Invoices and receipts arrive, get extracted, structured, validated, and land ready to import into your accounting software. The workflow that consumed 60–70% of a working day now runs as code. Client data never leaves your perimeter.
Every invoice is opened, read, and retyped into the accounting software by hand. For many advisory teams that's 60–70% of a working day, every day.
Documents are ingested, extracted, and structured by code. The model is consulted only when a document is malformed or ambiguous. Entries land ready to import — each one traceable to its source.
Monday morning at a multi-service advisory firm. The shared inbox holds a weekend's worth of client documents: PDF invoices, photographed receipts, statements forwarded from forty different clients in forty different formats.
The old routine: someone opens each one, reads it, and keys the fields into the accounting software. Vendor, amounts, VAT, due date, ledger account. It consumes 60–70% of the working day of the people you hired for their tax and accounting judgment.
The new routine: by the time the team sits down, the batch is extracted, structured, validated, and waiting in a review queue. A leading Spanish multi-service advisory firm runs this today — on its way to becoming agent-native.
Client invoices carry tax IDs, salaries, contract terms, bank details. An advisory firm holds them under strict confidentiality obligations — some contractual, some regulatory. None of it can be pasted into a consumer chatbot running on someone else's cloud.
Generic OCR tools don't solve it either. They produce fields somebody still has to check, correct, and rekey into the accounting software — so the manual day survives, just with an extra screen in the middle.
So the work stays where it has always been: with the people you hired for their tax, labor, and accounting judgment, spending most of the day as typists.
Inside your firm's branded application, ingestion, extraction, structuring, and validation run as deterministic code. The model is invoked only where judgment is needed — a malformed scan, an ambiguous line item. Everything else is repeatable, testable, and traceable.
Every workflow runs inside a three-layer harness. Security wrapped tight around the model, so it touches only what the flow hands it. Preconfigured infrastructure — cloud, private cloud, or on-premise — so the platform runs where your obligations require. And on top, the flow definition itself: your firm's process, expressed as code.
That's why the confidentiality question has a structural answer instead of a policy answer. Tax IDs, contracts, and payroll data never leave the perimeter — not because a policy forbids it, but because the architecture gives them no path out.
And because the workflow is code, every entry is reproducible. When a client or an inspector asks where a number came from, the answer is one click: the source document, the extraction, the validation, the import.
The invoice pipeline is the entry point, not the destination. Tax, labor, and accounting practices become modules of the same branded application — same data, same perimeter, same review queues. Rollout runs the way the platform does: a focused pilot on the highest-volume workflow, weekly demos, then expansion. The knowledge stays in-house — the firm ends up owning its own agentic operating system, not renting someone else's.
The share of a working day that document entry used to consume, returned to client work.
Extraction is code. Nobody keys a vendor name, an amount, or a date by hand.
Every entry links back to its source document. Review is a click, not a search.