From BFSI to Manufacturing: How Industry-Specific AI Upskilling is Creating the Workforce of Tomorrow
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This article has been contributed by Mr. Bikram Mishra, Chief Human Resource Officer, Dvara KGFS
AI in Workforce Development: The Dvara KGFS Experience
AI is reshaping industries at an unprecedented pace, yet its role in workforce development is still evolving. In the BFSI sector, where Dvara KGFS operates, adoption goes beyond automation, it strengthens recruitment, knowledge management, and employee growth. While manufacturing leverages robotics and sensors for operational transformation, financial services demand sector-specific AI applications tailored to retail finance, lending, and customer service workflows.
Sector-Specific AI Learning
At Dvara KGFS, AI begins at recruitment. During the pandemic, automated systems helped shortlist candidates by scanning CVs for relevant keywords, saving recruiters valuable time and enabling richer human interactions. Today, agentic AI supports conversational assessments, engaging candidates, recording responses, and scoring them against predefined criteria—particularly useful for sales and credit roles.
Yet challenges remain. Many candidates communicate in regional languages, requiring AI to evolve in multilingual comprehension. While AI handles initial screening, fitment checks, and even salary expectation analysis, final interviews remain human-led to assess empathy, body language, and nuanced judgement. This highlights the need for industry-specific AI tools that can balance efficiency with the human dimension central to BFSI.
Personalised Learning Journeys
Beyond hiring, AI is transforming learning and engagement. DOST, our multilingual AI chatbot, gives employees instant access to policies, benefits, holidays, and career programs in their preferred language, ensuring clarity and autonomy in decision-making.
The Career Compass program, under the Grow Within Dvara initiative, provides personalised pathways and microlearning opportunities. For example, a wealth manager aspiring to move into enterprise business loans is guided by an Individual Development Plan (IDP) with tailored skills, training, and performance benchmarks.
Performance is continuously tracked, with incentives for consistent achievement and targeted support for those who struggle. This not only drives retention but also builds a stronger, future-ready workforce.
Balancing AI with Human Skills

While AI enhances efficiency, soft skills remain irreplaceable. Addressing “stress customers”—clients with overdue payments or complex financial needs—requires empathy, patience, and communication. To strengthen these capabilities, we are developing microlearning and gamified modules that simulate real-world scenarios in crisis management and conflict resolution. These interactive sessions help employees practice judgement, creativity, and interpersonal skills, ensuring AI support is complemented by human touch.
Driving Engagement and Retention
AI also strengthens engagement and retention. Tools such as DOST, Career Compass, and Grow Within Dvara initiative foster transparency, career progression, and motivation—even for employees who are not immediate top performers.
AI further supports Performance Improvement Programs (PIP) and Performance Excellence Programs (PEP) by tracking progress, identifying skill gaps, and recommending personalised learning paths. This reduces the stigma of performance management, shifting the focus from judgement to growth. Employees gain actionable insights in an accessible format, driving ownership of their development and helping them discover their best-fit roles within the organisation.
Lessons for the Future of Work
The Dvara KGFS journey offers key lessons:
- Context matters: AI must be tailored to specific needs; generic solutions risk missing operational and cultural nuances.
- Personalisation drives engagement: Tools like DOST, Career Compass, and Grow Within Dvara initiative show how individualised pathways boost motivation and retention.
- Human skills remain vital: Even as AI automates data-driven tasks, emotional intelligence, problem-solving, and interpersonal skills continue to define success.
Conclusion
Dvara KGFS demonstrates how AI, when customised for BFSI, can enhance recruitment, enable personalised learning, and integrate technical and soft skills to shape the workforce of tomorrow. Unlike manufacturing’s focus on robotics and automation, financial services show that AI’s greatest value lies in amplifying human potential.
By embedding AI across hiring, learning, and engagement, organisations can build resilient, motivated, and future-ready teams—equipped not just to adapt, but to thrive in an evolving business landscape.

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