Source A
Bank, processor, custodian, broker, platform, or operational record.
Financial Reconciliation Automation
Match Financial Records. Resolve Exceptions With Control.
Use financial reconciliation to compare transactions and balances across banks, ledgers, payment providers, investment records, and internal systems. Mimasa uses AI agents and governed workflows to prepare matches, explain differences, and route exceptions.
Keep the source behind every result. Let authorised people review material differences and approve the next step.
Connect records | Match transactions | Explain breaks | Review exceptions | Record closure
Source A · Bank
••47 · Settlement reference
Date · Amount · Currency · Identifier
Source B · Ledger
Entry ••92 · Approved period
Mapped date · Amount · Reference
Proposed Match
Amount and reference align. Date tolerance remains visible.
Review Exception
Evidence is incomplete. Assigned review is required.
Matching Context
Two Sides Of Every Match
Reconciliation starts with two or more views of the same financial event. Fields, timing, labels, and detail may differ.
Source B
Ledger, settlement record, internal file, or approved comparison source.
Match Logic
Fields, tolerances, date rules, grouping logic, and transformations.
Result
Proposed, confirmed, exception, duplicate, missing, or awaiting evidence.
Review
Owner, reason, evidence, comments, approval, and closure status.
A close amount is not always the same transaction. The workflow must retain the evidence behind the proposed match.
Definition
What Is Financial Reconciliation?
Financial reconciliation compares related records to confirm whether they agree. It also identifies differences that need explanation or action.
Records may come from banks, ledgers, payment providers, settlement files, custodians, brokers, or platforms. Automated reconciliation applies configured rules at scale.
Mimasa connects matching with evidence and workflow. It is not an ERP, ledger, bank, processor, custodian, broker, or system of record.
Move Through A Five-Lane Reconciliation Workspace
Ready to Compare
Sources are mapped to the correct period, entity, account, and currency.
Proposed Matches
Rules or AI suggest one-to-one, grouped, or one-to-many matches with their basis.
Exceptions
Missing records, timing gaps, duplicates, amount differences, and unsupported transformations remain visible.
Human Review
An authorised person confirms, requests evidence, changes the reason, or reassigns the item.
Approved Closure
The workflow records the final status, evidence, reviewer, approved action, and completion time.
This structure turns reconciliation automation into controlled work without hiding difficult items behind one completion rate.
Bank And Payment Records
Automate Bank Reconciliation Without Hiding Differences
Bank reconciliation compares bank activity with internal records. Timing, fees, missing entries, duplicates, reversals, and mapping errors can create differences.
Bank account reconciliation can map accounts and periods, apply exact rules, prepare AI-assisted suggestions, and preserve evidence.
Bank Reconciliation Automation With Human Review
Bank reconciliation automation should expose rule changes and unusual matches. Automated bank reconciliation must distinguish a suggestion from a confirmed result.
AI bank reconciliation can interpret varied descriptions. Bank statement reconciliation remains dependent on a verified source method.
Match Payments, Cards, And Settlements
Payment reconciliation connects payment events with processor, settlement, bank, merchant, and internal records.
- 1Payment event
- 2Processor record
- 3Settlement batch
- 4Bank movement
- 5Internal record
- 6Reviewed exception
Payment event → Processor record → Settlement batch → Bank movement → Internal record → Reviewed exception
Automated Payment Reconciliation
Automated payment reconciliation applies configured identifiers and tolerances. Payment reconciliation automation creates an exception when records are absent.
Credit Card Reconciliation
Credit card reconciliation compares masked activity, fees, refunds, chargebacks, batches, settlements, and internal records.
Evaluate Payment Reconciliation Software
Payment reconciliation software should preserve the path to the final record. The processor remains responsible for payment and settlement functions.
Cash And Data
Make Cash Reconciliation Ready For Treasury Review
Cash reconciliation compares bank accounts, internal books, settlement sources, and approved treasury data.
Automated cash reconciliation can apply date and currency rules, identify missing movements, separate timing differences, and route unresolved items.
Treasury teams retain cash decisions. Liquidity, positioning, forecasting, exposure, and scenarios belong to treasury intelligence.
Data Controls
Connect Data Reconciliation With Financial Meaning
Data reconciliation checks whether related data agrees across sources. A technical field match may not confirm the correct financial relationship.
- 1. Source control: Where did the record come from?
- 2. Mapping control: How was the field, entity, or account aligned?
- 3. Match control: Which rule or AI-assisted method linked the records?
- 4. Review control: Who confirmed the result or approved the exception?
Ledger And Investments
Review Ledger And Account Reconciliation Carefully
Account Reconciliation
Account reconciliation supports preparation, matching, explanation, review, and sign-off. The account reconciliation process remains governed by finance policy.
General Ledger Reconciliation
General ledger reconciliation checks balances against subledgers and evidence. Ledger reconciliation can expose missing or duplicate entries.
Balance Sheet Reconciliation
Balance sheet reconciliation is a broad accounting control. Finance & Accounting retains primary ownership of this cross-industry work.
Intercompany Reconciliation
Intercompany reconciliation compares related entries across entities. It may need mapping, currency rules, timing treatment, and agreed ownership.
Investment Reconciliation
Investment reconciliation compares approved positions, cash, trades, fees, income, and related records. Mimasa does not provide investment advice.
Securities Reconciliation
Securities reconciliation can compare trade, position, cash, settlement, and reference data. An operations specialist confirms the cause and resolution.
Exception Anatomy
Understand Why A Reconciliation Break Happened
Every unmatched item needs a clear reason, supporting evidence, owner, and controlled next step.
| Exception Type | Workspace Evidence | Possible Next Step |
|---|---|---|
| Missing record | Expected source, period, identifier, and absent side | Request the missing record |
| Timing difference | Dates, cut-off rule, and expected posting window | Monitor until the approved review date |
| Amount difference | Both amounts, currency, tolerance, and transformation | Check fee, tax, FX, or source data |
| Duplicate | Candidate records and shared identifiers | Review before exclusion or reversal |
| Reference conflict | Conflicting account, transaction, or entity references | Correct mapping through approval |
| Grouping difference | Records behind a proposed grouped match | Confirm logic and completeness |
| Unsupported match | Low confidence or missing evidence | Send to an authorised reviewer |
| Process break | Failed source, mapping, rule, or downstream step | Assign an owner and retry safely |
AI can draft an evidence-based explanation. The reviewer decides the final reason and action.
Explainable AI
Use AI For Reconciliation With Explainable Matches
AI reconciliation can help with varied descriptions and complex grouping. It should not operate as an unexplained score.
Transaction matching software finds links. Mimasa adds source evidence, exception routing, approvals, and review history.
AI account reconciliation supports candidate matching and summary preparation. AI reconciliation software must follow approved account and review rules.
Build Governed AI AgentsIntake And Mapping Agent
Checks source, period, entity, account, schema, and required fields. It flags incomplete input.
Matching Agent
Applies exact, tolerant, grouped, and AI-assisted methods. It exposes the basis of each proposal.
Exception Agent
Collects related evidence and drafts a concise break summary without inventing unsupported reasons.
Review Coordinator
Routes items, monitors due dates, requests approvals, and records completion within assigned permissions.
Evaluation
What Should Reconciliation Software Provide?
Buyers may compare reconciliation software, reconciliation tools, and specialist platforms. Strong solutions connect matching with evidence and action.
Account reconciliation software and account reconciliation tools often focus on finance controls. Bank account reconciliation software focuses on bank-to-book comparisons.
Financial reconciliation software must not hide the difference between a proposal and an approved result.
- Ingest authorised records from several systems.
- Map entities, accounts, dates, currencies, and identifiers.
- Support exact, tolerant, and grouped matching.
- Explain AI-assisted match proposals.
- Detect duplicate and missing records.
- Preserve original and transformed values.
- Route exceptions by type, owner, and materiality.
- Separate preparation, review, approval, and closure.
- Trace each result to sources and rules.
- Test rule changes before release.
- Create useful dashboards and review packs.
- Support the organisation's chosen deployment model.
Methods
Compare Automated And AI Reconciliation Software
Automated reconciliation software applies configured rules. AI reconciliation software can assist with descriptions, grouping, and exception summaries.
| Capability | Rules-Based Automation | AI-Assisted Reconciliation | Required Control |
|---|---|---|---|
| Exact identifiers | Match agreed fields | Not required for a clear match | Validate fields and sources |
| Date or amount tolerance | Apply configured thresholds | Rank plausible candidates | Show the tolerance used |
| Varied descriptions | Normalise or use a lookup | Compare approved text context | Expose supporting fields |
| One-to-many match | Apply a grouping rule | Suggest a candidate group | Confirm completeness and totals |
| Exception reason | Use an explicit rule outcome | Draft from source evidence | Review material items |
| Next step | Route by configured status | Suggest a workflow path | Check permission and approval |
Use rules when the relationship is clear. Use AI where judgement helps. Keep human review where consequences matter.
Controls
Build Account Reconciliation Automation Around Controls
Account reconciliation automation can assign preparers, reviewers, due dates, evidence, and sign-offs without removing ownership.
Automated account reconciliation applies trusted rules to known records. New sources and material exceptions need stronger review.
- Owner and reviewer
- Source readiness
- Matching status
- Evidence and comments
- Proposed adjustments
- Approval history
- Reopened items
- Final completion status
Operations ViewExplore Visualisation And Dashboards
Monitor Reconciliation Work Without Invented Metrics
A configurable view should show operating states without fabricated performance values.
Records received and awaiting a source
Proposed and confirmed matches
Exceptions by type and materiality
Items awaiting review or approval
Ageing by owner, process, and period
Duplicate and missing-record counts
Match proposals changed by reviewers
Reopened reconciliations
Rules or mappings with repeated breaks
Completion by entity, account, or source
Evidence completeness
Workflow errors and retries
Existing Systems
Connect Reconciliation With Existing Financial Systems
Mimasa works around existing systems where access and integration are configured.
It does not become the authoritative financial system because it connects approved records.
- Banks and account-data sources
- General ledgers and subledgers
- Enterprise resource planning systems
- Payment processors and gateways
- Settlement and clearing records
- Merchant and platform reports
- Custodian and broker records
- Investment and fund-operation systems
- Data warehouses, lakes, files, and spreadsheets
- Case, approval, and reporting systems
Governance
Govern Every Match And Adjustment
Preserve source, amount, currency, date, identifier, rule, and review status for every material result.
- Role-based access
- Governed business definitions
- Source-linked matching rules
- Reviewable data snapshots
- Separated preparation and approval
- Agent tool limits
- Human checkpoints
- Override and closure logs
Material journals, adjustments, write-offs, settlement actions, and closure require authorised control. Mimasa does not provide accounting, tax, legal, or investment advice.
Safe Adoption
Implement Reconciliation Automation In Safe Stages
01
Choose One Bounded Reconciliation
Start with known sources, clear owners, repeatable rules, and a measurable exception process.
02
Map The Records
Define entities, accounts, identifiers, dates, currencies, signs, periods, and expected relationships.
03
Set Match And Review Rules
Agree exact matches, tolerances, grouping, materiality, approvals, and prohibited actions.
04
Test Difficult Examples
Test missing records, partial settlements, duplicates, reversals, fees, and mapping changes.
05
Release With Human Review
Review proposals, exceptions, overrides, and failures while the first scope stays controlled.
06
Improve From Evidence
Use confirmed causes and reviewer corrections to improve mappings, rules, and workflow design.
Why Mimasa AI
Why Financial-Services Teams Use Mimasa
One Workspace Across Records
Connect bank, ledger, payment, cash, settlement, and investment information without replacing source systems.
Matching With Evidence
Show why records were linked and which authorised data supports the proposal.
Exceptions Become Assigned Work
Route each break with its reason, evidence, owner, deadline, and review status.
AI Within Clear Limits
Use AI for ambiguity and summaries while people control material outcomes.
Reviewable History
Preserve source data, rules, overrides, approvals, and final status.
Flexible Deployment
Operate in cloud, private-cloud, or on-premises environments based on enterprise needs.
Related Workflows
Related Financial-Services Workflows
Payment Operations And Exception Management
Investigate payment and settlement exceptions after matching.
Treasury And Cash Intelligence
Analyse liquidity, forecasts, exposures, and maturities.
Investment Research And Portfolio Intelligence
Research investments using approved information.
Financial Audit And Control Testing
Collect evidence and track configured control findings.
Banking Document Processing
Extract and validate financial information from statements.
Frequently Asked Questions
Clear answers about financial reconciliation, AI-assisted matching, exceptions, controls, and existing systems.
Get Started
Turn Reconciliation Breaks Into Controlled Resolution
Connect financial records, AI-assisted matching, evidence, exceptions, and human review. Start with one bounded reconciliation and build from verified results.