Inteknix
AI Document Processing for UK Businesses
If your team re-types information from PDFs, forms, or emails into other systems, that work can almost certainly be automated.
AI document processing — also known as intelligent document processing — uses artificial intelligence to extract, classify, and route information from business documents automatically: invoices, forms, emails, attachments, and scanned files. Inteknix designs document automation for UK organisations built on Microsoft AI Builder, Azure AI Document Intelligence, SharePoint, and Power Automate.
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The challenge
Why Does Document Handling Consume So Much Time?
Documents arrive faster than teams can process them — invoices into a shared inbox, forms as email attachments, contracts as scanned PDFs. Each one has to be opened, read, understood, and actioned: data keyed into a system, the file saved somewhere findable, the right person notified.
Because the work is manual, it is also inconsistent. Information gets mistyped, files get saved in the wrong place, and items sit unprocessed when volumes spike or key people are away. The team spends its time moving information around instead of acting on it.
AI document processing removes that manual layer — extracting the information automatically, validating it, and routing it to the right system and the right person, with human review reserved for the cases that genuinely need it.
The service
What Do AI Document Processing Services Include?
AI document processing services cover the assessment, design, and delivery of automated document handling — from identifying which document types are worth automating, through AI data extraction and classification, to integration with the systems where the information needs to end up.
Inteknix document processing services include:
- Document type and volume assessment
- AI data extraction from forms, invoices, and correspondence
- Document classification and routing
- Integration with SharePoint, Dataverse, and line-of-business systems
- Validation rules and human review workflows
- Accuracy monitoring and ongoing improvement
What you receive
What Do You Receive From a Document Processing Assessment?
Every document processing assessment produces a defined set of outputs, so you know exactly what you are paying for:
A map of document types, volumes, and current handling effort
Extraction feasibility findings for each document type
Data quality, structure, and integration findings
Recommended technologies and solution approach
Indicative scope, costs, and implementation priorities
Where it helps
Which Documents Can AI Process Automatically?
Most business document types can be automated to a useful degree — the question is how much human review each type still needs. These are the categories Inteknix most commonly automates.
Invoices and Financial Documents
Extract supplier details, line items, totals, and references automatically — validated against your records and written into your finance or ERP process without re-keying.
Forms and Applications
Structured and semi-structured forms — applications, registrations, surveys, and requests — read automatically and turned into records in SharePoint, Dataverse, or your line-of-business systems.
Emails and Attachments
Classify incoming email by intent, extract the key information, and route both the message and its attachments to the right process — clearing shared inboxes that currently depend on manual triage.
Contracts and Correspondence
Identify key clauses, dates, parties, and obligations in contracts and formal correspondence — supporting review, comparison, and deadline tracking.
Scanned and Legacy Documents
Digitise scanned files and older archives with OCR and AI extraction. Accuracy depends on scan quality, so these solutions are designed with validation and human review at the points where confidence is lower.
Why Inteknix
Why Choose Inteknix for AI Document Processing?
Why Choose Inteknix for AI Document Processing?
Inteknix builds document processing solutions that fit inside your existing environment — typically Microsoft 365, SharePoint, and Power Platform — rather than introducing a standalone platform your team has to learn and your IT has to maintain.
Inteknix designs every solution around a simple principle: automate the predictable and route the uncertain to a person. Validation rules, confidence thresholds, and human review workflows are built in from the start, so intelligent document processing improves accuracy rather than putting it at risk.
- Document automation delivered within your existing Microsoft environment
- AI data extraction with validation and human review built in
- Integration with SharePoint, Dataverse, and line-of-business systems
- Experience supporting organisations across a wide range of sectors
Client story
How Metrisk Reduced Manual Email Handling by Up to 80%
Metrisk was experiencing rapid growth in customer communications, with staff manually handling around 6,000 emails each month. As email volumes increased, the existing shared-mailbox process became increasingly difficult to manage, placing pressure on response times, staff workload, tracking and operational visibility.
The challenge
The email-handling process was time-consuming, difficult to track and heavily reliant on manual review. Customer queries could be missed, there was limited reporting on email status or response performance, and the organisation’s knowledge base of common responses was not being used systematically. Metrisk needed a way to assess incoming emails automatically, respond when suitable information was available, escalate unresolved queries to staff and provide clearer visibility across customer communications.
What Inteknix built
Inteknix developed a Microsoft 365-based intelligent email-handling solution using Microsoft Copilot AI, SharePoint and Power Automate. Incoming customer emails could be automatically identified and interpreted by AI, checked against a structured SharePoint knowledge base and answered when a suitable response was available. Queries requiring human input could be escalated to staff and logged in SharePoint, creating a central customer query tracker with status visibility, unanswered-email monitoring and a foundation for future reporting.
The result
The solution provided Metrisk with a practical route to reduce manual email handling by up to 80%, while improving response consistency, staff productivity and visibility of customer queries. It demonstrated how the organisation could move from a largely hidden shared-mailbox process to a more structured and trackable workflow — creating a scalable foundation for future growth and faster, more consistent customer service.
How we work
How Does the Inteknix Document Processing Approach Work?
Inteknix delivers document processing through five structured stages. Each stage has a defined purpose and a clear output, so you always know where the work stands and what comes next.
STEP 1
Discover
We review your document types, volumes, current handling process, and where the information needs to end up — building a clear picture of the manual effort involved today.
STEP 2
Assess
We assess extraction feasibility for each document type, test against real samples where possible, and identify any data quality or integration constraints.
STEP 3
Prioritise
We rank document types by volume, effort saved, and extraction confidence — agreeing which to automate first for the clearest return.
STEP 4
Recommend
We design the solution: extraction models, classification and routing logic, validation rules, human review points, and system integrations — scoped and costed before any build begins.
STEP 5
Support
We build, test against real documents, roll out, and monitor accuracy in live operation — refining the models and rules as document patterns evolve.
Who We Build For
Who does Inteknix help with document processing?
Our AI document processing services are suitable for organisations that receive high volumes of invoices, orders, forms or reports in inconsistent formats.
We often help finance and operations teams that rekey information from PDFs and attachments into other systems, with the errors and delays that come with it.
SMEs and growing businesses
Businesses that need practical, cost-effective systems that can grow with their operations.
Operations teams
Teams managing requests, tasks, inspections, assets, approvals or service processes.
Finance teams
Teams handling purchase orders, approvals, queries, reporting, reconciliation or document-heavy processes.
HR and people teams
Departments managing onboarding, employee requests, policies, forms, approvals and internal processes.
FAQs
AI Document Processing — frequently asked questions
AI document processing (intelligent document processing) uses artificial intelligence to automatically extract, classify, and route information from business documents such as invoices, forms, emails, and scanned files — replacing manual reading and data entry. Inteknix delivers it for UK organisations using Microsoft AI Builder, Azure AI Document Intelligence, SharePoint, and Power Automate.
Cost depends on the document types, volumes, and integrations involved, so Inteknix defines it after an initial discovery conversation. A document processing assessment is a contained, fixed-scope piece of work with the cost defined upfront, and delivery is scoped and costed before any build begins.
An assessment is typically completed within a few weeks. A first document type can often be automated quickly after that, with further types added incrementally — timescales are agreed during scoping so nothing is open-ended.
Common examples include invoices, purchase orders, application forms, registrations, contracts, emails and attachments, and scanned or legacy files. Structured and semi-structured documents automate most readily; less predictable documents are handled with AI extraction plus human review.
Yes — that is usually its biggest benefit. Extracted information is validated and written directly into SharePoint, Dataverse, or your line-of-business systems, removing re-keying and the errors that come with it.
Accuracy is typically high for clear, structured documents and lower for poor-quality scans or unusual formats. Inteknix designs every solution with validation rules and confidence thresholds, so low-confidence extractions are routed to a person rather than passed through unchecked — meaning overall data quality usually improves compared with manual entry.
Yes — that is Inteknix’s core specialism. Solutions are typically built with AI Builder, Azure AI Document Intelligence, Power Automate, and SharePoint, within the Microsoft 365 environment many UK organisations already have.
Yes. Extraction models, routing logic, validation rules, and integrations are designed around your specific document types and systems — not a generic template.
It asks a person. Documents or fields below the confidence threshold are routed to a human review step, and the reviewer’s corrections improve the process over time. Automation handles the predictable volume; people handle the judgement calls.
Automate Your Document Handling With AI
Inteknix can help you identify which document types are worth automating, how much manual effort that would remove, and how to deliver it within your existing Microsoft environment.
Start with a free discovery call to discuss your processes and determine whether an assessment would be worthwhile. There is no obligation to proceed.
Practical advice, clearer direction, no obligation.
