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Why AI is the Future of Coaching

By Madhukar Govindaraju , Founder & CEO

Remember the time when Artificial Intelligence was just a futuristic technology meant to be movie material? Today, AI is a mainstream technology driving almost all online interactions. As AI-driven everything becomes an enterprise staple, it becomes natural to extend the power of this technology to the learning and development department to drive powerful and contextual initiatives that deliver tangible results.

Here are a few reasons why AI is the future of coaching

Battle Information asymmetry

Until recently, coaches have worked on the principle of information asymmetry – a place where they have more information than the learners. However, the world of work is no longer holding the same avatar as a decade back. The enterprise is now a living, breathing organism that is evolving each day…and with this, its needs are evolving and changing.

Given the market forces and disruption at play, the rise of the remote workforce, gig economy and distributed teams, and rising competition, information asymmetry has to reduce to drive better coaching outcomes.

While coaches will have better coaching information, that information has to be relevant and contextual to the learner. For this, it is as important to have accurate and precise information regarding the learner and clarity on their learning needs. 

At the same time, the learners have to be aware of where their learning and coaching needs lie, how these efforts translate into progress, and how that helps them progress in their job roles.

AI-enabled coaching platforms help battle this information asymmetry by providing deep and accurate insights that help build a better understanding of how to drive coaching outcomes. They can help organizations drive phenomenal business results by identifying accurate coaching needs and powering better coaching conversations.  

Smart coach-learner pairing

“When the student is ready, the teacher will appear”.

While this is a good philosophy to go by, in the enterprise context this doesn’t hold water. 

With constant change becoming a staple, enterprises need to increase their agility and flexibility to adapt to change. The role of critical skills such as communication and collaboration are also becoming more pronounced owing to the rise of remote working. 

A sharp focus on reskilling, upskilling, and associated learning and development activities become natural outcomes of this climate of change. However, to drive elevated coaching outcomes, it is imperative to have the right coach-learner pairing. After all, this determines the quality of coaching conversations.

Read: Power your Upskilling Initiatives with Coaching

While organizations realize the importance of the right coach-learner pairing, many still rely on archaic guesswork to enable this. Unless the pairing is right, the learning interactions and the engagement is not going to be impactful and will be unable to drive powerful results.

An AI-enabled platform alleviates this concern and makes it easier for organizations to drive transformational coaching programs. Such a platform uses advanced technology to make the right coach-learner pairings taking the learning needs and other variables at play. This approach makes it possible for enterprises to pair the right coach with the right learner, and make sure that enablement reaches their workforce when they need it.

Build a thriving internal coaching culture

The number one HR priority for most organizations this year is to create an internal coaching culture to drive organizational and employee agility. Skill development initiatives have to become more future-focused and dynamic. These initiatives have to ensure that employees develop the right skills at the right time and contribute to the development of a robust leadership pipeline.

Integrating coaching in the workplace culture is the only way to achieve goals while driving lasting change. However, to create the right coaching culture, enterprises have to replace guesswork with accurate data to identify the current and future needs of their workforce.

An AI-enabled coaching platform gives enterprises the capacity to identify potential coaches from their internal employees and assess their skill sets versus coaching needs. Using this knowledge, organizations can create an army of internal coaches and build a thriving internal coaching culture.

Drive performance management with coaching

The days of the end-of-year annual review are behind us. The millennials and Gen Z (the dominant workforce demographic) need timely and action-oriented feedback at regular intervals. Whether it is to identify performance gaps proactively or to identify new skill development opportunities to augment career paths, organizations now need to make feedback a proactive mechanism.

Read: Coaching Strategies for Millennials and Gen Z

Optimizing performance management systems to help accurately identify top performers and high potential employees are also organizational prerogatives. Data-backed insights into both technical and critical skill sets are essential to drive organizational outcomes by ensuring that employees are on the right upskilling, reskilling, or critical skill enhancement trajectory.  

An AI-enabled coaching platform helps to drive performance management with coaching and optimizes coaching interactions by providing timely and contextual nudges. The technology also gives organizations the insights they need to identify their high-potential employees and top performers and assess who should be moved into the leadership pipeline to make it more robust and vibrant.

Manage the diversity chasm

Organizations with diverse teams outperform non-diverse teams by 35%. 

Diversity is the enabler of innovation and creativity and a factor that builds empathy into the teams’ fabric. To reap the benefits of diversity, these policies have to align directly with organizational goals.

Read: The Critical Piece to Drive Successful Enterprise Diversity Initiatives

However, strong coaching programs are essential to drive diversity initiatives and to make sure that they stick. For this, it is essential to make the right coach-learner pairing, assess where diversity initiatives are lacking, identify exact skill areas that employees need help with, and develop critical skills like empathy that link back directly to diversity.

But how do organizations make sure that they are not linking their diversity initiatives to become mere affinity programs within organizations? Employing an AI-enabled coaching platform can help organizations build their diversity initiatives by creating transformational relationships that elevate the intellect by addressing relevant and contextual concerns and challenges.

Finally, and perhaps, most importantly, an AI-driven coaching platform helps organizations build contextual and relevant coaching programs by providing clear insights into performance gaps. With clear insights, organizations can jumpstart relevant company-wide coaching programs, provide actionable insights into skills development, performance, employee engagement, and much more. With overall enterprise transformational insights, an AI-powered platform helps organizations proactively identify and add new skills to address their growing needs.

Connect with our team of experts to see how our AI-enabled coaching platform can help you drive better learning outcomes and power your employee engagement and employee experience initiatives.

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