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Bank reconciliation

Match every payment without searching for it.

The bank statement comes in and the model proposes which open invoice each payment settles, across Dynamics 365, legacy ERPs and bank exports. Your accounting team confirms matches instead of hunting for them. Every match points back to the statement line and the invoice.

Running in production at Bredent Medical, across four European markets.

Proven in production60%less manual entry at Bredent Medical, across four marketsTested on real statements, not a demo file. ↗

Where it slows down

Reconciliation eats the days you need for the close.

  • Line by line

    Every statement line matched to an invoice by hand, every period.

  • Partial and combined payments

    One transfer for three invoices, or one invoice paid in two parts, and nobody wrote down which.

  • References that do not match

    Customers type their own reference, the bank shortens it, the ERP expects another.

  • Several ERPs, several banks

    Each market reconciles in its own system, and the group view waits for all of them.

  • Open items that stay open

    Unmatched payments pile up and reminders go out for invoices that were paid.

  • No trail

    When auditors ask why a payment was booked against an invoice, the answer lives in someone's head.

Proven in production

Tested on real statements, not a demo file.

less manual entry at Bredent Medical, across four markets
60%less manual entry at Bredent Medical, across four markets
European markets on Dynamics 365 and legacy systems, one view
4European markets on Dynamics 365 and legacy systems, one view
match rate on payment reconciliation at a betting and gaming operator
99.25%match rate on payment reconciliation at a betting and gaming operator
transactions per period in that same reconciliation
4.6Mtransactions per period in that same reconciliation

Bredent Medical is named with permission. The match rate comes from a separate production system for an operator we do not name.

Read the Bredent Medical case

What it looks like

Bank reconciliation in 30 seconds

Silent, with captions. What the agent reads, what the rules decide and where a person steps in.

How we start

One bank, one entity, real statements. Then the rest.

  1. 01

    Pick the account

    One bank account and one entity with volume and a person who owns the reconciliation.

  2. 02

    Run it on your statements

    The model proposes matches on last month's real statements, so you see the hit rate before anything goes live.

  3. 03

    Connect it

    To your ERP and bank exports. Confirmation stays with your accounting team; nothing books without them.

  4. 04

    Add accounts and markets

    The next account goes faster than the first. Your team owns every rule.

Works with what your team already runs

  • Dynamics 365
  • SAP
  • NetSuite
  • Legacy and local ERPs
  • Bank exports (MT940, CAMT, CSV)
  • Payment providers
  • Excel and CSV

Why SIEL

We built this for a distributor with four markets and four sets of habits.

Your systems stay
We connect Dynamics 365 and the legacy ERPs instead of migrating them.
AI proposes, people confirm
Every match is a proposal until someone in accounting confirms it.
Traceable
Each match links the statement line, the invoice, the rule or model output and the person who confirmed it.
Fixed fee
Agreed before we start. We tell you when AI is not the right answer.

Start the conversation

Which account takes the longest to reconcile?

Tell us the bank, the ERP and the monthly volume. A senior engineer reads it and replies within two business days.

  • No generic sales sequence.
  • Fixed fee, agreed before we start.
  • We tell you when AI is not the right answer.