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Our IT consultancy
AI Integration consultancy
We look for useful, measurable ways to put AI inside existing systems and workflows, rather than adding AI where it does not improve the work.
Explore an AI Use Case →You may recognise these problems
Are these the problems your business is encountering?
AI tools sit outside the systems where your team does its work
People spend time searching documents and internal knowledge
Document-heavy processes rely on manual extraction and checking
You are concerned about accuracy, security or uncontrolled AI output
A supplier is proposing AI without a clear business outcome
The systems your company is using were never designed to work together.
We build the connections that allow your software and data to work together.
The practical result
What AI integration can unlock
25%
faster
Task completion. Consultants using generative AI completed realistic knowledge-work tasks 25.1% faster.
12%
more
Work completed. AI-assisted consultants completed 12.2% more tasks than those working without AI.
40%
higher
Quality output. AI improved output quality by more than 40% for tasks within its capabilities.
14%
higher
Customer-support productivity. AI-assisted agents resolved 14% more issues per hour on average.
55.8%
faster
Software development. Developers using GitHub Copilot completed a controlled programming task 55.8% faster.
Up to 16.3%
Higher sales. A large-scale field experiment found that generative AI increased online retail sales by up to 16.3%, depending on the use case.
Practical delivery path
From the current situation to a workable next step.
Our approach
Our AI Integration Consultancy Approach
Understand the Business Problem
We identify where people lose time, information is difficult to use or decisions depend on repetitive manual work.
Find the Useful AI Opportunities
We look for practical use cases such as document extraction, knowledge search, classification, summarisation and workflow assistance.
Review the Data and Systems
We assess the information sources, data quality, permissions, privacy requirements and systems where the AI capability needs to work.
Choose the Simplest Reliable Solution
We compare workflow automation, system integration, AI and human review so the technology is proportionate to the problem.
Prototype with Clear Safeguards
We test a focused use case with defined boundaries, approval points, exception handling, logging and a way to measure accuracy.
Integrate, Measure and Improve
We connect the proven capability to the workflow, monitor how it performs and improve it as your people and requirements change.
AI capabilities
Where AI Can Help Your Team
We connect practical AI capabilities to the systems and workflows your team already uses.
Document Extraction
Extract useful information from invoices, CVs, forms, purchase orders and other documents before sending it into a reviewable workflow.
Internal Knowledge Search
Help employees find relevant answers across policies, procedures, project documents and other trusted internal sources.
Email Classification
Classify incoming messages, identify important details and route requests to the right workflow or employee.
Summaries & Next Actions
Turn long conversations, cases and reports into concise summaries that help people decide what to do next.
Workflow Assistance
Add AI support to an existing process while keeping human review, approvals and exceptions where they matter.
AI Inside Existing Systems
Connect practical AI capabilities with CRM, service desk, reporting, document and bespoke business applications.
Other operational scenarios
Examples of AI Integration
Select a scenario
Selected scenario
Selected scenario
Document Processing + Business Systems
Many businesses receive invoices, CVs, purchase orders, forms and other documents that employees need to read and re-key into business systems.
AI can extract relevant information, identify missing fields and pass the result into a workflow for validation or approval.
The benefit: Less manual reading and data entry, with employees still reviewing exceptions and important decisions.
Practical AI guidance
Start with a useful AI problem.
A practical starting point
Start with a useful AI problem
AI is most valuable when it improves a specific part of the way your business works. We start with the task, the people involved and the information they need before choosing a tool or model.
Depending on your situation, that could involve:
Extracting information from documents
Finding answers in internal knowledge
Classifying incoming emails or requests
Summarising information for a decision
Supporting a workflow inside an existing system
Frequently asked questions
Any questions?
We got you.
Find clear answers to the questions that usually come up when planning this type of technology work.
What does ai integration consultancy cover?
Use document extraction, internal knowledge search, workflow assistance and AI inside existing systems where it creates measurable value.
Can you work with our existing software?
We look for useful, measurable ways to put AI inside existing systems and workflows, rather than adding AI where it does not improve the work.
How do we decide what to do first?
We assess the current systems, process and constraints before recommending a practical next step.
Start with a clearer next step
Make AI Work Where It Matters
We help businesses identify practical AI opportunities and connect them to the systems and workflows their teams already use.
Make the next decision clearer
Bring us the problem behind the brief.
We will look at the work you already run, the constraints around it, and the smallest useful step worth proving.
Start a conversation
Choose how to begin.
Book a focused conversation or send us the context first. Both routes start with the work as it is.