Description
This managed service captures receipts and supplier/payment slips, extracts key data with OCR and uses AI to suggest or apply general ledger (GL) codes, VAT treatment and cost-centre allocations. It operates continuously and is configured to post suggested entries or create coded records for review in your accounting or expense platform.
Implementi.ai configures the connectors, trains the coding rules with your chart of accounts and maintains the automation so your team spends less time on routine coding, exception handling and rework. Final posting behaviour and approval gates are always agreed before launch.
The problem
Many finance teams still process receipts and expense claims with manual data entry, spreadsheet rules or inconsistent coding conventions. Incoming receipts arrive by email, mobile uploads, card feeds and supplier portals in mixed formats; finance staff spend hours opening images, reading line items, and choosing GL codes. As volume grows this creates a backlog, increases the risk of miscoding, delays month-end close and forces managers into ad-hoc reclassification work. Incomplete or inconsistent VAT and cost-centre allocation also complicates reconciliation and reporting.
What this solution automates
This product automates the end-to-end capture and initial coding of receipts and expense documents, applies your chart-of-accounts rules, and routes exceptions for human review. It can operate in automatic-posting or suggestion-and-approve modes depending on your controls.
- Automated receipt ingestion from email, mobile uploads, corporate card feeds and CSV exports.
- OCR extraction of vendor, date, amounts, VAT and line items.
- AI-driven GL code and cost-centre suggestion using your chart of accounts and historical examples.
- Automatic creation of draft accounting entries or expense claims in the target system.
- Exception routing for missing data, unusual amounts or low-confidence codings.
- Ongoing model tuning and rule updates as new vendors or expense types appear.
What your business gains
- Reduced manual effort. Automates repetitive receipt capture and initial coding so finance staff can focus on exceptions, reconciliations and value-added tasks.
- Faster month-end close. Early coding and draft entries reduce backlog and speed up reconciliation cycles by ensuring entries are prepared ahead of billing and close windows.
- Improved coding consistency. Centralised rules and an AI assistant enforce consistent GL selection and cost-centre allocation across submitters and teams.
- Lower error and rework risk. Structured extraction and confidence scoring surface likely miscodes and route only true exceptions for human review.
- Maintained operational continuity. The managed subscription includes monitoring, error handling and maintenance so the automation remains aligned with changing charts of accounts or policies.
A practical use case
For a mid-sized consultancy with dozens of monthly employee expense submissions and a corporate card program, finance receives receipts by email, chat and mobile uploads. The team currently spends multiple person-days per month reconciling and manually coding transactions into the accounting system. After implementing this assistant, receipts are captured automatically, suggested GL codes and VAT treatments appear as draft entries, and only low-confidence or policy-exception items are routed to the finance team for approval. The result is a smaller coding backlog, clearer audit trace for exceptions and faster readiness for month-end reconciliations.
Who is it for?
- Finance teams in mid-market companies that process 200–5,000 receipts per month and need to scale without growing headcount.
- Companies with a defined chart of accounts seeking consistent GL and cost-centre allocation across distributed teams.
- Organizations using cloud accounting or expense platforms that want to reduce time spent on data entry and exception handling.
What is included in the monthly service
The monthly subscription covers the ongoing operation and monitoring of the capture-and-coding automation plus maintenance and tuning. Implementi.ai configures connectors, runs the AI extraction and coding logic, monitors performance, and fixes automation errors as they occur.
- Connection and integration management with agreed systems.
- AI processing for OCR and coding suggestions.
- Monitoring of automation and handling/fixing errors.
- Reasonable configuration updates to keep the coding rules aligned with your chart of accounts.
When this solution may not be necessary
- Very small teams with fewer than ~50 receipts per month may find a simpler receipt-capture app more cost-effective than a managed automation service.
- Companies without a stable chart of accounts or with extreme custom bookkeeping practices where manual specialist judgment on every item is required.
How it works
- Ingest receipts. The service collects receipts and invoices from configured sources (email, mobile uploads, card feeds, CSV) and normalises them into a processing queue.
- Extract data. OCR extracts vendor name, dates, line amounts, VAT and reference numbers; the system parses multi-line items where available.
- Suggest GL codes. An AI model combines vendor history, line item text and your chart of accounts rules to propose GL codes, VAT treatment and cost-centre allocations with confidence scores.
- Apply or stage entries. Depending on agreed controls, high-confidence suggestions are applied to create draft accounting entries in your system or shown as suggestions for reviewer approval.
- Route exceptions. Low-confidence items, missing fields or policy exceptions are routed to defined approvers with the extracted data and suggested actions.
- Post and reconcile. Once approved or automatically posted, entries are available for reconciliation and reporting in the accounting system; matching to card feeds is continuous.
- Monitor and tune. Implementi.ai monitors performance, updates coding rules, and retunes AI models to reduce future exceptions and improve accuracy.
Example workflow
For example, imagine a company that receives 600 receipts per month from employees and corporate cards. A receipt arrives by email as a photo: the service extracts vendor, date, line items and VAT. The AI compares vendor history and line-item keywords against the company’s chart of accounts and suggests a GL code and cost-centre with 92% confidence. Because the confidence exceeds the agreed threshold, the system creates a draft expense entry in the accounting system. If the confidence had been low or the amount unusually large, the receipt would be routed to a finance approver with the extracted fields and the suggested coding. Approved entries are then available for reconciliation and reporting without manual data entry.
Integrations
Typical systems
Typical systems that can be connected include cloud accounting platforms (for example Xero, Sage Intacct, NetSuite), expense platforms (for example Expensify, SAP Concur), corporate card feeds from bank portals, and file stores or email systems where receipts are uploaded. Other systems such as Google Sheets or housekeeping databases can be used as auxiliary sources for vendor mappings and cost-centre lookups. These are illustrative examples; final compatibility is confirmed before launch.
Connection methods
Common connection methods for this product are vendor APIs or native integrations (accounting and expense platforms), secure file transfer or SFTP for batch CSV exports, email parsing for receipt-forward workflows, and Google Sheets or CSV imports for mapping tables. We agree the preferred methods during scoping and confirm compatibility prior to implementation.
What we need from your company
Before launch we agree the systems to connect, sample receipts and a representative chart of accounts, typical approval thresholds and exception routing rules. We also need access method details (API credentials, SFTP endpoints or email routing), examples of unusual vendors or expense types, and a list of users who should receive exception alerts. Compatibility and access method are confirmed before implementation.
FAQ
How accurate is the GL coding?
Accuracy depends on the quality of historical data and clarity of receipts. We tune models using your chart of accounts and historical examples; high-confidence suggestions can be applied automatically while low-confidence items are routed for review.
Which accounting systems can you connect to?
We commonly connect to cloud accounting and expense platforms via API, and also work with CSV, SFTP or email exports. During scoping we confirm the exact systems and access methods required.
What happens to low-confidence items?
Low-confidence or policy-exception items are routed to designated approvers with extracted data and suggested codes. Approver decisions feed back into the model to improve future suggestions.
Can you post entries automatically?
Yes — automatic posting is available if you specify it. Many customers prefer a staged approach where draft entries are created and reviewed before final posting; we implement the behaviour you agree during scoping.
How is the service maintained?
The monthly subscription includes monitoring, error handling and reasonable configuration updates. Implementi.ai maintains connectors, tunes extraction and coding logic, and fixes automation errors as part of the managed service.
Price
The activation fee covers the initial setup, implementation and launch of the agreed automation scope.
The monthly subscription covers the ongoing operation, maintenance and management of the automation service.
The exact scope and final monthly subscription are confirmed before launch.
Ready to automate this process?
Tell us which accounting and expense platforms you currently use and the typical monthly receipt volume.
We’ll confirm how this solution can be connected, its scope and the final monthly subscription.
| Email uscontact@implementi.ai | Call us+48 660 983 178 |
