Webinar series
Most operational systems were built to execute known work efficiently. They weren’t built to absorb sustained complexity, adapt continuously, or embed intelligence as scale increases.
The Intelligence Layer is a four-part video series for leaders responsible for systems that must perform with industrial-grade precision, under real load, real change, and real accountability.Episode 1: Now Available
AI breaks the traditional tradeoffs between SaaS and custom engineering. But removing cost and speed barriers does not remove architectural risk.
This episode explores how AI changes what is economically possible and what it takes to move intelligence into execution without destabilizing systems.
Featuring:
Derek Perry, Chief Technology Officer
Josh Scott, Senior Director of Solutions
Episode 2: Now Available
Traditional QA was built for a world where change was manageable. That world is gone.
This episode explores how predictive quality intelligence changes what's possible — and what it takes to build AI-assisted QA with the guard rails that actually hold.
Featuring:
Josh Scott, Senior Director of Solutions
Jarius Hayes, Quality Intelligence Engineering Lead
Coming Soon
Access to data does not equal operational leverage. This episode focuses on how intelligence moves from analysis into execution—and what breaks when it does not.
Coming Soon
When decisions carry financial and operational consequence, data quality and validation become earnings-critical. This episode explores how trust is engineered into operational intelligence.
Series Contributors
This series is supported by Sparq operators who work inside the systems that govern growth. Their perspectives are shaped by execution: how systems behave under load, where change breaks down, and what it takes to move intelligence into workflows without destabilizing what already works.
Chief Technology Officer
GM, The Shop
Competency Lead, Quality Engineering
Senior Director, Solutions
It provides a consistent, governed path from signal to execution, so intelligence can move into live systems without destabilizing what already works. Operational data becomes decision-ready. Decisions move directly into workflows. Accountability stays intact.
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