AI-ASSISTED AUTOMATION · Finance & Accounting

Reconcile bank transactions with receivables faster.

Match bank transactions against open receivables and isolate ambiguous payments before posting.

  • Import bank and ledger records.
  • Propose matches from amounts and references.
  • Queue exceptions for review.

Tell us what you need; we will define the scope and setup steps with you.

Explore the workflow
Bank & Receivables ReconciliationExample workspace
Review an ambiguous bank collectionIllustrative workspace
One payment may settle several invoices
Input
Bank transaction and outstanding invoice lines
Action / check
Compare amounts, references and possible allocation
Output
A payment allocation proposal awaiting authorization
Source: Bank transactions and open receivable records
Bank entry ingestion
Candidate invoice matching

KEY FEATURES

What this product will handle for your team.

Practical capabilities with a clear role in your workflow.

Bank entry ingestion

Import bank and ledger records.

Candidate invoice matching

Propose matches from amounts and references.

Reconciliation exceptions

Queue exceptions for review.

USE CASES

How could this fit your day-to-day work?

Explore the need, the proposed approach and your team's role.

SELECTED USE CASE

A bank transfer with a poor reference

  1. 01
    THE NEED

    An incoming bank transfer has an incomplete reference and cannot be confidently matched.

  2. 02
    AI APPROACH

    Compare amount, date and customer context, propose possible invoices and seek approval for ambiguity.

  3. 03
    NEXT STEP

    Deliverable: Match candidates and review exceptions. Success metric: Reconciliation hours.

YOUR QUESTIONS

What to know before implementation.

Review the product scope, connection requirements and approval points.

How does this solution work?

Receivables stay open when bank deposits cannot be matched to invoices.

Source and need

An incoming bank transfer has an incomplete reference and cannot be confidently matched.

Could an incorrect match post to accounting?

Ambiguous or multi-invoice matches enter an exception queue for authorized approval.

What is included in the scope and outputs?

Deliverable: Match candidates and review exceptions. Success metric: Reconciliation hours.

Deliverable: A proposed multi-invoice allocation awaiting approval.

Payment actions and ledger postings require approval in the authorized system or by designated staff.

How do quoting, setup and connections work?

Let’s define the scope together.

Workflow setup, integration assessment for suitable systems, testing, monitoring and ongoing management. Core deliverable: Match candidates and review exceptions.

Bank open data or CSV, accounting API and payment remittance evidence

Which steps belong to AI and your team?

Analysis and workflow

Compare amount, date and customer context, propose possible invoices and seek approval for ambiguity.

Proposed output

Deliverable: Match candidates and review exceptions. Success metric: Reconciliation hours.

Team review

Authorization, approval steps and exception owners are agreed with your team during setup.

Business rules

Payment actions and ledger postings require approval in the authorized system or by designated staff.

How are data, access and security handled?

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What data and systems are needed for bank entry ingestion?

Setup reviews access to Bank open data or CSV, accounting API and payment remittance evidence. Data scope, permissions and transfer methods depend on the client environment; a ready-made connector is not assumed.

OTEMATIK · NEXT STEP

Let’s define the right scope for your business.

Share your current process and required connections. Our team will help define the implementation scope and next steps.

AI-ASSISTED AUTOMATION

Tell us what you need to implement.

Tell us what you need and how your team works today. We will review scope, required connections and implementation steps with you.

Inquiry subject: Bank & Receivables Reconciliation

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Bank & Receivables ReconciliationRequest a quote and setup