While transformations feel bespoke, AI makes them productizable. AI is effective at scalable coaching and counseling, providing customized tips and guidance between human interactions. This allows companies to deliver personalized transformation journeys without infinite human capital, especially in the crucial 'follow-through' stage.

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Instead of merely 'sprinkling' AI into existing systems for marginal gains, the transformative approach is to build an AI co-pilot that anticipates and automates a user's entire workflow. This turns the individual, not the software, into the platform, fundamentally changing their operational capacity.

A system called AISOS was built to scale a small enablement team. It provides on-demand sales coaching, delivers just-in-time training content, and conducts pipeline analysis. This multi-function approach allows a small team to support a wide array of sales roles from BDRs to enterprise AEs.

Power dynamics often prevent leaders from receiving truly honest feedback. By implementing AI "coaching bots" in meetings, executives can get objective critiques of their performance. The AI acts as an "infinitely patient coach," providing valuable insights that colleagues might be hesitant to share directly.

Sales leaders are growing skeptical of 'black box' AI that gives directives without context. The most effective AI serves as a coach, augmenting human skills by handling informational tasks. It cannot, however, replace the emotional intelligence and human judgment required for true sales transformation.

To stay competitive, digital products must offer more than just static content. Porterfield evolved her course to include personalized feedback from human coaches on key marketing assets and a custom AI assistant ('Porter') trained on her proprietary knowledge to provide scalable, 24/7 support.

A tangible way to implement a "more human" AI strategy is to use automation to free up employee time from repetitive tasks. This saved time should then be deliberately reallocated to high-value, human-centric activities, such as providing personalized customer consultations, that technology cannot replicate.

Personalization often begins as an isolated experiment. Microsoft successfully integrated it into their core operations by using AI to manage the complexity. This transformed personalization from a side project managed by a few people into an embedded, company-wide capability driving measurable results.

Adopt a 'more intelligent, more human' framework. For every process made more intelligent through AI automation, strategically reinvest the freed-up human capacity into higher-touch, more personalized customer activities. This creates a balanced system that enhances both efficiency and relationships.

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.

A marketing leader uses her personalized GPT to coach junior writers more efficiently. She inputs shorthand notes on their work, and the AI structures it into coherent feedback that explains the reasoning behind the edits. This transforms a time-consuming rewrite into a scalable coaching opportunity.