AI Agents Designed Around Your Business
Your organisation already has workflows. We design AI agents around them. Enterprise workflows often require people to search for information, interpret documents, navigate multiple systems, apply rules and make decisions. Agentic AI can coordinate these activities — when the architecture is designed for the actual workflow.
Agent operating model
How enterprise agents operate.
Six stages, each observable and each leaving a record. Risk determines where the human sits in the loop.
Observe
Understand enterprise context, available information and the current state of the workflow.
Reason
Apply domain logic, business rules and AI reasoning to determine the next appropriate step.
Retrieve
Access trusted enterprise knowledge and governed data.
Act
Interact with authorised systems through controlled tools and APIs.
Verify
Apply validation, business rules and human approval where required.
Audit
Maintain traceability of inputs, decisions, actions and outcomes.
What we build
Ten agent patterns we deliver.
The pattern follows the workflow — not the other way around.
- Enterprise knowledge agents
- Operations agents
- Research agents
- Compliance agents
- Document intelligence
- Business process agents
- Executive intelligence agents
- Multi-agent workflows
- AI copilots
- AI-assisted decision support
Architecture before automation
We start by understanding the process, decision points, data dependencies, systems, controls and desired outcomes. The agent is then designed as part of the enterprise architecture rather than as an isolated AI application.
Next step
Design an agentic solution for your organisation
Start with a workflow, business problem or operational bottleneck. We can help assess whether it is suitable for agentic AI.