Real Wins: Case Studies | elijah.ai
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Real Wins

I help teams get more done with automation and AI. The work looks different every time: sometimes it's governance and strategy, sometimes it's building apps and flows, sometimes it's standing up AI so people can ask questions instead of digging through data. Below are anonymized examples of what that has looked like in practice.

Fortune 500 Manufacturer

AI Delivery Framework and Idea Lifecycle

Standardizing how AI ideas get vetted, prioritized, and measured so leadership could see the pipeline and the results.

Outcome: Visible pipeline for leadership; KPIs tied to AI product value; repeatable path from idea to deployed solution.

National Retail Chain

AI-Powered IT Event Management

Letting support staff query event data in plain language instead of sifting through logs. Faster resolution, less hunting.

Outcome: Faster incident resolution; reduced manual log digging; staff can focus on fixes instead of search.

Automotive Manufacturer

Governance and Environment Optimization at Scale

Cleaning up a messy tenant, standardizing environments, and handing the internal team an operating model they could run themselves.

Outcome: Clean, secure Power Platform ecosystem; internal team owns governance; repeatable ALM process for new solutions.

Major Utility

Power Platform Strategy, Governance, and Citizen Developer Enablement

Scaling safely across 30,000+ potential users with governance, a maker hub, and a path from idea to shipped solution.

Outcome: Governance before scale; leadership visibility dashboards; faster app development via reusable components; clear idea-to-ship path.

Want to talk about what this could look like for your organization? Get in touch.