AI Document Automation & Data Extraction

Template OCR reads fixed zones on a page, so it breaks when a supplier changes layout. RPA repeats clicks and keystrokes in a fixed order. AI document automation understands the content: it finds the invoice number wherever it sits, reads a free-text email, applies your business rules and decides what to do, including when to hand a document to a person. In most real workflows the three are combined: AI for reading and judgement, automation for writing the data into your systems.

Anything your team currently reads and retypes: supplier invoices, receipts, purchase orders, delivery notes, bank statements, contracts, application forms, ID documents for KYC, and free-text emails. Scanned images and photos taken on a phone are handled with AI OCR, so documents do not need to be "clean" PDFs.

We connect to the accounting, ERP and CRM tools businesses in Mauritius actually run (for example Sage, QuickBooks, Xero, Odoo, SAP Business One, Microsoft Dynamics, Salesforce, HubSpot, Google Workspace and Microsoft 365), as well as any in-house system with a database or API. If a tool has no API, we automate it through its web interface.

Extraction is validated against your business rules (e.g. totals must equal line items, VAT numbers must be valid, supplier must exist). Every field carries a confidence score; anything below your threshold is routed to a person for a one-click review instead of being written to your system. Over time, your corrections refine your own private model on your documents; they never train public models.

Yes. Documents are processed in an environment you control (your own servers, or a region-locked cloud tenant) and are never used to train public AI models. Access is role-based and every action is logged, aligned with the Data Protection Act 2017 in Mauritius and GDPR for clients with EU data.

A single workflow (for example supplier invoices into your accounting software) typically goes live in 3–6 weeks: one week to map the process and collect sample documents, two to four weeks to build and test with your real data, then a supervised launch where a person reviews every result before we switch to automatic mode. The timeline is confirmed in your fixed written quote.

No. Document control software is about storing files, versions and approvals. Document automation is about reading the documents that come in and getting the data into your systems. The two sit next to each other, and the needs often overlap: if you need version history, approvals or a trail an auditor can follow, tell us at the start so the workflow is designed for it and it is scoped in the written quote. For law firms, accounting and audit firms and other regulated businesses, our privately deployed assistants are built with role-based access and full query logs.

We do not publish a price, because the work depends on the document types, their volume and variety, the systems to integrate and how much validation you need. Integrating a tool with a documented API is not the same job as automating a system that has none. We start with a free process audit on your real documents and give you a fixed written quote after a free discovery call, usually scoping one workflow first so you can judge the results before extending it.

That is what we recommend. Pick the process that hurts most, usually supplier invoices or a shared inbox, run it in supervised mode where a person approves every result, and compare it with how the team works today. Once it earns trust it moves to automatic and the next document type is added. You own what we build, and we maintain and extend it afterwards.