/

Building an enterprise-scale AI workforce 

Building an enterprise-scale AI workforce 

Core challenge

A top US healthcare payer had a large software team and a very small central Al team

Industry

Healthcare and Lifesciences  

Use case

Workforce transformation 

Solution 

AI-powered structured workforce transformation 

Impact 

Expanded central AI capacity 

Client overview

The client is a large global healthcare enterprise managing a significant portfolio of AI initiatives, supported by a central AI team and a large, distributed engineering workforce. 

Challenge

The client had an ambitious roadmap of hundreds of AI projects planned over the next 2-3 years, but its central AI team consisted of only few hundred professionals.

While the client had a pool of over tens of thousands of software developers with strong coding capabilities, these teams lacked the AI expertise required to contribute to AI delivery. This created a critical capability bottleneck.

Generic training programs and tool-based approaches were insufficient-the objective was not course completion, but building real, deployable AI expertise aligned to the client’s project pipeline and healthcare context. 

Solution

An AI powered structured workforce transformation program 

We designed an AI powered structured workforce transformation program to upskill software developers into deployable AI professionals.

The program mapped the specific skills required for AI project delivery, created a mandatory learning journey linked directly to real project deployment, and built a scalable community of AI builders to augment the central AI team.

AI-powered program lifecycle

The program lifecycle was completely AI powered with AI powered skill assessment, AI generated course content and finally AI powered grading. 

The focus was on applied capability, not passive learning - enabling developers to transition into active contributors on live AI initiatives across the enterprise.

This model integrated skill development, domain alignment, and deployment readiness creating a repeatable framework for enterprise-scale AI capability building. 

Impact

The program enabled the client to mobilize over tens of thousands developers against a portfolio of hundreds of planned AI initiatives, transforming a capability constraint into a scalable execution model.

Early adoption was strong, and the program expanded further following initial success demonstrating enterprise-wide relevance and positioning the client to sustain AI delivery at scale across business units. 

The program enabled the client to mobilize over tens of thousands developers against a portfolio of hundreds of planned AI initiatives, transforming a capability constraint into a scalable execution model.

Early adoption was strong, and the program expanded further following initial success demonstrating enterprise-wide relevance and positioning the client to sustain AI delivery at scale across business units.