Close the Books Without the Manual Middle
Custom AI that reads the documents, codes the transactions, chases the missing paperwork and prepares the workpapers — so your accountants review instead of retype.
How it works
Accounting work is not slow because accountants are slow. It is slow because the inputs arrive as PDFs, photos, bank feeds and half-answered emails, and someone has to make them agree. We build AI that handles the intake, coding and matching inside your existing stack, then hands your team a clean review queue with everything it needs to sign off. The judgment stays human; the keystrokes do not.
Invoice, Bill and Receipt Capture
Read what clients actually send — scanned bills, phone photos, emailed statements, supplier portals — and turn it into structured, validated entries.
- Line-item extraction with tax, currency and multi-page handling
- Supplier matching against your vendor master, including near-duplicates
- Three-way match to PO and receipt where the data exists
- Confidence thresholds that route only uncertain items to a human
Coding and Bookkeeping Automation
Transactions coded to the right account, entity and class using each client's own history rather than a generic ruleset.
- Chart-of-accounts mapping learned per client and per entity
- Recurring journals, accruals and prepayment schedules prepared automatically
- Intercompany and multi-entity allocations applied consistently
- Every posting traceable to its source document and rule
Month-End Close Acceleration
A live close checklist that knows what is done, what is blocked and what needs a person, instead of a spreadsheet and a group chat.
- Task orchestration across preparers, reviewers and entities
- Flux analysis with plain-language explanations of material variances
- Balance sheet reconciliations prepared and evidenced before review
- Close status and blockers visible to partners in real time
Where teams use it
Built for real revenue work.
Bank and Ledger Reconciliation at Scale
Match bank feeds, payment processors and the general ledger across hundreds of client files at once, with unmatched items clustered by cause. Staff work the exceptions, not the entire statement.
Audit and Year-End Preparation
Assemble PBC lists, tie support to trial balance lines and flag missing documentation weeks before fieldwork. Auditors receive a complete package and fewer follow-up requests.
Client Document Chasing
An assistant that tracks what each client still owes, sends the reminders with the specific items named, and files what comes back to the right folder and period. Partners stop being the collection agency.
“We took on nineteen new clients last year without adding headcount, and January was the first year-end where nobody worked a weekend. The capture accuracy was the surprise — it reads receipts our staff struggled with.”
FAQ
Questions, answered.
Does this replace our bookkeepers?
It replaces data entry, not accountants. Firms that deploy it typically keep the same team and take on more clients, moving staff from processing to review and advisory work. Every automated entry is attributable and reversible, and your team sets the confidence thresholds for what gets reviewed.
Will it work with QuickBooks, Xero, NetSuite or Sage?
Yes. We integrate through the platform APIs so entries are posted into your existing ledger rather than a parallel system. Practice management, document storage and payroll tools such as Karbon, SharePoint, Dext and Gusto are integrated the same way. If a system has no API, we work through its import formats.
How accurate is document capture on messy client paperwork?
Accuracy averages around 95% on live client documents once tuned, and low-confidence items are routed to a person rather than guessed. The system improves per client as it sees more of their suppliers and formats. Errors that do occur are visible in the audit trail, so nothing is silently posted.
How is client financial data protected?
The platform runs in your own cloud tenant under SOC 2 controls, with role-based access, encryption in transit and at rest, and per-client data segregation. Client data is never used to train public models. Engagement-level access restrictions and independence requirements are configured before go-live.
Keep exploring
More from the Leadify platform.
Get your close back under a week
Show us one client file and one close checklist, and we will scope a fixed-cost build against your real documents.