Solutions
Document AI
AI and machine learning that automatically read, extract and understand information from your documents - invoices, forms, contracts, emails and scanned paperwork - without manual data entry.
What is Document AI?
Document AI (also known as Intelligent Document Processing or Intelligent Capture) uses artificial intelligence and machine learning to automatically read, extract and understand information from documents (invoices, forms, contracts, emails and scanned paperwork) without manual data entry. It can process structured documents (like standard forms), semi-structured documents (like supplier invoices), and fully unstructured sources (like free-text emails or handwritten notes), turning them into clean, usable business data.
At Inpute, we deploy Document AI through our partnerships with ABBYY, Microsoft, OpenText and UiPath to help finance, manufacturing and public sector organisations remove manual bottlenecks and get trustworthy data flowing into the systems that depend on it.
Why Document AI matters now
Every business generates enormous volumes of unstructured data (invoices, contracts, application forms, customer correspondence) most of which sits untapped because it's too costly or complex to process manually.
Talk to an expertManual entry is slow and error-prone
Teams spend hours keying in data that software could extract in seconds, and every manual touchpoint is a chance to introduce a mistake that gets carried downstream.
Rubbish in, rubbish out
As organisations adopt AI more broadly from Copilot to agentic automation the quality of that AI depends entirely on the quality of the data feeding it. You can deploy the most sophisticated AI in the world, but if the underlying document data is inconsistent or inaccurate, you won't get reliable results out of it. Document AI is the foundation that makes the rest of your automation and AI strategy possible.
How Document AI works
- 01
Capture
Documents arrive from any source: email, scanned paper, fax, web forms, mobile upload.
- 02
Classify
The system identifies what type of document it's looking at - invoice, contract, claim form, ID document, and more.
- 03
Extract
AI and machine learning models pull out the relevant fields, whether they're in a fixed layout or scattered through free text.
- 04
Validate
Extracted data is checked against business rules and existing records, flagging only genuine exceptions for a human to review.
- 05
Deliver
Clean, structured data is pushed into your ERP, finance system, CRM or workflow platform, ready to use.
The more mature the deployment, the fewer exceptions require manual review. The system continually learns from corrections to improve accuracy over time.
Document AI in practice
Document AI is often the logical first step in the enterprise automation journey. By intelligently reading, extracting and understanding data from documents, emails and other sources, you remove a major friction point for your team.
- How Can AI Help Businesses Surface Dark Data?
Locate and structure the content sitting unused across file shares, archives and legacy systems, so teams can search and question years of dormant documents.
- How Can Leasing Companies Automate Lease Contract Review?
Extract lease terms, rent schedules and covenants from long agreements automatically, with a human validating every field before it reaches the CRM.
- How can finance teams reduce repetitive admin?
Capture data from invoices, expense claims and statements automatically, then validate and route it so staff only review what genuinely needs a decision.
- How Do Companies Eliminate Paper-Based Workflows?
Digitise documents the moment they arrive and feed the data straight into digital systems, so nothing is filed, re-keyed or routed by hand again.
- How Can AI Reduce Manual Document Processing
Read and understand documents the way a person would, turning them into structured data automatically and passing only genuine exceptions to a reviewer.
- How do organisations automate compliance workflows?
Classify documents on arrival, apply retention and access rules automatically, and keep a timestamped audit trail that holds up when evidence is requested.
- How can councils digitise document-heavy processes?
Capture applications, forms and correspondence however they arrive, then extract and route the data into case management systems without manual keying.
- How Do Manufacturers Automate Invoice Approvals?
Capture invoices in any format, match line-item data against purchase orders and delivery records, and route them through pre-set approval workflows.
What results look like
See our client success storiesin invoice processing time
for a transport group, freeing staff for higher-value work.
automated every week
for a utility provider, with a significant drop in errors.
matched across 55 units
for a global finance organisation, in multiple languages.
office paper used
for a global retail group, by extracting key data at source.
Our Document AI technology partners
We're not tied to a single platform. Through our partnerships with ABBYY and Microsoft, and our relationships with OpenText and UiPath, we help you choose and configure the right engine for your document types, volumes and existing IT environment, rather than forcing a one-size-fits-all fit.
Talk to an expert
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Frequently asked questions
Document AI is AI-powered software that automatically reads, classifies and extracts data from documents, structured, semi-structured or unstructured, removing the need for manual data entry.
Document AI can process invoices, purchase orders, contracts, claims forms, bank statements, ID documents, emails, and even handwritten correspondence. It can be trained on a single document type or dozens simultaneously.
No solution delivers 100% accuracy on every document, particularly with handwriting or highly unstructured sources. But properly configured and trained, Document AI is highly accurate and reliable, flagging only genuine exceptions for manual review rather than guessing.
ROI varies by use case, but clients typically see reduced processing times (up to 50% in invoice processing), fewer errors requiring correction, and lower operational overhead from reduced manual handling. Get in touch for an assessment specific to your document volumes.
Traditional OCR (optical character recognition) reads characters from an image but has no understanding of context. Document AI builds on OCR with AI and machine learning to understand document structure, identify field types, and handle variation and unstructured layouts — which is why it can process semi-structured and unstructured documents that OCR alone cannot.
Ready to stop feeding your AI rubbish data?
Get in touch for a free, no-obligation assessment of how Document AI could work for your organisation.
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