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Finance and accounting automation with AI agents

Let agents do the data work behind your books (invoices, reconciliations, ledger entries, GST data prep and reminders), while your accountant reviews and approves.

Talk on WhatsAppTake the pilot scorecard
On this page (10 sections)
  1. Which finance tasks can an agent team take on?
  2. What does a finance agent team look like?
  3. What is in a finance team's stop rule?
  4. Which tools does it work with?
  5. How is the agent team put together?
  6. What should you prepare before talking to us?
  7. How do you know whether the pilot worked?
  8. How does a pilot with us work?
  9. Related reading
  10. Questions
Demo app recording, sample data only: ledger screen: an agent matches sample purchase invoices against supplier GST data, marks four as matched and flags two mismatches for an accountant to review
Demo with sample data

Which finance tasks can an agent team take on?

  • Invoice creation: draft sales invoices from orders, timesheets or contracts in Tally, Zoho Books or your billing tool, held for approval.
  • Purchase bill entry: extract vendor invoice data from PDFs and emails and prepare entries with the right ledger, tax rate and GSTIN.
  • Bank and payment reconciliation: match bank statement lines and payment gateway or UPI settlements against invoices, and list the unmatched items for a person.
  • GST data preparation: compile sales and purchase registers, check GSTINs and tax rates, and flag mismatches against supplier data before your accountant files. Agents prepare the data; they never file returns.
  • Receivables follow-up: scheduled payment reminders and a daily overdue list. See Tally reminders.
  • Expense claims: read receipts, check policy limits and route claims for approval.
  • Month-end packs: draft summaries of revenue, expenses, receivables and payables for review.

What does a finance agent team look like?

A typical back-office finance team: a team lead agent that plans the day and compiles the report; an intake agent that collects invoices and statements from email and folders; an extraction agent for PDFs; a bookkeeping agent that prepares entries; a reconciliation agent; a GST prep agent; and a collections agent for reminders. See the blueprint on our architecture page.

What is in a finance team's stop rule?

  • Alone: collect documents, extract data, propose entries and matches, prepare registers and reports, send approved reminder templates.
  • With approval: posting any entry to the books, issuing invoices, writing off differences, and sending anything to a customer other than standard reminders.
  • Hard stops: making payments, filing GST or tax returns, changing master data such as GSTINs or bank details, and anything that looks like possible fraud, such as a vendor's bank details changing in an email.

Which tools does it work with?

Tally and TallyPrime (integration depends on version and setup), Zoho Books, Excel and Google Sheets, bank statement exports, payment gateway reports, email and shared folders. We check integration options during scoping.

Illustration only, not a client project: A trading company receives about 40 vendor invoices a week by email. Agents extract each invoice, match it to the purchase order, prepare the Tally entry with GST details and list three invoices whose tax amounts don't match the PO. The accountant reviews the batch, fixes the three and posts.
Our stop rule

The agent drafts, routes and escalates. A person decides. Before anything is built we write down what the agent may do alone, what needs approval, and when it must stop and hand over with the full context attached.

How is the agent team put together?

Every team we build uses the same architecture: a team lead agent that plans and assigns work, specialist agents with narrow jobs and permissions, a shared task board where every task and approval is visible, tools and connectors limited to what each agent needs, scheduled routines for recurring checks and reports, and approval gates wherever money, customers, data or irreversible changes are involved. Every action is logged, live systems are backed up before edits, and a daily summary arrives in chat so a person always knows what happened.

It is the same pattern we use in-house for our 14-bot SEO team, ads agent and site ops agent on the owner's own businesses (in-house systems, not client results). For a new team we start small, usually a specialist, a reporter and the team lead, and add agents only once the first ones are trusted. See how we build agent teams and real in-house use cases.

What should you prepare before talking to us?

You don't need a technical brief. A useful first conversation needs only a few things, and gathering them is valuable even if you never work with us:

  • The process in plain words: what triggers it, who does what, and where it usually goes wrong.
  • Rough volumes: how many messages, orders, tickets or invoices per week. A one-week tally is enough.
  • Your tools: WhatsApp app or API, CRM, sheets, accounting or helpdesk software, including versions or plans where you know them.
  • Three real examples: typical messages or cases, plus one awkward one, with personal details removed.
  • What must never happen: the mistakes that would hurt most. These become the first lines of your stop rule.
  • An owner: the person who will review the workflow once it runs.

Send these on WhatsApp or by email, or run the pilot scorecard first.

How do you know whether the pilot worked?

We agree the success measure before building, and it should be something your team can count without a dashboard project. Typical measures include the share of enquiries logged the same day, time to first response, the number of follow-ups that actually happened, hours spent on the task per week, or the number of escalations that were correctly flagged. We count the baseline before launch (even by hand for a week) and again after a few weeks of running.

We also review the qualitative side with the people involved. Do they trust the drafts? Are handovers arriving with enough context? Are customers asking for a person more or less often? A pilot can hit its number and still need tuning, or miss it and teach you something important. Either way, the decision to keep, tune, expand or stop is yours, made on evidence. We don't publish generic success figures, because results depend on your process, volumes and team.

How does a pilot with us work?

Every engagement follows the same four steps. Consult: you walk us through the process, the tools and where it breaks. Pick the pilot: we choose one workflow and write down its inputs, outputs, tools, stop rule and success measure. Ship: we build it into the tools you already use and test it on real cases. Review: your team checks what the agent did and what it escalated, then decides whether to tune it, expand it or stop. Read the full pilot process.

Questions

Will the agents file our GST returns?

No. They prepare and check data. Filing stays with your accountant or CA.

Do you replace our accountant?

No. Agents take on data entry and matching so your accountant spends time on review and advice.

Is our financial data safe?

Access is limited to what each agent needs, actions are logged, and payments and master data changes are hard stops.

Next step

Start with one workflow

Tell us which process eats your team's time. You'll get an honest view of whether it's worth automating and what a first pilot would look like.

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Demo with sample data. Scroll or pinch to zoom. Press Esc to close.