AI JOB TEAM
AI implementation ownership: from proof of concept to daily production use
The problem this solves
AI proof of concept that never reaches daily production use
AI JOB TEAM places a single owner over AI implementations where business goals, processes, data, technology and adoption all have to move together. The work takes a validated use case through a working, connected release and into daily use, with monitoring, controls and user training in place before go-live.
Novel practice
Go-live means monitoring, fallback and training are in place, not aftercare
“Monitoring, fallback, support, security and user training are part of the go-live decision, not aftercare.”
Translated from Dutch
— AI-implementatieconsultant inhuren | AI JOB TEAM
Technique
Fix ownership before build so no pilot becomes an unmanaged dependency
“For the build phase, we make value, ownership, acceptance and management explicit, so that a pilot does not become an unmanaged dependency. ... Accounts, code, data access and documentation under the client's control prevent unnecessary dependency after handover.”
Translated from Dutch
— AI-implementatieconsultant inhuren | AI JOB TEAM
AI implementationAI adoptionSystem integrationCustom softwareProof of concept
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