Agentic AI · Client project
Processential
An AI workflow that handles the routine path and routes only the judgement calls to a person.
Processential
- Industry
- Agentic AI
- Timeline
- Weekly demos from kick-off to launch
- Platforms
- AI workflow
- Year
- 2025–2026
Results
What changed, and how we measured it
60%
less time per request, end to end
Average handling time per request, before vs. after, measured end to end
The story
An AI workflow that handles the routine path and routes only the judgement calls to a person.
Challenge
- Every request passed through four people and two tools before anyone could act.
- The team copied the same data between tools all day.
- Judgement calls and routine requests were handled the same slow way.
What we did
- Mapped the request path from first contact to completion.
- Built an AI workflow that handles the routine path end to end.
- Added a human approval queue for anything that needs judgement.
- Logged every action and tightened the rules from weekly reviews.
Result
- An AI workflow that handles the routine path and routes only the judgement calls to a person.
Product
The system in use
How it works
Five steps, every day
Intake
Requests are read, sorted and routed in seconds.
Decide
Routine requests follow rules the team approved.
Act
The agent updates the tools the team already uses.
Escalate
Judgement calls go to a person with full context.
Review
Every action is logged and reviewed weekly.
Four parts, one system
Request intake
Emails and forms read and routed automatically.
Workflow agent
Routine requests completed end to end.
Approval queue
Anything risky waits for a person.
Audit log
A record of every action the agent takes.
“They didn't just fix problems — they optimised our entire workflow.”
Built with
- LLM agents
- Workflow automation
Delivery
Delivered by a team of 2–4 engineers, with a working demo every Friday.
Related
Related client cases
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