From needs to practical uses
Is your company experimenting with artificial intelligence while use cases remain scattered? Start by understanding tasks, available information and decisions requiring human oversight. This Nikita × GLOBALTECH presentation describes a journey from diagnosis to operational use.
AI audit: prioritize use cases
Review actual work, identify tasks that could benefit from AI and prepare a roadmap. Expected gains are estimates to compare against pilot results.
AI training: practice on business cases
Learn to formulate requests, understand model limitations and test tools on work situations. Requirements, delivery terms and any funding must be checked for the selected course.
AI agents: prepare integration
Scope a use case, prototype and prepare connections to data and tools. Production requires validation, access management and results monitoring.
GLOBALTECH: training and technical support
GLOBALTECH helps clarify needs, prepare use cases, train teams, prototype and integrate business applications. Stéphane Judicaël Montet brings together training and development experience as a Nikita partner AI referent, connecting team needs to data, APIs and technical constraints.
Questions and answers
Where should we start?
Start with a diagnosis of needs and processes before selecting a tool or agent. The link below opens the Nikita diagnostic with code NK-JUDICAEL.
Is training enough to deploy an agent?
Training supports understanding and experimentation. Operational integration also requires technical scoping, testing and validation suited to the context.
