Preparing your teams for the arrival of AI agents
Concerns, roles, onboarding: how to involve your teams in the arrival of an AI agent so that they adopt it, instead of working around it.
SMEsMid-sized companies
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Teams and organisation
Preparing teams, sharing out roles, moving from trial to production.
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Mid-sized companies: moving from AI trials to production
Many trials, few agents in service: why AI projects stall after the proof of concept in mid-sized companies, and the five conditions for going into production.
Mid-sized companies
Why an AI agent needs ongoing monitoring
Software that changes, models that evolve, rules that move: why an AI agent drifts without monitoring, and what serious monitoring should include.
SMEsMid-sized companies
The internal lead: the role that keeps your agents and your memory alive
Neither an IT specialist nor a project manager: the internal lead knows the business, reports cases, keeps the rules up to date. The role, the profile, the time.
SMEsMid-sized companies
Preparing an AI agent project: access, examples and a decision-maker
Access to tools, real examples, special cases, a contact, a decision-maker: the list of what to gather before starting an AI agent project.
SMEsMid-sized companies
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