AI Operations
Processes that run.
Not diagrams.
Implementa's operations capability. We automate workflows and support with AI that replace manual work — measured in hours saved and adoption, not intentions.
What we ship
AI Operations
The pod's roles
No names: we sign by role. This is what each profile in the pod does.
Senior AI Operations Operator
Leads the pod and owns automation outcomes. Prioritizes by operational impact.
Workflow Operator
Maps processes and builds the automated workflows. Iterates with the end user.
Support AI Operator
Implements and runs support agents. Tunes resolution and human handoff.
AI Workforce Operator
Deploys agents that cover operational roles, with limits and human escalation.
Automation Engineer
Builds reliable integrations and technical automations, with error handling.
Integrations Specialist
Connects systems via API and syncs data without conflicts.
How we measure it
- Hours saved
- Processes automated
- Adoption
- Operational efficiency
The bar
To join the Operations pod you must have automated workflows that replaced manual work in production — and know how to measure hours saved and adoption.
See how you get in →Results, not slides
B2B industrial distribution
32h → 4h
Hours/week on repetitive work
8 weeks
Logistics · last mile
4,2 → 0,3 %
Data error rate
10 weeks
Healthcare · private clinics
€4,80 → €0,40
Cost per process
12 weeks
Do you actually automate?
Show the workflow you put into production. We'll teach you the rest.