Deep Learning Upskilling Program for Agentic Development Tools

The Customer

A Fortune 500 Energy Company

The Project

Deep Learning Upskilling Program for Agentic Development Tools

Overview

Improving partnered with a leading American energy company to design and deliver a deep learning upskilling program focused on agentic software development tools. The initiative aimed to scale early successes with AI-driven development practices across a large and diverse development organization. By combining structured workshops with embedded coaching, the program ensured that learning translated into real-world application. The solution integrated seamlessly with the client's existing collaboration platforms, enabling efficient delivery and adoption. This strategic approach positioned the organization to accelerate innovation, improve delivery velocity, and reduce costs through AI-enabled development practices.

The Business Problem

The leading American energy company had achieved isolated success with agentic development tools but faced challenges in scaling these capabilities across its large and diverse organization. The company needed a structured approach to upskill development and product teams quickly while maintaining operational continuity. Key business drivers included labor compression, faster delivery of functionality, and cost reduction. Without a scalable solution, the organization risked inconsistent adoption and missed opportunities to leverage AI for competitive advantage. The urgency of the initiative was amplified by the need to meet evolving customer demands and maintain market leadership.

Our Approach

Improving developed a custom deep learning program tailored to the needs of a leading American energy company, focusing on AI agentic tools. The approach combined interactive workshops with embedded coaches who worked alongside teams weekly, ensuring that training translated into practical outcomes. Delivery leveraged familiar platforms such as Microsoft Teams for workshops, SharePoint for tracking, and Microsoft Forms for data collection, supported by a custom-built tracking tool. The program was rolled out in overlapping waves to meet aggressive timelines and included upskilling select company employees to serve as embedded engineers. This collaborative, hands-on model fostered rapid capability building and cultural adoption of AI-driven practices.

Business Benefits

• Accelerated AI Maturity 93% of teams advanced at least one stage of AI development maturity, with 70% reaching stage three during the first two waves.

• Operational Efficiency One team reported reducing the time to correct production issues from 30 minutes to approximately 3 minutes after applying new skills.

• Scalable Capability Building The program successfully engaged 128 development teams across diverse technology stacks, creating a foundation for enterprise-wide AI adoption.

Technologies and Methodologies Used

• Claude by Anthropic Used as a core AI tool for agentic development training and application.

• Microsoft Teams Primary platform for delivering interactive workshops and collaboration.

• SharePoint Used for tracking progress and managing program documentation.

• Microsoft Forms Employed for data collection and feedback during the program.

• Custom Tracking Tool Developed using Claude and HTML to monitor engagement and progress.

Partnerships

The engagement was primarily delivered by Improving, leveraging Anthropic's Claude as the key AI tool. No additional external partners were involved, ensuring a streamlined collaboration between Improving and the client. Internal collaboration with the client's teams was critical, particularly in upskilling select employees to act as embedded engineers. This partnership model fostered trust, knowledge transfer, and sustainable capability development.

Conclusion

The deep learning upskilling program delivered by Improving enabled the client to scale AI-driven development practices across its enterprise effectively. By combining structured learning with embedded coaching, the initiative achieved measurable improvements in team maturity and operational efficiency. The program’s design emphasized collaboration, adaptability, and real-world application, aligning with the organization’s strategic goals for innovation and cost optimization. This engagement highlights Improving’s ability to deliver transformative outcomes through a people-first, results-oriented approach.