The best use of AI in coaching is as a tool for skill practice, not a human replacement. It offers a safe, low-stakes environment for leaders to rehearse challenging scenarios, like difficult conversations, and receive immediate feedback without the judgment of a human observer.
Related Insights
To prepare for a future of human-AI collaboration, technology adoption is not enough. Leaders must actively build AI fluency within their teams by personally engaging with the tools. This hands-on approach models curiosity and confidence, creating a culture where it's safe to experiment, learn, and even fail with new technology.
Users who treat AI as a collaborator—debating with it, challenging its outputs, and engaging in back-and-forth dialogue—see superior outcomes. This mindset shift produces not just efficiency gains, but also higher quality, more innovative results compared to simply delegating discrete tasks to the AI.
Instead of fully automating conversations and risking sounding robotic, use AI to provide real-time suggestions and prompts to a human sales rep. This scales expertise and consistency without sacrificing the human touch needed to close deals.
The most powerful use of AI for business owners isn't task automation, but leveraging it as an infinitely patient strategic advisor. The most advanced technique is asking AI what questions you should be asking about your business, turning it from a simple tool into a discovery engine for growth.
To successfully implement AI, approach it like onboarding a new team member, not just plugging in software. It requires initial setup, training on your specific processes, and ongoing feedback to improve its performance. This 'labor mindset' demystifies the technology and sets realistic expectations for achieving high efficacy.
The skills required for effective AI prompting—providing clear roles, context, and constraints—are directly transferable to human interaction. By learning to communicate with machines, marketers inadvertently train themselves in the fundamentals of clear delegation and management.
Pega's CTO warns leaders not to confuse managing AI with managing people. AI is software that is configured, coded, and tested. People require inspiration, development, and leadership. Treating AI like a human team member is a fundamental error that leads to poor management of both technology and people.
Instead of spending hours agonizing over how to deliver constructive criticism, Lindsay Carter used AI. She inputted her concerns for a new assistant and prompted the AI to act as an expert. It generated a clear, structured, and helpful email in five minutes, demonstrating AI's power for improving leadership efficiency and communication.
Rehearse difficult conversations by having an AI adopt the persona of your boss, partner, or employee. This allows you to practice your approach, refine your messaging, and anticipate reactions in a safe environment, increasing your confidence and effectiveness for the real discussion.
An automated workflow analyzes call transcripts and sends immediate, private feedback to the sales or CS rep on what they did well and where they can improve. This democratizes high-quality coaching, evens the playing field across managers of varying skill, and empowers motivated reps to upskill faster.
