Intuition Machine
Your first governed AI-native workflow
One business process. Real enterprise systems. Measurable results.
Rebuild one workflow with AI agents, inside your enterprise
We take a workflow you select and rebuild it with AI agents, working within your existing technology standards, access controls and business constraints.
It runs alongside the current process first, in parallel or in shadow mode, so the two can be compared on real work before anything is switched over. You expand its autonomy when the evidence says you should, not before.
A working system, and the evidence to decide what comes next
- A working, bounded AI workflow, initially running in parallel or shadow mode
- Integration with approved enterprise systems and permissions
- Explicit evaluation and escalation criteria
- A comparison against the existing workflow on speed, cost, accuracy and exception rate
- A documented path toward greater autonomy and reuse
Pilot scope and production authorisation depend on the workflow's risk and its integration requirements.
Map, build and prove, scoped to one workflow
Choose and understand the workflow
The systems it touches, the rules that govern it, the decisions people hold, and the baseline it will be measured against.
Rebuild it with agents
A bounded agent workflow, integrated with approved systems and permissions, with escalation paths to people defined up front.
Run it in shadow and compare
Side-by-side results on real work, and a documented decision on what to expand, what to change, and what to leave with people.
Agentic project coordination
A good first workflow is high-volume, rule-bound and easy to measure. Project coordination is all three.
Agents collect status, identify dependencies, manage handoffs and run routine follow-ups across the systems a programme already uses. People keep the decisions that are theirs: priorities, trade-offs and escalations.
It is not another chatbot. It is the step from individual AI assistance to an AI-native team workflow — and it removes the kind of coordination overhead that AI-native organisations are built to eliminate.
An example of the shape of an engagement, not a packaged product
Tell us about one workflow.
We help you build your first AI-native workflow, connect it safely to your existing enterprise, and prove the business results before autonomy expands.