Specialist roles
Each agent has one job, its own tools and clear boundaries. Work moves between them like a well-run team.
Agent Lab · Simulation
Four scenarios from Gulf operations. Pick one, run it, and see how agents hand off, call tools and stop for a human decision.
Turn this supplier sheet into a bilingual product listing for our online store.
Results assemble here as the agents work.
The audit trail is written when the run completes.
Simulation · scripted, no live AI calls
What you are seeing
Each agent has one job, its own tools and clear boundaries. Work moves between them like a well-run team.
Agents act through APIs and MCP tools with scoped permissions, never through open-ended access.
Anything that matters stops at a gate. Your people approve, or send it back with changes.
Every step, tool call and decision is recorded, so you can always answer “who did what, and why”.
In a real deployment
Real agents run on your data, inside your systems, with the AI provider you choose and hosting that meets your data policy. Each one is evaluated for quality, cost and failure modes before it goes live.
Let’s talk
Tell us about a process that slows your team down. In a 45-minute discovery session we show what an agent team could do with it, and what it would take.