Illustrative concept project — this is not a verified client case study. The project details and outcomes shown here are not claims about completed client work.
LedgerlyAI Bookkeeping Automation Suite
An AI bookkeeping engine that reconciles transactions, flags anomalies and generates month-end reports in minutes instead of days.
The Project
Bookkeepers were drowning in repetitive work: matching transactions, chasing receipts and manually preparing reports. Ledgerly aimed to let AI handle the grind while accountants handle judgment.
We built an automation engine that pulls bank and platform data, matches it against source documents using fuzzy AI matching, and flags anomalies for human review with a clear audit trail on every decision.
The suite closes the month in minutes, produces board-ready reports automatically, and gives accountants back their weekends.
Challenge, Solution & Results
How we approached the problem, what we built and the outcomes we're tracking.
The Challenge
Financial data tolerates no hallucination. The AI had to be highly accurate, explainable and constrained with a human review path for anything below confidence thresholds, all inside a strict audit trail.
Our Solution
A deterministic reconciliation core with AI assist rather than AI authority: LLM-powered matching and categorisation gated by confidence scores, rollback-safe writes, and full provenance tracking on every journal entry.
Results
Verified outcome metrics are not available for publication yet.
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