Research
CAISI research hub
Start here if you want the primary artifacts, report framing, and measurable findings first.
Independent research and operating notes on AI agent governance.
Author Profile
David writes at CAISI about AI agent governance, execution boundaries, evidence quality, and the operating patterns that let AppSec, platform, and engineering leaders adopt autonomy without losing control.
David currently works in cloud and AI platform leadership. His writing focuses on the execution boundary where AI systems stop being ideas and start changing real engineering workflows, repositories, and operational risk.
The throughline in his work is simple: if a system can change the real world, teams need to know what happened, what was approved, and what they can prove later without rebuilding the story from memory.
David is currently Head of Cloud & AI Platforms at CDW. Before that, he held senior cloud, data, and application leadership roles at Rackspace Technology and OpsGuru, and earlier he co-founded Bloomth with a focus on cloud architecture.
Earlier in his career, he worked in strategy and investment banking. That background shows up in how he writes about AI systems: less as a trend story, more as a control, evidence, and decision-quality problem.
At CAISI, David writes and publishes around reproducible AI governance research, benchmark language for buyers, and operating notes for teams building governed autonomy in software delivery.
That work sits across three layers: measured research, buyer-facing evaluation language, and practical implementation patterns that teams can use in real repos and workflows.
Research
Start here if you want the primary artifacts, report framing, and measurable findings first.
Framework
The main framework series on repo contracts, orchestration, isolation, evaluation, proof, and maturity.
Benchmarks
The benchmark series on risk scenarios, control efficacy, proof completeness, and pilot design.
Reference
A concise guide to the core ideas, terms, and decision tests that show up across the CAISI site.