AI engineering.
Built around your business.
We help organisations apply AI to real operational needs, connecting business knowledge, software and workflows into practical solutions.
Discuss your AI project ↗See our bill-extraction example ↓Start with the work
you need to improve.
Explore where AI could fit your operation. We scope each project around your data, existing systems and the quality your users need.
AI knowledge assistants
Explore assistants that help people find answers in company documents and business knowledge.
Document processing
Extract, classify and summarise information from business documents. Our customer work includes AI-enhanced bill extraction.
Workflow automation
Connect AI with business applications to assist with repetitive information-processing tasks.
AI application development
Build AI capabilities into internal tools, customer portals and mobile applications.
Evaluation & deployment
Plan how to evaluate quality, integrate with existing systems and monitor behaviour after deployment.
More accurate information
from uploaded bills.
A customer’s bill-processing system needed to turn uploaded documents into accurate, structured data.
OCR accuracy needed improvement
The existing system scanned uploaded bills with OCR and converted the extracted content into structured data. The accuracy of that extraction was not meeting the customer’s needs.
AI-enhanced bill extraction
We introduced AI into the extraction workflow to interpret uploaded bills and extract their information more accurately.
A substantial accuracy improvement
The AI-enhanced system extracted bill information more accurately than the earlier OCR-based approach, substantially improving extraction accuracy for this customer.
A practical path
to implementation.
Define what success looks like before choosing how to build.
Understand the problem
Identify the workflow, users and business outcome.
Assess the data
Review representative inputs, data availability and system connections.
Build & evaluate
Evaluate the solution against agreed examples and quality requirements.
Integrate & support
Plan deployment, monitoring and the ongoing support your project requires.
Agree the controls your use case needs
Project scoping should cover confidential information, access permissions, human review, and how uncertain or incorrect AI outputs will be handled. These requirements shape the solution and its evaluation.