HealthcareComplex automationSeveral jobs working together: multi-stage pipelines with state, branching on rules or AI decisions, approvals or escalations, 4+ systems, AI agents that act, or reconciliation across sources. Usually rolled out in stages.

Insurer payouts reconciled overnight

For: Multi-branch dermatology chain

Typical impact

Month-end close in 1 day, not 9

Nightly flows now match card settlements, insurer remittances, and cash entries from five branches against the practice ledger. Clean matches clear automatically and mismatches land on a short morning exception list — turning month-end close from a nine-day forensic project into one day.

Typical results

96%

Transactions auto-cleared

15 min

Morning exception review

5

Branches reconciled nightly

Figures reflect typical results for this kind of automation.

The challenge

Payments arrived from every direction — card processors, insurer remittances, cash drawers at five branches — and none of it matched the ledger without manual detective work. Month-end close swallowed nine days, insurer underpayments hid inside the noise for months, and the finance manager could never say with confidence what any branch actually earned.

Before and after

Before With the automation

Month-end close

−89%
9 days
1 days

Unmatched transactions per month

−91%
400 items
35 items

Reconciliation work per week

−83%
12 hrs
2 hrs

The automation

We built nightly Make flows that pull card settlements, insurer remittance files, and cash entries from all five branches and run a three-way match against the ledger — by amount, date, patient, and claim reference. Exact matches auto-clear and post; everything else lands on a morning exception list grouped by likely cause, from partial insurer payments to duplicate charges. A live dashboard shows each branch's reconciled revenue, and underpayments are flagged the day they arrive.

How it works

  1. 01

    Nightly pull

    After close, flows pull card settlements, insurer remittance files, and cash entries from every branch.

  2. 02

    Three-way match

    Each payment is matched to ledger entries by amount, date, patient, and claim reference.

  3. 03

    Clean matches cleared

    Exact matches auto-clear and post to the ledger without a human touch.

  4. 04

    Exceptions triaged

    Mismatches land on a short morning list, grouped by likely cause — partial payments, duplicates, missing claims.

  5. 05

    Morning review

    The bookkeeper works a fifteen-minute exception list, and month-end becomes a formality.

Starts from

  • Card settlements
  • Insurer remittances & cash

Delivers

  • Auto-cleared matches
  • Morning exception list
  • Branch finance dashboard

The impact

Around 96% of transactions clear automatically overnight, and the bookkeeper's morning exception review takes about fifteen minutes. Month-end close drops from nine days to one, insurer underpayments are caught and disputed within days instead of quarters, and recovered shortfalls often cover the cost of the build early on.

Questions about this automation

How are payments matched to the ledger?

Every night after close, Make flows pull card settlements, insurer remittance files and cash entries from each branch. Each payment is compared with ledger entries by amount, date, patient and claim reference. Exact matches clear and post automatically, and anything that does not line up moves to the morning exception list.

What does the morning exception list show?

The list groups unmatched items by likely cause, such as partial insurer payments, duplicate charges or a claim with no matching payment. Each line shows the source records side by side, so the bookkeeper can resolve it quickly. Insurer underpayments are flagged on the day the remittance arrives so they can be disputed early.

Which systems need to be connected?

The flows need access to the card processor's settlement reports, insurer remittance files, each branch's cash records and the accounting ledger. A dashboard then reads the reconciled results per branch. Because it runs nightly across several sources, this is a multi-step build, usually rolled out in stages, often one branch at a time.

Healthcare

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