Primary capability
AI systems and agent development
AI is treated as one part of a working system: connected to the right context, constrained by clear rules, and designed with a path for review when certainty matters.
InputBuildOutput
What fits inside
Scoped around the actual build.
Capability areas, not a promise that every project needs every layer.
01
Task-specific agents
Agents built around defined jobs, tools, permissions, checkpoints, and escalation paths.
02
AI product features
Generation, extraction, classification, summarisation, search, or assistance inside an existing product.
03
Knowledge systems
Retrieval and question-answering experiences connected to approved documents, records, or structured data.
04
Evaluation and guardrails
Test cases, output checks, observability, fallbacks, and human review for important decisions.
Working path
From unknowns to a working system.
- 01
Task
Choose a bounded job
Start with the decision or task the system needs to support, rather than beginning with a model or tool.
- 02
Context
Map data and permissions
Define what the system can see, what it can change, and where a person must remain in control.
- 03
Prototype
Test the uncertain parts
Validate prompts, retrieval, tools, and failure modes with representative scenarios.
- 04
System
Integrate and observe
Connect the working behavior to the product or workflow with logs, checks, and clear recovery paths.
- A repetitive knowledge task
- An AI feature inside a product
- A controlled internal assistant
- A workflow requiring review before action
Other capabilities