GenSpark helped a global beauty and cosmetics leader move beyond individual AI usage toward practical agent building and workflow automation, enabling 65 technical and business professionals through hands-on Microsoft Copilot Studio learning.

Challenge

The organization was exploring how to move beyond individual AI usage and build practical capability around agent creation and workflow automation.

The 65-person audience spanned both technical and business roles, including developers, business analysts, project managers, architects, and operations professionals. This created a valuable mix of technical expertise and business context, but also meant participants entered the program with varied levels of AI experience.

The baseline revealed a clear capability opportunity. Average AI experience stood at 2.6/5, while most participants had limited or no prior experience building agents. Confidence in Copilot Studio and workflow automation was also still developing.

The challenge was to make agent development accessible across this diverse audience while keeping the learning grounded in practical, business-relevant use cases.

Our solution

GenSpark designed a hands-on Copilot Studio enablement program to help participants move from AI consumers toward confident, guided agent builders.

The program enabled participants to:

• Identify viable business scenarios for AI agents
• Configure focused Copilot Studio prototypes
• Ground agents with relevant organizational knowledge
• Connect workflow automation where appropriate
• Test and refine agents against user needs
• Translate business requirements into practical AI use cases

Rather than treating Copilot Studio as a standalone technology, the learning journey followed a practical progression from use case to agent design, grounding, automation, testing, and iteration.

Participants explored agent design, troubleshooting, prompt engineering, and workflow automation while developing a practical understanding of how AI agents could address day-to-day business needs.

The cross-functional format also helped connect technical feasibility with real business requirements, creating a foundation for turning promising ideas into focused prototypes and future hackathon-ready use cases.

Business outcomes

The engagement generated strong participant response and established a foundation for continued applied AI enablement:

• 4.7/5 overall session rating: Participants rated the Copilot Studio enablement highly based on their learning experience.
• 100% positive recommendation signal: Participant feedback indicated strong willingness to recommend the learning experience.
• 80% rated the session Excellent: Four out of five participants providing feedback gave the engagement the highest stated rating.
• 65 professionals enabled: Technical and business participants developed practical exposure to agent creation, workflow automation, and business-focused AI use cases.
• Foundation for applied AI experimentation: The engagement created a path toward business-relevant agent prototypes, structured testing, lightweight workflow automation, and future hackathon-ready use cases.

More importantly, the engagement helped move the organization from general AI familiarity toward practical agent creation. By meeting participants at different capability levels and connecting technical concepts to real business scenarios, the program established a stronger foundation for continued AI experimentation and adoption.

For the organization, the next opportunity is to build on this foundation through focused agent prototypes, structured testing, and workflow automation, creating a repeatable path from AI interest to practical organizational use cases.