Cohere Says Enterprises Should Onboard AI, Not Just Install It

AI change management is the work of guiding an enterprise through the organizational changes required to adopt AI at scale, from preparation through day-to-day use. [1] It includes understanding shifts in roles and responsibilities, helping employees develop new ways of working, communicating expectations, and adapting workflows and oversight as adoption progresses. [1] Employees may consequently spend less time producing work themselves and more time directing AI, working with its outputs, or handling tasks that depend on human expertise. [1]

Cohere argues that organizations often retrofit AI into existing infrastructure and processes, expecting it to fit the guardrails, integrations, and workflows used for CRM, ERP, and other enterprise software. [1] The company says AI differs because it can perform open-ended, context-dependent work that involves collaborating with people. [1] It therefore proposes treating AI as a participant to be onboarded, defining its workflow role and using pattern recognition, scalability, and adaptability to complement human judgment rather than compete with it. [1]

Taken together, Cohere’s framework shifts implementation from a deployment project toward work redesign. Unlike CRM and ERP systems, which the article presents as fitting established software guardrails and integrations, AI is framed as requiring an explicitly defined role alongside employees. That makes role clarity, oversight, and employee practice—not installation alone—the core management tasks. What the sources don't address: how enterprises should measure whether participant-style onboarding improves productivity, quality, or employee outcomes.