Driving AI and Generative AI Awareness at Bank of Baroda with ADaSci
The banking industry is undergoing a structural shift driven by artificial intelligence and, more recently, generative AI. From fraud detection and credit risk to customer service and compliance, AI is no longer experimental. It is operational infrastructure.
For large banks, the challenge is not access to technology but readiness of people. As AI systems increasingly influence decision-making, frontline officers, managers, and functional leaders must understand not just what AI can do, but how it should be applied responsibly within regulated financial environments.
Bank of Baroda, one of India’s leading banks with a vast national and international footprint, recognized this inflection point early. The bank’s leadership identified AI awareness as a critical capability for its officers, essential to sustaining its digital transformation agenda and future-proofing operations.
The Core Challenge
AI adoption in banking brings unique complexities.
While senior leadership may understand AI strategically, a large segment of banking officers often lack hands-on exposure to how AI and GenAI work in real operational contexts. The pace of AI innovation had created a widening knowledge gap between technology potential and workforce readiness.
Three specific challenges emerged.
First, limited understanding of AI-driven banking innovations across functions.
Second, lack of practical exposure to AI-powered tools, especially no-code and decision-support systems.
Third, increasing concern around AI governance, risk, bias, and ethical use in a highly regulated environment.
The bank needed an initiative that could rapidly build awareness without overwhelming participants or requiring technical backgrounds.
The Solution
A High-Impact AI Awareness Workshop
Bank of Baroda partnered with ADaSci to design and deliver a focused AI and Generative AI awareness workshop tailored specifically for the banking industry.
The objective was clarity, not complexity.
The program was custom-designed for banking professionals, with content mapped directly to real-world banking scenarios. Instead of abstract theory, the workshop emphasized relevance. AI was framed as a practical enabler for fraud detection, cybersecurity, automated KYC, risk assessment, and customer experience.
The format was instructor-led and highly interactive. Live demonstrations, hands-on exposure to zero-code AI tools, and open Q&A sessions ensured sustained engagement. Importantly, the program was delivered at scale, training over 600 officers in a single day through an online session.
Program Design and Learning Modules
The workshop was structured to build understanding progressively.
Participants began with foundational concepts, demystifying AI and Generative AI while grounding them in banking relevance. Productivity tools and GenAI capabilities were introduced through practical examples rather than technical deep dives.
The program then moved into AI use cases in banking, covering fraud detection, cybersecurity, AI-powered customer support, and operational automation. These were not presented as future possibilities but as active, deployable capabilities already shaping the industry.
Hands-on sessions followed, exposing participants to zero-code AI tools used for financial data analysis, risk management, and process automation. This was a critical shift. Officers could see how AI could be used without writing code or managing complex systems.
The workshop concluded with focused discussions on AI risks and governance. Topics such as regulatory compliance, bias mitigation, ethical AI adoption, and accountability frameworks were addressed in depth, reflecting the realities of banking oversight.
Learning Outcomes
The outcomes were immediate and measurable.
Participants reported a significant increase in foundational AI and GenAI awareness. The no-code approach resonated strongly, helping officers visualize how AI could be applied within their roles. Confidence in engaging with AI-driven tools increased, shifting perceptions from uncertainty to readiness.
Equally important was the emphasis on governance. Officers gained clarity on ethical considerations, risk management, and compliance requirements, reinforcing trust in AI as a controlled and responsible capability rather than a black box.
Measurable Impact and Engagement
The scale and engagement of the initiative underscored its effectiveness.
Over 600 banking professionals were trained in a single session. Feedback indicated exceptionally high relevance, with 100 percent of participants finding the program actionable and aligned to their roles. Officers expressed strong interest in exploring AI-driven workflows further, signaling a mindset shift toward adoption.
The banking-specific framing ensured insights translated directly into day-to-day operations rather than remaining conceptual.
Strategic Significance for Bank of Baroda
This initiative marked more than a training intervention. It represented a cultural step toward AI readiness.
By focusing on awareness, applicability, and governance together, Bank of Baroda created a shared understanding of AI across its officer cadre. This alignment is essential for responsible scaling of AI initiatives across risk, operations, and customer-facing functions.
The workshop also established a repeatable model for future AI capability-building programs, whether through deeper technical tracks, role-specific modules, or GenAI-focused use case explorations.
Final Takeaway
For banks, AI transformation is as much about people as it is about platforms.
The collaboration between Bank of Baroda and ADaSci demonstrates how targeted, high-impact awareness programs can accelerate AI readiness across large, regulated institutions. By combining practical exposure, domain relevance, and governance-first thinking, the initiative helped officers move from curiosity to confidence.
It offers a blueprint for how BFSI organizations can responsibly prepare their workforce for an AI-driven future without requiring every employee to become a technologist.
ADaSci