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dharsi Recon

AI-Powered Reconciliation You Can Trust

dharsi Recon is an automated transaction matching and reconciliation platform built for any team that needs to match, validate, and reconcile data across systems.

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What Recon Solves

A clearer, faster, and fully traceable approach to reconciliation.

The Problem

Teams across finance, operations, and compliance are losing valuable time to spreadsheets, fragmented data sources, manual transaction matching, and unclear exceptions. Traditional tools are non-traceable, inflexible, and unable to scale.

The Solution

dharsi Recon replaces these with automated reconciliation that standardises incoming data, applies customised matching logic, and clearly flags exceptions — with every step fully traceable and auditable.

Why dharsi Recon

Audit-grade, fully traceable reconciliation built for teams that require predictability and confidence.

Deterministic, rules-based (no black-box decisions) reconciliation.
Configurable workflows owned by business teams, not IT.
AI-assisted matching with full traceability.
In-built audit evidence on each match, exception, and approval.

A Comprehensive Reconciliation Platform

Designed to handle complex data environments with accuracy, control, and full audit transparency.

Multi-source Ingestion

Import files, export files, and structured feeds — with validation and standardisation handled automatically.

Reconciliation Rules Engine

Define exact match, partial match, tolerance levels, priority sequences, and rule hierarchies through a flexible rules-based engine.

Advanced Transaction Matching

Supports one-to-one, one-to-many, and many-to-one matching across large-scale datasets.

Exception Management Workflow

Flag unmatched transactions, resolve them manually where needed, and maintain full audit control throughout.

Audit Trail & Reporting

View summary-level and line-level reports, including complete traceability, rule versioning, and history of decision-making.

Role-Based Access Control

Dedicated access levels for administrators, analysts, reviewers, and auditors.

Use Cases

Automated Bank Reconciliation

Compare ERP, payment gateway, or ledger data against bank statements with minimal human intervention.

Intercompany & Ledger Reconciliation

Process complex cross-entity matching with rule-configurable tolerance logic.

High-Volume Transaction Matching

Accurately and consistently reconcile thousands or millions of transactions.

Measurable Business Outcomes

Lower month-end pressure and shorter close cycles
Reduced reconciliation risk through consistent, rules-based execution
Better audit confidence through audit trail reconciliation reporting
Minimal reliance on manual checks and spreadsheets
Full visibility into exceptions and resolution status

Ready to Automate Your Reconciliation?

Tell us your reconciliation use case and data sources — we'll map the quickest path to value.

Request a Demo