Utility Bills · Reconciliation

Bill reconciliation, done by AI — verified by humans

Provider portals on one screen, your CRM on the other, and a person in between copying numbers late into the night. Replace that with an AI matching engine that reconciles every record — and a trained human who verifies every exception before you see it. Keep your manpower free for the work that actually needs them.

Bills reconciled between provider portal and CRM
The Daily Grind

Reconciliation is where good staff go to do bad work

Hours, every single day

Downloading discom/biller statements, exporting BBPS partner reports, matching them line-by-line against CRM entries and bank credits — the same loop, every day, forever.

Errors that cost real money

A missed failed-payment reversal, a duplicate credited twice, a commission slab applied wrong — manual matching leaks rupees precisely where nobody is looking.

Talent stuck in Excel

The people doing this are usually your best operations staff — capable of growing the business, chained instead to VLOOKUP.

How It Works

AI does the matching. People sign off the exceptions.

Collect

Provider-portal statements, BBPS/partner reports, bank statements and your CRM/ERP export — PDFs, CSVs, Excel, even portal screenshots.

Extract

AI reads every format into one normalised ledger — consumer numbers, references, amounts, dates, statuses.

Match

Exact matching first, then intelligent fuzzy matching on reference, amount and date windows — duplicates, reversals and partials detected.

Verify

Every exception goes to a trained human — plus sample audits of auto-matches. Nothing reaches your report unverified.

Report

Daily or weekly: matched totals, exception list with evidence, recovery actions, and a sign-off trail your auditor will love.

90%+
Of records typically auto-matched by the engine
100%
Of exceptions reviewed by a human before reporting
T+1
Standard reporting cadence — yesterday reconciled by morning
15+ hrs
Staff time freed weekly for a typical mid-size operation
Coverage

If two systems should agree, we make them agree

  • Biller/discom portals ↔ your CRM: payments you collected vs. what the provider credited — per consumer number, per day
  • BBPS/partner reports ↔ settlements ↔ bank: agent-network collections traced from transaction to bank credit, commission slabs re-computed and checked
  • Failed & reversed transactions: flagged with age and follow-up owner, so refunds never silently expire
  • Duplicates and partials: caught before they become customer disputes
  • Society/school/ISP collections ↔ ledgers: dues raised vs. received vs. receipted, defaulter lists auto-refreshed
Your data, guarded: least-privilege portal access (read-only wherever providers allow), masked consumer data in working files, India-resident processing, DPDP-aligned handling and NDAs as standard. Access is logged and revocable by you at any time.
Reconciliation worksheets and calculator

One ledger, every source, human-signed.

Indicative Pricing

Pay per record — a fraction of a salary

Monthly volumePer reconciled recordIncludes
Up to 10,000 records₹1.50AI matching, 100% human-verified exceptions, T+1 reports, exception evidence pack, monthly audit summary
10,000 – 50,000₹1.00
Above 50,000₹0.60 (quoted)

Minimum billing ₹4,999/month. One-time onboarding (source mapping and format training) from ₹9,999. All figures indicative; GST 18% extra; TDS as applicable. Dedicated-desk retainers available for daily multi-provider operations.

FAQ

Reconciliation service — asked and answered

Which providers and formats can you handle?
Any source that can produce a statement: discom/biller portals (UPPCL and others), BBPS partner dashboards, payment-gateway reports, bank statements, and your side — CRM exports, ERP ledgers, Tally, or plain Excel. PDFs and even consistent screenshots are fine; the AI extraction layer is format-trained during onboarding, and new formats are added at no extra charge.
How is this different from just using software?
Pure software leaves you a pile of "unmatched" rows — which is exactly the work you were trying to escape. Our model is AI plus accountable people: the engine clears the bulk, trained analysts resolve every exception with evidence, and a named person signs the report. You receive answers, not a to-do list.
What accuracy can we expect?
The engine typically auto-matches 90%+ of records on clean data; everything it cannot match with certainty goes to human review, and we sample-audit auto-matches continuously. The commitment that matters: no figure reaches your report without either an exact match or a human decision attached to it — with the evidence retained.
Do you need login access to our provider portals?
Only if you want us to pull statements ourselves — read-only or report-download credentials where the portal supports them, logged and revocable. Many clients prefer to email/upload exports on a schedule instead; both work. We never need payment-initiation rights, and we never ask for them.
How fast can we start, and is there a lock-in?
Onboarding is typically one to two weeks: source mapping, format training, one parallel-run month against your existing process to build trust. No long lock-in — monthly billing with 30 days' notice, and your reconciled ledgers and exception history export to you in standard formats whenever you ask.
Can this feed back into our CRM automatically?
Yes — reconciled statuses and exception flags can post back via API, scheduled file drops, or direct integration if we built your CRM (see our SaaS suites). Many clients start with reports and add write-back once the parallel run proves itself.
Quick Query

Drowning in reconciliation? Tell us your volumes.

Tell us what you are building or what is slowing you down — we reply with a clear, honest plan.

  • Response within one business day — usually much faster
  • You talk to engineers, not a sales script
  • Your details stay with us — see our Privacy Policy
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Get Started

Give your team their evenings back.

Send us one sample month — portal export plus your CRM sheet — and we will return a reconciled statement with exceptions flagged, as a working demo.