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 five conditions for going into production.
Mid-sized companies
Why does an AI agent drift without monitoring, and how do you prevent it?
Software that changes, models that evolve, rules that move: what makes an AI agent drift, and what serious monitoring should include.
SMEsMid-sized companies
Internal AI lead: the role that keeps your agents alive
The internal AI lead knows the business, reports cases and gets the rules updated. The role, the profile, and the time to give them.
SMEsMid-sized companies
Preparing an AI agent project: the checklist to stay on schedule
Access, real examples, special cases, a contact, a decision-maker: what to gather so that an AI agent project stays on schedule.
SMEsMid-sized companies
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