Reconciliation
Bank to ledger, GSTR-2B to purchase register, marketplace settlements to orders, payment gateway to invoices. Fuzzy matches are scored and explained.
Build
Agents that reconcile, check, match, process and report across Tally, SAP, Zoho, your bank portals and your spreadsheets. They do the routine steps, flag the exceptions, and wait for a person to approve anything that matters.
Typical situations, not quotes from clients.
Rule-based automation works when the inputs are tidy. Indian back offices are not tidy: narrations that say “NEFT/ABC TRADERS/INV 4471”, vendor names spelt five ways, emails with orders typed in the body. Agents can read the mess, apply your rules, and leave a clear trail.
Bank to ledger, GSTR-2B to purchase register, marketplace settlements to orders, payment gateway to invoices. Fuzzy matches are scored and explained.
Missing or mismatched GSTINs, input tax credit at risk, invoices not yet filed by vendors, e-invoice and e-way bill details that do not match.
Orders arriving by email, WhatsApp or PDF are read, checked against stock and price lists, and entered into your ERP for approval.
Daily MIS, ageing reports, exception summaries and vendor follow-up emails, drafted from live data and sent after a person checks them.
You decide which steps run alone and which need sign-off. Postings above a threshold always wait for a person.
Every step logged: what the agent read, what it decided, why, and who approved.
Where a system has no API, we use exports, scheduled files or supervised browser steps, and we tell you the trade-offs of each.
Typical length: 3 to 8 weeks from pilot start to production.
We sit with the team, time each step of the process, and collect three months of real inputs and outputs.
A fixed-price pilot on one process, run in parallel with your team on live data. Scored against your team’s own results for the same period.
Production integration, approval flows, scheduling, security review and team training.
Weekly exception review, new rules added, accuracy reported against the agreed metric.
Before we build, we agree with you in writing:
Agent results compared line by line with your team’s results on a past period.
The share of items handled without a person.
Whether flagged items are real problems, not noise.
How long the process takes end to end, before and after.
above the agreed threshold.
Indicative price
₹4 lakh to ₹20 lakh
excluding GST, from pilot to production.
The range depends on the number of processes, systems and rules. The pilot is a fixed price quoted after Discover. 40% advance, the rest on milestones.
Model, API and cloud costs are passed through at cost plus a 10% handling margin when we hold the accounts (no margin if you pay the providers directly). Most back-office agents are cheap to run; we estimate the monthly cost before you sign.
RPA follows fixed clicks and breaks when screens or formats change. Agents read the content, handle variation and explain their decisions. We still use plain rules wherever they are enough.
Only if you choose that, and only below a threshold you set. By default, postings wait for approval.
Yes. We can give your CA firm reviewer access to the exception queue.
The agent usually adapts. If it does not, the failure is caught in the weekly review and fixed under Managed AI.
Sometimes not. If a process takes one person two hours a month, we will tell you to leave it alone.
A 30-minute call with a founder. We will tell you whether an agent can take it on, and how we would prove it.