Generative AI revolutionizes talent acquisition, enhancing efficiency and personalization while prioritizing efficiency and making it human-centric. Enparadigm, based in Bangalore, pioneers experiential learning solutions for top-tier clients like Google, Amazon, Axis Mutual Fund and 500+ others. The company has been recognized among the fastest-growing tech companies in APAC by Deloitte as part of the Deloitte Tech Fast 500 APAC program.
In an exhilarating rendezvous with All Things Talent, John Cherian, Co-founder and CEO of Enparadigm, expounds on the transformative power of Generative AI in elevating employee skill development initiatives.
Q) Can you elaborate on Enparadigm’s journey, detailing the specific products you offer and how they contribute to enhancing organizational effectiveness?
A) Enparadigm has been on a mission to empower organizations in two fundamental aspects — firstly, by fostering future-ready talent capable of navigating dynamic landscapes through the acquisition of new and emerging skills, and secondly, by maintaining the productivity and performance of employees to meet the demands of the current business environment. Our comprehensive approach entails a range of innovative products designed to address these needs effectively.
Q) Talk about your products, especially CatalyX and how they strengthen companies in terms of cross-selling and upselling.
Our flagship product, CatalyX, is a talent intelligence platform that serves as a guiding force in driving the learning journey for companies by leveraging generative and immersive AI. CatalyX enables organizations to identify the specific skills and competencies required for various roles within the company. It breaks down these requirements into micro-skills, facilitating personalized learning journeys for employees. Additionally, our solutions provide real-time feedback and assessment, ensuring continuous improvement and skill development. Our approach ensures we seamlessly integrate future-focused skill development with present-day performance enhancement, thereby equipping organizations with the agility and resilience needed to thrive in today’s rapidly evolving business landscape.
Q) Can you elaborate on how Enparadigm harnesses the power of Generative AI successfully during corporate training programs or employee skill development initiatives?
A) Our approach begins with understanding our clients’ cultural and competency frameworks. We design tailored learning journeys for various levels within their organizations, spanning from individual contributors to first-line managers. Each level progresses through a series of structured journeys, providing employees with a continuous pathway for skill enhancement as they advance in their careers.
The challenge often lies in the overwhelming array of learning resources available, leading to analysis paralysis among employees. We address this by offering practical, hands-on learning experiences rather than traditional methods like slide presentations or video modules. Just as a football player improves by playing the game and receiving personalized feedback, our methodology follows a similar three-step cycle: real-world scenario immersion, feedback, and technique refinement.
We work with clients to instil a learning culture within their organizations, often serving as an outsourced learning partner and extending the reach of their L&D programs. Through access to corporate IDs, we facilitate communication and encourage employees to engage with our learning pathways, monitoring their progress and providing detailed reports to the organization.
Our success metrics encompass both short-term indicators, such as consumption and completion rates, as well as long-term measures like Internal Fill Rate (IFR) – the percentage of internal talent filling roles within the organization. By correlating our interventions with employee retention, attrition, and productivity, we demonstrate the tangible impact of our learning journeys on organizational outcomes.
Q) How does Enparadigm handle talent queries on skills, competencies, productivity and learning gap solutions?
Organizations often grapple with these (questions) concerning talent management —
- What specific skills and competencies are typically required for roles within an organization?
- How do organizations assess the skill and competency levels of employees currently occupying these roles?
- What are the ideal skill and competency levels necessary for employees to be productive in their assigned roles?
- If there’s an impediment between an employee’s current skill set and the desired competency levels, what strategies are implemented to bridge this discrepancy?
We initiate our process by meticulously profiling the skills necessary for each role within an organization. Take, for instance, the average company with 150-200 unique roles, each demanding 25-30 distinct skills. We break down these roles into micro-skills, compiling a comprehensive library of behaviors. Now, these micro-skills are meticulously categorized based on various metrics such as roles and industries.
When a company specifies their talent requirements, we are ready with our extensive database to iron out the exact skills needed for success in those roles. In addition to that, we employ experiential learning solutions within our platforms, enabling us to track employee progress accurately. By mapping these micro-skills and utilizing experiential learning, we craft personalized learning journeys tailored to guide employees from their current proficiency level (Point A) to their desired destination (Point B).
Q) How does Generative AI contribute to the evolution of HR practices, and what are its potential implications for the future?
A) Generative AI stands as a transformative force in reshaping HR operations, offering promising advancements with far-reaching implications. Much like the advent of modern computing liberated humans from manual tasks, Generative AI streamlines processes, significantly reducing the time and effort required.
Adding on to that, Generative AI facilitates real-time assessment and feedback by capturing user responses and evaluating them for proficiency. This data-driven approach empowers HR leaders to identify areas for improvement and tailor learning interventions accordingly, fostering continuous growth and development within the organization.
To sum it up, Generative AI not only enhances our operational efficiency but also unlocks new possibilities in personalized learning and development. As its capabilities continue to evolve. I (truthfully) believe that the future of HR stands to be shaped by the transformative potential of Generative AI.
Q) While leveraging Generative AI to support HR leaders, are any barriers or concerns hindering its adoption in certain sectors?
A) The adoption of Generative AI in HR practices brings several challenges and concerns to the forefront. Firstly, the accuracy of AI-generated outcomes remains a significant concern. Despite its advancements, AI can (occasionally) produce errors or unexpected results, leading to potential inaccuracies in critical processes.
Secondly, there’s the issue of inherent biases within AI algorithms. Similar to human biases, AI systems can inadvertently reflect the prejudices present in their training data, leading to decisions or outputs that may not be entirely fair or objective. This raises questions about the impartiality of AI-driven HR decisions.
Data security and privacy represent another critical barrier. Organizations entrusting AI systems with sensitive employee data must navigate the complexities of ensuring this information remains secure and private. There’s a palpable concern about the potential for data breaches or the misuse of personal information within larger AI datasets.
The potential for AI to inadvertently cause public relations crises cannot be understated. An AI’s actions, perceived as inappropriate or insensitive, can escalate quickly, often before the full implications are realised. This unpredictability adds a layer of risk in deploying AI solutions within sensitive HR functions.
Q) Enparadigm has been shaping the future of learning for over a decade. Could you share with us the key milestones during its journey? How do you continue to innovate and adapt to the ever-changing landscape, ensuring your solutions resonate deeply with the needs and trends of the market?
A) Ah, great question! Over the last decade, Enparadigm has strived to be at the forefront of innovation in the learning and development space. We identified early on that traditional classroom learning and the first-generation e-learning models had significant limitations. To address this, we developed a holistic model that merges the best of technology and human interaction, ensuring a deeply engaging learning experience that captures the nuances of both data analytics and the human touch.
Our approach recognizes learning as an inherently human process, something many tech solutions overlook, leading to low engagement and completion rates in e-learning. We’ve noticed that most learners require not just content but a guided, motivational and highly personalized journey that touches them both intellectually and emotionally. To achieve this, we’ve implemented innovative methods like simulations offering personalized experiences and cohort-based learning, where participants engage in virtual calls for collaborative sessions, blending autonomy with guidance. This mix of digital scale and personal touch allows us to cater to diverse learning needs effectively.
Our unique strategy addresses the common issue of engagement with e-learning. Despite the abundance of e-learning resources, the challenge has always been in capturing learners’ attention and commitment. By participating in global seminars and conferences and exchanging insights with peers, we’ve continually refined our approach to address these challenges head-on, ensuring our solutions are both impactful and relevant to current and future market trends.
All things considered, I firmly believe learning is a humane process.
Q) In today’s competitive market, how does your approach assist brands and companies in retaining their talent?
A) The primary reasons employees often choose to leave their organizations include conflicts with management, lack of growth opportunities and an unsupportive work culture. To address these challenges, we focus on enabling managers and team leads to foster an environment where employees can rapidly develop their skills. This includes nurturing a positive work culture through training in communication etiquette and interaction methods and emphasizing the importance of tone and voice.
Additionally, we advocate for skill-based learning across these critical areas, which significantly impacts retention rates. Interestingly, we’ve noticed that even sectors traditionally focused solely on technical skills, like manufacturing, are now recognizing the importance of incorporating growth and development opportunities, thanks to increased awareness and access to information through smartphones. This shift towards a more holistic approach to employee development is a key factor in reducing attrition rates and retaining talent.
Q) Can you share insights into Enparadigm’s longstanding partnership with Axis Mutual Fund and the impact it has had?
A) Our partnership with Axis Mutual Fund spans almost a decade, starting with initiatives to aid their top management in identifying suitable learning opportunities for various personal profiles. From a learning perspective, in 2019-2020, they aimed for substantial growth in their incremental assets under management, targeting a 2.5x increase from the previous year. To meet these ambitious goals, we assessed their needs across the cultural, behavioural, market, and solution-selling dimensions. We then crafted a tiered learning journey catering to different organizational levels, beginning with front-end sales personnel, advancing through first-line and group managers, and extending to regional and zonal managers, initially encompassing a cohort of 500 participants. This strategic approach bore fruit in the business sphere, where they achieved their ambitious incremental AUM target within a year, and their market share substantially went up.
Post this success, our collaboration deepened, expanding to encompass around 700-800 sales and non-sales personnel. Over the last five years, our learning systems have undergone a significant transformation, moving from 50% to 95% digital formats, thanks in large part to advancements in Generative AI.
Our engagement rates are a testament to the effectiveness of our platform, with an average consumption rate of around 85%, which holds true for our work with Axis Mutual Fund. This high adoption rate is largely due to the personalization and relevance of the learning experiences we offer, as well as their immersive, experiential and practical nature that includes real-time feedback — like having an AI coach for every employee. Thanks to these user-centric solutions, our learning interventions transcend being mere company mandates, fostering genuine adoption and engagement among participants. Besides, we are able to provide the Axis Mutual Fund leadership with company-wide talent analytics which clearly shows the strengths and skill gap areas across roles and functions, providing insight on where the company needs to invest deeper in capability building to stay relevant in the future.
John is the CEO and co-founder of Enparadigm, established to empower L&D managers to achieve tangible business outcomes. He brings extensive expertise from working with over 400 clients across various sectors, including major brands and companies. John’s passion for innovative learning methodologies has shaped enParadigm’s focus on experiential learning. Away from work, he enjoys family time and expanding his extensive collection of management literature. John holds an MBA from IIM Ahmedabad.
