Applied AI and agentic systems
Practical use of large language models and AI agents where they solve a defined problem, with clear limits, human oversight and measurable outcomes.
This can include
- Assistants grounded in an organisation's own documents and data
- Agentic workflows that use tools and APIs under defined guardrails
- Evaluation approaches to check quality, cost and reliability
- Responsible use: privacy, human review and failure handling