Robotic Process Automation

Robotic process automation, or RPA, uses software bots to carry out repetitive, rule-based tasks inside your existing finance systems, working through the same screens and files your team uses. A bot can log in, read data, move it between applications, apply defined checks, and post entries by following rules you set. It suits high-volume work such as reconciliation, data entry, and report preparation, where the steps are consistent and the inputs are structured. Work that needs judgement stays with your team.

Tasks that are repetitive, rule-based, and high in volume are the strongest candidates. Common examples in a finance function include GST reconciliation, invoice processing, bank reconciliation, accounts payable matching, TDS computation and return preparation, and scheduled report generation. Tasks that need professional judgement, negotiation, or interpretation of unclear information are better kept with your team, sometimes with a bot handling the routine portion and passing exceptions to a person.

RPA follows fixed rules and works with structured data. It repeats a defined sequence of steps exactly and does not learn on its own. Artificial intelligence works with unstructured or variable data, recognises patterns, and can make decisions based on probability. The two are often combined: AI reads a variable input, such as a scanned invoice, and RPA carries out the structured steps that follow, such as validation and posting. This combination is usually called intelligent automation. For most routine finance tasks, rule-based RPA is sufficient on its own.

A bot captures invoice data, using optical character recognition (OCR) where invoices arrive as PDFs or scans, then validates the extracted fields against your purchase order and master data. Where the details agree within set tolerances, the bot routes the invoice for approval and posts it to your accounting system. Where they do not, it flags the item as an exception for a person to review. This removes manual keying while keeping a person in control of anything that does not match.

Three-way matching checks a supplier invoice against two other documents before payment: the purchase order and the goods receipt note. The bot confirms that the quantity and price on the invoice agree with what was ordered and what was actually received. Two-way matching compares only the invoice and the purchase order, without the receipt. Three-way matching adds the goods-received check, which guards against paying for items that were ordered and billed but not delivered.

A bot retrieves the bank statement, matches each line against entries in your ledger using rules such as amount, date, and reference, and marks the matched items. Items it cannot match, such as bank charges not yet booked or timing differences, are listed as exceptions for your team to clear. The reconciliation can then run daily or on demand rather than once a month, so differences surface sooner and the period close is shorter.

The bot pulls your GSTR-2B, the monthly statement the GST portal generates from your suppliers' filings, and matches it line by line against your purchase register. It flags invoices present in one source but not the other, along with mismatches in tax amount or GSTIN. In 2026, GSTR-2B is the reference point for input tax credit, so credit is generally available only for invoices that appear there. The mismatch report shows which credits are supported, which are missing from suppliers, and which need follow-up before you file GSTR-3B.

Both show the input tax credit reported by your suppliers, but they behave differently. GSTR-2A is dynamic: it updates continuously as suppliers file or amend their returns, so the figure keeps moving. GSTR-2B is static: it is a fixed monthly snapshot, generated on the 14th, that states the credit available for that period. Because it does not change after generation, GSTR-2B is the statement used to claim and reconcile input tax credit each month. Since the Invoice Management System took effect from the October 2025 period, the credit flowing into GSTR-2B also depends on whether you accept, reject, or keep pending each invoice on the portal.

For GST, a bot can assemble the data for GSTR-1 and GSTR-3B and reconcile GSTR-2B before filing. For TDS, it can compute deductions, generate challans, and prepare the quarterly returns. The salary return is Form 24Q [ITR 2026: Form 138], and the non-salary resident return is Form 26Q [ITR 2026: Form 140]. These statements are furnished under Section 200(3) [ITA 2025: s. 397(3)(b)]. Salary withholding is governed by Section 192 [ITA 2025: s. 392]. The 2025 Act consolidates multiple other resident-payment TDS provisions in Income-tax Act 2025 Section 393, so each automation rule must be tied to the exact payment type rather than treated as a one-to-one renumbering. The applicable form and provision follow the relevant deduction/reporting period and the repeal-and-savings rules. The bot prepares and validates the data, and a person reviews and authorises each filing.

We map your current finance workflows to find tasks that are repetitive, rule-based, and high in volume, since those return the most from automation. We then assess each candidate for system compatibility, data quality, and how often its rules change, because a stable, well-defined process automates more reliably than one with frequent exceptions. Processes that pass this review move to a build stage. Those that do not are noted, sometimes for partial automation where only the routine steps are handled by a bot and the rest stays manual.

Yes. RPA operates at the user-interface and file level, so a bot can work with an application much as a person does, including Tally, SAP, and other accounting or ERP systems, as well as the GST and income tax portals. Where an application offers a direct data connection, the bot can use that instead, which is more stable than screen-level steps. We confirm how each of your systems exchanges data during the assessment stage and build the bot to suit.

We select the platform to fit the process and your existing technology rather than fixing on one tool. Widely used enterprise platforms include UiPath, Automation Anywhere, and Microsoft Power Automate, the last of which suits organisations already working within Microsoft 365. The choice depends on the systems involved, the volume of work, and whether tasks run attended, meaning started by a person, or unattended, meaning on a schedule. We advise on a suitable option for your situation.

Bots run within your environment and access systems using controlled credentials, with permissions limited to the task at hand. Every action a bot takes is logged, which produces a complete, time-stamped audit trail of what was processed and when, often more detailed than manual work leaves behind. Access controls, segregation of duties, and review of exceptions remain with your team. We design each automation so that sensitive data stays inside your systems and the trail supports audit and regulatory inspection.

Because RPA follows fixed rules, a change in a portal layout, a form, or a statutory rule can stop a bot from working correctly. This is expected and managed through monitoring and maintenance: we watch for failures, update the bot's logic when forms or rules change, and test before returning it to live use. The recent renumbering of income tax forms under the Income Tax Rules 2026 is an example of the kind of change that calls for a configured update so that outputs stay valid.

No. Automation handles the repetitive, rule-based portion of the work. It does not perform analysis, exercise judgement, or manage exceptions and relationships. In practice it shifts your team's time away from data entry and matching toward review, exception handling, and advisory work. People remain responsible for decisions, approvals, and anything that calls for interpretation, while bots carry out the defined steps in between.