything that cannot.read the deep-dive →Common questions
What is a finance copilot?
A conversational layer over the general ledger, sub-ledgers and reporting warehouse that lets finance staff ask questions in plain language and get answers with the figures traceable back to source records. The value is the traceability — a finance answer that cannot be tied out is worse than no answer.
Can an AI agent close the books?
No, and it should not. The agent does the search-and-assemble work that consumes the close: matching, investigating exceptions, proposing treatments with evidence. A qualified human reviews and approves, and journals post through the ERP's normal controls.
How do you stop an AI agent producing numbers that do not reconcile?
The model never generates figures. Arithmetic happens in code, matching runs as deterministic rules, and the model only reasons about what an exception means and where to look. Every number cites where it came from.