Ajanta Pharma | AI Foundation in Pharma

About the Client

Ajanta Pharma is a leading specialty pharmaceutical company with a strong presence across branded generics, specialty therapeutics, and international markets. With manufacturing facilities approved by major global regulatory authorities and operations spanning multiple geographies, the organization focuses on quality, compliance, innovation, and operational excellence across its pharmaceutical value chain. The company continues to invest in digital transformation and workforce capability building to enhance productivity, quality, and business performance.

Workshop Objective

The objective of this program was to build foundational AI awareness among pharmaceutical professionals and demonstrate how Generative AI can be practically leveraged to improve workplace productivity, communication, documentation, and knowledge management across plant operations.

The training aimed to help participants:

• Understand the fundamentals of Artificial Intelligence and Generative AI
• Build awareness of AI applications relevant to pharmaceutical manufacturing environments
• Learn prompt engineering techniques for obtaining high-quality AI outputs
• Use AI tools to improve productivity in routine work activities
• Create professional presentations, reports, and communication materials using AI-powered tools
• Explore practical use cases across Quality Assurance, Quality Control, Manufacturing, Engineering, and Support Functions
• Develop confidence in adopting AI responsibly within regulated environments

Workshop Summary

This instructor-led AI Foundations in Pharma workshop was conducted for participants from multiple Ajanta Pharma manufacturing facilities, bringing together a diverse cohort of professionals from Quality Assurance, Quality Control, Manufacturing, Operations, Engineering, and other plant functions.

The program focused on helping participants move beyond AI awareness and understand how Generative AI can be effectively applied in day-to-day pharmaceutical operations. Through demonstrations, hands-on exercises, and real-world examples, participants explored practical ways to improve efficiency, communication, documentation, and knowledge sharing while maintaining compliance and quality standards.

Key Highlights:

• Introduction to Artificial Intelligence, Generative AI, and current industry trends
• Understanding AI opportunities within pharmaceutical manufacturing and quality functions
• Fundamentals of Prompt Engineering and structured prompting techniques
• Hands-on exercises on creating effective prompts for workplace scenarios
• Using AI for drafting reports, SOP summaries, email communication, and documentation support
• Practical demonstrations of AI-assisted problem-solving and knowledge retrieval
• Deep dive into Gamma AI for presentation creation and visual storytelling
• Techniques for converting ideas, reports, and technical content into professional presentations within minutes
• Use cases relevant to QA, QC, manufacturing, validation, audits, and compliance functions
• Discussion on responsible AI adoption, limitations, and best practices within regulated industries
• Interactive exercises enabling participants to apply AI tools to their own work challenges

The session concluded with participants identifying practical AI use cases within their respective functions and developing an action plan to integrate AI tools into routine workflows for improved productivity and efficiency.

Workshop Details

Mode: On-Site
Audience: Quality Assurance, Quality Control, Manufacturing, Operations, Engineering, and Plant Support Functions
Batch Size: 20–25 Participants
Duration: 1-Day Workshop
Customized Training Modules
Hands-on Exercises and Demonstrations
Certificates for All Participants

Trainer Profile

• Expertise in Generative AI, Prompt Engineering, ChatGPT, Gamma AI, and AI productivity tools
• Conducts AI enablement programs across manufacturing, pharmaceutical, engineering, and corporate functions
• Specializes in translating AI concepts into practical workplace applications and measurable outcomes
• Experienced in designing hands-on learning experiences focused on real-world use cases and workflow integration
• Helps organizations identify and implement AI-driven productivity improvements across business functions
• Known for highly engaging, implementation-focused workshops that accelerate AI adoption and user confidence