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For over 15 years I’ve worked at the intersection of technology, operations, and human experience—designing systems that scale, empower teams, and make work better.
A data-driven report distilling insights from 400+ global leaders on value creation, scaling, and governance.
![[digital project] image of a showcased project (for a ai robotics and automation)](https://cdn.prod.website-files.com/68e4119989d989fb2f18d227/68e414ad91ca89c2226e9adb_59399d41-0dec-4022-9e98-52a653cc2409.avif)
Demonstrates how AI-assisted process mapping can surface hidden bottlenecks, automate repetitive steps, and reveal measurable time-savings opportunities.
Explores how AI can analyze support tickets to identify recurring issues, predict emerging trends, and uncover up self-service potential across operations.
A hands-on initiative that turned AI curiosity into capability. Through practical workshops and workflow redesign, I helped teams overcome hesitation, automate routine work, and unlock real ROI—building confidence and culture around applied AI.
Each project in this series shows how applied AI can drive clarity, creativity, and measurable efficiency in real-world systems. Using anonymized or simulated data, I’ve replicated the same frameworks I’ve applied inside organizations — spotting automation potential, simplifying workflows, and helping teams confidently use AI in their daily work.
From identifying 40%+ self-service opportunities to turning hours of manual effort into minutes, these examples reveal how thoughtful system design turns AI from concept to capability. Together, they illustrate what’s possible when technology and people learn to think — and build — side by side.
Note: All examples were independently produced and prompt-engineered by Chris Powell as part of ongoing AI enablement and testing using anonymized or simulated data where appropriate.
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