How Digital Lights accelerated AI adoption andreduced costs 4xusing Team-GPT

Digital Lights is a part of Wiser Technology (BSE: BNR) which builds and operates advanced mission-critical software solutions for the world's leading organizations.
The company delivers technology innovation, extensive domain expertise, and engineering excellence to its customers in the automotive, aerospace & defense, telecommunications, and financial service industries.

• Industry: Software Development
• Company size: 400+

Problem

Solution

Result

Challenge

As an engineering-focused company, Digital Lights (now part of Wiser Technology), quickly realized AI’s benefits and wanted to lead the innovation in developing high-quality software. However, they faced a significant hurdle:existing solutions were expensive and didn't provide the necessary tools to drive widespread adoption within their organization.

Solution

• Conducted an internal survey on AI tool adoption rates
• Created a company-wide Objective and Key Result (OKR): "Use Team-GPT for at least 100 messages in at least 10 chats in the span of 2 months"
• Utilized usage analysis to identify fast-adopting teams
• Recruited these teams to spread awareness and accelerate adoption across the organization

“Utilizing the usage analysis that Team-GPT provides, we were able to create a trackable plan for adoption."

Christian Vachev
AI R&D Lead

Results

• 4x Cost Reduction: Four times reduction in the cost of providing every employee with access to the latest LLM
• Accelerated Adoption: Team-GPT's analytics, collaborative features, and support enabled Digital Lights to identify early adopters and spread AI adoption across the entire organization.
• Improved productivity: Work efficiency improved as more employees integrated AI tools into their workflows.
• Tracking: Gained ability to track and analyze AI adoption rates.

“Team-GPT's solution provided us with an easy-to-use tool to leverage any LLM at a fraction of the cost compared to OpenAI's ChatGPT directly. Additionally, we were quite eager to try out how we could use it collaboratively.”

Christian Vachev
AI R&D Lead