AI prototypes never reach production
Connect models to real applications with evaluation, security and human review.
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AI and Workflow Automation
We improve document, knowledge and approval workflows with AI and automation connected to your existing systems.
We first define the work to automate, the data it needs and where human review belongs. We then connect RAG assistants, document processing, OCR and LLM integrations to existing systems, using controlled RPA only for selected steps where no suitable API exists.
When do you need this service?
Documents are processed manually
Extract and validate information from invoices, contracts and forms.
Solutions
What we deliver
RAG-based assistants
Answers grounded in authorised documents and data.
Fine-tuning and evaluation
Model adaptation and quality testing where appropriate.
Document processing and OCR
Reading, extraction, classification and validation.
Workflow automation and RPA
API-first integration with selective screen automation.
What changes for your team?
Faster processing
Shorter cycles for repetitive document and data work.
Controlled use
Permissions, logging, evaluation and human approval.
Connected delivery
A solution integrated into applications teams already use.
Process
How we work?
Use case and success criteria
01Use case and success criteria
Data and security review
02Data and security review
Prototype and model evaluation
03Prototype and model evaluation
System integration and user testing
04System integration and user testing
Monitoring and improvement
05Monitoring and improvement
Frequently asked questions
Which processes are suitable for AI?
Repeatable processes with representative data and outputs that can be reviewed are good candidates. We assess expected value and error risk during discovery.
Do we need to share our data?
The required data depends on the use case. Access, retention, permissions and sensitive-data rules are agreed before development.
What is the difference between RAG and fine-tuning?
RAG retrieves approved current information when generating an answer. Fine-tuning adapts model behaviour for suitable tasks; many projects do not need both.
Can you add AI to existing software?
Yes. Where suitable APIs or data access exist, AI functions can be integrated into your current applications and workflows.
How do you evaluate a pilot?
We agree use-case-specific measures such as accuracy, processing time, human intervention and error cost, then test with representative data.
Free initial consultation
Let’s assess your project together
Tell us briefly what you need. In a free initial call, we’ll discuss your current setup, goals and the right place to begin.
Schedule a free call