AI & intelligent automation
AI that ships to production, not just to a demo.
We modernize legacy systems with LLM-driven engineering and build enterprise chatbots and agents grounded in your own knowledge, with evaluation, guardrails and human handoff built in.
Two ways we apply AI
Legacy app modernization with AI
Refactor monoliths into cloud-native services, extract business rules, wrap legacy logic in modern APIs and automate document processing.
Explore modernizationEnterprise AI chatbots & RAG agents
Context-aware assistants trained on your documentation, FAQs and databases, available 24/7 with smooth escalation to humans.
Explore chatbotsFrom use case to production in four stages
1. Assess
Find the two or three use cases with real ROI. Check data readiness, risk and cost.
2. Prototype
A working proof of concept on your real data, with a measurable success test.
3. Productionize
Integration, security, monitoring, cost controls and user training.
4. Govern
Ongoing evaluation, quality tuning, audit logs and model updates.
Responsible AI, by design
Data privacy
Your data stays yours. We design for access controls, redaction and no training on your data without consent.
Grounded answers
Responses are tied to your sources with citations, and the system says “I don’t know” when it should.
Human in the loop
Risky actions and low-confidence answers are routed to people.
Continuous evaluation
Test sets, quality scores and dashboards track accuracy and cost over time.
Where could AI save you the most time or money?
A half-day workshop to identify, size and prioritise your best AI use cases, with a roadmap you can act on.