AI assistants and copilots
Help a person retrieve context and prepare a next step.
AI agent development
Build AI agents around bounded business jobs
Design and implement AI assistants, agents and multi-step workflows with approved data, scoped tools, measurable tests and human review.
A useful agent has a defined job
Agree the user, input, source systems, permitted tools, expected output, error path and decisions that require a person. Build the narrow workflow first and keep a record of how it performs.
From prototype to supported workflow
- 01
Define the task
Select a repetitive workflow with a clear owner and measurable starting point.
- 02
Prepare sources and access
Confirm data rights, identity, scope and system permissions before connecting tools.
- 03
Build and test
Create the prompt, tool sequence and approval points; test representative good, ambiguous and failure cases.
- 04
Train and hand over
Document how to use the agent, how to monitor it and who can stop or change it.
What may be included
Workflow agents
Sequence supported tools with clear permission and confirmation boundaries.
Multi-agent prototypes
Evaluate orchestration only when separate roles, hand-offs and failure modes add measurable value.
Local intelligence. Ready to build.
Start with the work you want to improve.
Talk through the workflow, desired result and people who need to own it.