AI has begun to play a central role in enterprise learning and development (L&D), particularly in curating personalised learning journeys based on individual skill gaps and goals
Generative AI is no longer a futuristic buzzword—it’s a present-day disruptor that’s transforming the way enterprises operate, make decisions, and, critically, train their workforce. In this changing landscape, companies like edForce are positioning themselves at the forefront of AI-powered upskilling.
“We’re not just talking about AI anymore. Enterprises are now actively leveraging it to build capabilities, detect threats, and create personalised learning pathways for employees,” says Ravi Kaklasaria, CEO and Co-Founder of edForce, a leading workforce skilling company.
New AI-Driven Learning Model
AI has begun to play a central role in enterprise learning and development (L&D), particularly in curating personalised learning journeys based on individual skill gaps and goals. Unlike traditional training models that push one-size-fits-all content, AI allows organisations to adopt a pull-based strategy—offering what the learner needs, when they need it.
“This is what generative AI excels at,” notes Kaklasaria. “It creates context-aware content, suggests relevant learning materials, and adjusts the pace and complexity to the learner’s level. That’s powerful.”
With the proliferation of digital transformation projects across sectors, especially in IT, BFSI, and healthcare, the demand for continuous, scalable, and contextual training has skyrocketed. edForce sees this as a significant opportunity to integrate AI into L&D frameworks, with a strong emphasis on cybersecurity awareness.
Cybersecurity: A Priority in the AI Learning Stack
Kaklasaria highlights that cyber awareness is increasingly becoming a boardroom-level priority. “While upskilling is important, what’s even more critical is ensuring the workforce is trained to recognise and respond to security threats—especially those enabled or exacerbated by AI.”
He notes a rise in demand for AI-based threat detection tools in training modules. “Companies now want employees to not just know what phishing is, but to understand how social engineering has evolved through AI-generated content. The threat landscape is more complex, and so must be the training.”
Generative AI tools can simulate real-world phishing attacks, malware tactics, and behavioural anomalies, allowing employees to train in realistic threat environments. This helps organisations move beyond checkbox compliance to true cyber resilience.
The Rise of Agentic AI in Enterprise Learning
Perhaps one of the most promising trends is the emergence of agentic AI—AI models capable of autonomous learning and decision-making. Kaklasaria explains, “We’re heading toward a future where AI agents can not only recommend a course but also evaluate its impact, modify it, and create a new one—all in real time.”
He envisions a future in which training agents could analyse an employee’s interaction with a CRM tool, identify inefficiencies, and autonomously launch a micro-learning module to address those gaps.
“This kind of on-the-fly training is only possible with agentic AI,” he says. “It’s where learning meets productivity.”
Caution in the Age of Data and Deepfakes
Yet, the rapid adoption of generative AI brings its own set of challenges. Chief among them is data security.
“Enterprises are realising that integrating AI into L&D comes with risks—especially when models are fed proprietary or sensitive data,” Kaklasaria warns. “This is where private LLMs and secured AI platforms become critical.”
He also flags the issue of deepfakes and misinformation. “We’re teaching employees to be not only digitally skilled but digitally wise. The human layer is still essential in validating what the AI says.”
The Path Ahead: AI and Human Synergy
Kaklasaria believes that the future of learning is hybrid—not just in terms of online and offline, but also human and AI.
“At edForce, we’re not replacing human trainers with AI—we’re augmenting them. The ideal learning model is one where AI handles the repetitive and analytical tasks, while humans provide empathy, mentorship, and real-world insight.”
As generative AI continues to redefine the contours of enterprise learning, companies will need to recalibrate their strategies—not just to include AI, but to partner with it.
In Kaklasaria’s words, “The goal is to build a learning ecosystem where AI doesn’t just support the workforce—it elevates it.”
