LAHS India
2 MonthsProject duration
Invoice-to-filing automationScope
Waste ManagementIndustry
Next.js
TypeScriptOverview
LAHS India, a waste management company, was losing its month-end to reconciliation — the manual, error-prone grind of matching invoices, ledgers, and ERP entries before the books could close. We built them an agentic AI system that runs the finance workflow end to end: it creates invoices, reconciles transactions against their ERP, handles the operational steps in between, and prepares filings — acting on its own, in sequence, the way a finance associate would, but at machine speed and without the month-end crunch. The design principle we held to: an agent that acts, but never blindly. Every write back to the ERP is confirmation-gated, so the system moves fast on the busywork and pauses for a human at the moments that carry real financial consequence.
The Challenge
Month-end close is where finance teams quietly lose the most time, and reconciliation is the bottleneck inside it. Industry benchmarks put the cost in stark terms: cash reconciliation alone consumes between 20 and 50 hours per month for many finance teams, making it the single most time-consuming activity in the close. It's not the reporting that slows teams down — it's everything before it: reconciling fragmented data, aligning upstream systems, and correcting manual errors, and 94% of teams still lean on Excel to do it. The errors are expensive too: manual reconciliation carries a 5–15% error rate on GL balances and unmatched transactions. For a waste management operation running high volumes of recurring invoices across collection routes and contracts, that load only compounds. The team needed a system that could: • Generate and issue invoices without manual data entry • Reconcile transactions directly against their existing ERP — no rip-and-replace • Carry the operational steps between invoicing and filing, not just one slice of them • Prepare filings from clean, reconciled data • Do all of this autonomously, while keeping a human in control of anything that touches the ledger The challenge wasn't automating a single task — plenty of tools do that. It was building one agent that owns the whole chain, invoice to filing, and still earns the finance team's trust.
What We Built
Invoice creation. The agent generates and issues invoices from source data, removing the manual entry that seeds most downstream errors. ERP-connected reconciliation. It matches transactions against the client's live ERP, flagging variances the moment they appear instead of at month-end — turning reconciliation from a monthly fire drill into a continuous background process. Operations in between. The steps that usually fall through the cracks between invoicing and filing are carried by the agent in sequence, so nothing waits on a person to remember it. Filing preparation. Because the data feeding it is already reconciled, filings are assembled from a clean base rather than rebuilt from scratch. Confirmation-gated writes. Every action that changes ERP data pauses for human approval. The agent handles the volume; the human keeps the authority.
Why It Wins
• One agent, the whole chain. Not a point tool for one task — an autonomous system built on LangGraph that runs invoice → reconciliation → operations → filing as a single flow. • Sits on top of the existing ERP. No migration, no reconciliation project of its own. It works with what the client already runs. • Acts, doesn't just suggest. The agent performs the work, not merely flags it. • Trust by design. Confirmation-gated writes mean speed on the busywork and human control on the decisions that matter.
Outcome
We delivered an agentic finance system, built and shipped in two months, that takes LAHS India's month-end reconciliation off the team's plate and runs the invoice-to-filing workflow autonomously — with the ERP untouched and a human in the loop wherever it counts.
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