Driving AI Awareness and Cross-Functional Capability Building at IOL Chemicals and Pharmaceuticals Limited with ADaSci

Recognizing this shift, IOL Chemicals and Pharmaceuticals Limited partnered with ADaSci to build AI awareness and practical capability across its diverse teams.

The Core Challenge

AI adoption at a cross-functional level introduces a different set of challenges compared to technical implementations.

At IOLCP, teams across Marketing, Logistics, IT, HR, and Operations had varying levels of exposure to AI. While there was strong interest, the ability to translate AI potential into day-to-day workflows remained limited.

Three key challenges emerged -

First, a lack of foundational AI literacy across non-technical teams.

Second, limited awareness of how modern AI tools, especially generative AI assistants, could be applied to real business tasks such as research, reporting, and automation.

Third, the absence of structured exposure to hands-on, no-code AI applications that could deliver immediate productivity gains.

The organization needed a program that could unify understanding across departments while enabling practical, role-specific application.

The Solution

A Cross-Functional AI Awareness and Capability Program

To address these challenges, ADaSci designed and delivered a comprehensive, in-person AI awareness and capability-building program tailored for cross-functional teams.

The objective was simple: make AI usable, not theoretical.

The program brought together over 100 participants from different departments and seniority levels, creating a shared learning environment that encouraged collaboration and cross-functional thinking.

Rather than focusing on technical depth, the training emphasized practical utility, showing how AI tools can directly enhance productivity, decision-making, and operational efficiency.

Program Design and Learning Modules

The program followed a structured yet flexible format designed to maximize engagement and applicability.

It began with an intensive 8-hour AI awareness bootcamp, introducing participants to core concepts such as AI fundamentals, generative AI, and prompt engineering. These sessions demystified AI and positioned it as a practical assistant rather than a complex system.

Participants were then introduced to a range of modern AI tools, including ChatGPT, Microsoft Copilot, Perplexity Pro, and Julius AI, along with emerging tools such as Kimi, PicDoc, and Napkin.

The learning experience was highly interactive, combining live demonstrations with hands-on exercises and guided problem-solving.

Following the bootcamp, 2-hour department-specific workshops were conducted. These sessions focused on applying AI tools to real use cases within each function, whether it was market research in marketing, workflow automation in HR, or operational analysis in logistics.

Participants also explored how to build simple no-code AI applications and design personalized AI workflows tailored to their roles.

Learning Outcomes

The impact of the program was both immediate and practical.

Participants developed a strong foundation in AI literacy, gaining clarity on how prompting, AI assistants, and no-code tools can be used in everyday tasks.

More importantly, teams were able to translate learning into action. The workshops resulted in tangible outputs, including market research for both existing and upcoming products, analysis of domestic and international product transitions, and the creation of no-code applications to streamline HR and IT processes.

Confidence in using AI tools increased significantly, shifting the perception of AI from an abstract concept to a usable business enabler.

Measurable Impact and Engagement

The scale and diversity of participation played a key role in the program’s success.

With over 100 participants across multiple departments, the initiative created a unified understanding of AI within the organization. The in-person delivery format further enhanced engagement, enabling real-time interaction, collaboration, and problem-solving.

The hands-on approach ensured that learning was not just theoretical but directly applicable to business needs, leading to meaningful adoption across functions.

Strategic Significance for IOLCP

This initiative marked an important step in IOLCP’s digital transformation journey.

By enabling cross-functional teams with practical AI capabilities, the organization strengthened its ability to make data-driven decisions, improve operational efficiency, and accelerate innovation.

The program also established a scalable model for future capability-building initiatives, including deeper role-based training, advanced AI applications, and integration of AI into core business processes.

Final Takeaway

AI transformation is most effective when it reaches every function, not just technical teams.

The collaboration between IOL Chemicals and Pharmaceuticals Limited and ADaSci demonstrates how structured, hands-on AI programs can empower cross-functional teams to adopt AI with confidence.

By combining foundational knowledge, practical tools, and real-world application, the initiative helped teams move from awareness to action—unlocking measurable business value and strengthening organizational readiness for an AI-driven future.