


About the client
The client is a mid-market financial services firm operating across multiple subsidiaries and bank accounts. Their finance team was responsible for reconciling thousands of daily transactions across several banks, accounting systems, and internal ledgers. Manual reconciliation was slowing down month-end close, increasing error rates, and pulling senior accountants into low-value matching work instead of analysis and reporting.
95%
Transactions Matched
80%
Faster Closing
10x
Team Efficiency
Mid-Market Finance Group
United Kingdom
Finance
Problem Statement
As transaction volume grew across entities and bank accounts, the finance team's manual reconciliation process became a serious bottleneck. Spreadsheets were error-prone, exceptions piled up unresolved, and audit trails were inconsistent, putting both reporting accuracy and compliance at risk.
Spreadsheet-Driven Process
Reconciliations relied on fragile Excel files copied across teams, with no shared source of truth.
Slow Month-End Close
Reconciling thousands of entries by hand pushed close cycles to two weeks or more every month.
High Error Rate
Manual matching and copy-paste mistakes led to misposted entries and frequent restatements.
Weak Audit Trail
Reviewers struggled to evidence who matched what, when - creating friction during audits.
Key Challenges


The Solution
Ouranos Technologies built a cloud-based reconciliation platform that ingests bank feeds and ledger data, automatically matches transactions using configurable rules and ML-assisted suggestions, and surfaces only true exceptions to the finance team. Every action is logged with a full audit trail, and dashboards give controllers real-time visibility into close progress.
Key Results
Faster Close
- Reduced month-end close from 12 days to under 3 days.
- Eliminated weekend overtime during reporting cycles.
- Freed senior accountants to focus on analysis and forecasting.
Higher Accuracy
- Auto-matched 95% of bank transactions on day one of go-live.
- Cut posting errors by over 90% versus the spreadsheet baseline.
- Standardized matching rules across every entity and bank account.
Audit & Control
- Every match, override, and adjustment is timestamped and attributed.
- Built-in maker-checker workflow for high-value exceptions.
- Auditors get read-only access to a complete, exportable history.
Our Approach
01. Discovery & Process Mapping
- Audited existing reconciliation workflows across entities and banks
- Cataloged transaction types, common exceptions, and rule patterns
- Identified compliance and audit-trail requirements
02. Matching Engine Design
- Designed deterministic rules for high-confidence one-to-one matches
- Layered ML-assisted suggestions for many-to-one and fuzzy matches
- Defined exception categories and escalation routing
03. Integration & Rollout
- Integrated bank feeds (Plaid + direct SFTP) and ERP ledger APIs
- Rolled out per entity with a parallel-run period for confidence
- Trained finance team on exception handling and reporting dashboards

Key Modules
Reconciliation Engine
- Rule-based and ML-assisted matching
- Multi-currency and multi-entity support
- Configurable match tolerance and date windows
- Bulk import for historical backfills
Exception Workflow
- Auto-routing of unmatched items to owners
- Maker-checker approval for adjustments
- Inline notes and attachment support
- SLA tracking and aging reports
Controller Dashboard
- Real-time close progress by entity
- Match-rate and exception KPIs
- Aging analysis and trend charts
- Exportable audit-ready reports
Technologies Used
- Frontend: React.js + TypeScript
- Backend: Node.js + PostgreSQL
- Integrations: Plaid, SFTP bank feeds, NetSuite & QuickBooks APIs
- Infra: AWS (ECS, RDS, S3) with full audit logging
Mid-Market Finance Group
Client Thoughts
Reconciliation used to define our month-end. Now it runs in the background and our team only touches the items that actually need judgment. We close faster, our auditors are happier, and our controllers finally have time to think about the numbers instead of just chasing them.
Mid-Market Finance Group Team

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