AI tools and agents
Practical AI adoption in engineering — from guided assistants to custom agents that automate repetitive work.
What we deliver
We help teams introduce AI into their engineering workflow pragmatically. No buzzwords — we focus on concrete use cases with measurable outcomes and appropriate guardrails.
AI assistance in development
Introduce AI tools (GitHub Copilot, Cursor) into the development workflow with guardrails, best practices, and team onboarding.
Custom AI agents
Build agents to automate repetitive tasks — code review, documentation generation, data processing, or internal tooling.
Azure OpenAI integration
Connect to Azure OpenAI Service, set up a RAG pipeline, secure model access, and optimise inference costs.
Prompt engineering and evaluation
Design prompts, evaluate output quality, A/B test approaches, and set up safety mechanisms for reliable and predictable AI behaviour.
When to reach out
Developers are spending time on routine work
Code review, writing docs or tests takes up time that could go to the product. AI assistance can speed that up significantly.
Validating an AI use case
You have an idea for AI functionality or automation but are not sure how to realise it safely and effectively with real data.
Need an agent for an internal process
Automate reporting, document processing, or handling repetitive queries — a custom agent tailored to your specific workflow.
Technologies
- Azure OpenAI
- GitHub Copilot
- Semantic Kernel
- LangChain
- MCP (Model Context Protocol)
- Python
- RAG
- pgvector
- Azure AI Search
- Prompt Flow
Interested in this service?
Send us a message — we respond within one business day and schedule an intro call.