OUR EXPERTISE

AI Workforce Enablement

With an operating model built for a world before AI, your workforce is struggling to reach its full potential. Though custom programming tailored to your teams’ unique needs, we’ll cut through the AI noise and focus on what we know delivers real business value. You’ll learn how to strategically leverage AI capabilities that enable your workforce to push beyond what’s currently possible.

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Executive Training

Executive Training

We equip leadership with the foundational knowledge needed to successfully drive AI-enabled transformation. We’ll walk you through the AI basics, explore practical use cases, and collaboratively work to identify opportunities to thoughtfully leverage AI capabilities.

02

Workforce Transformation

Workforce Transformation

Your competitive advantage now depends on a workforce that has the training to harness AI tools effectively. Through hands-on training and embedded co-teaming, we’ll create a plan that equips your workforce with the skills they need to rapidly move up the adoption curve and scales for the long term.
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Case Study

Case Study

Creating an AI-Driven Operating Model for One of the World’s Largest Banks
We redesigned the operating model for a North American bank by embedding AI across the full software development lifecycle. The result? Faster delivery teams, higher output, and a system built to scale that doesn’t depend on increased headcount.

12 weeks
Phase 1 Rapid Baselining
6+
Embedded Delivery PODs
Full SDLC
AI Coverage Define to Deploy
// THE CHALLENGE
  • AI investment treated as a tooling exercise rather than an operating model change
  • Delivery processes complex, siloed and inconsistent across business units
  • Institutional knowledge undocumented and not codified, limiting AI readiness
  • No clear measurement framework to track AI adoption or delivery improvement
  • Governance and accountability models unchanged to adapt toAI landscape
// THE SOLUTION
  • 1 week immersive AI SDLC bootcamp per pod for training and co-planning followed by
  • Electric Mind engineers embedded into active delivery PODs to co-implement AI-enabled practices in real work
  • AI acceleration model defined and applied across Define, Design, Build and Test phases with human control gates
  • Future state operating model and prioritized roadmap delivered across people, process and technology
  • Enterprise training strategy and enablement plan to sustain improvements at scale
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