FrameworkMarch 2025 · 18 min read
Building a Trustworthy AI Agent Stack
A practical framework for evaluating AI agent platforms across reliability, sovereignty, observability, and compliance — with a scorecard you can apply to any vendor or internal build.
Key Insights
- Six dimensions every enterprise must evaluate in an agent platform
- Why sovereignty matters more than capability for regulated industries
- The observability gap: what most platforms don't tell you about agent failures
- Build vs. buy decision tree for agentic infrastructure
What's inside
01
The trust problem
Why most enterprise AI deployments fail at the trust layer, not the capability layer.
02
Six evaluation dimensions
Reliability, sovereignty, observability, compliance, orchestration, and learning.
03
Vendor scorecard
A ready-to-use framework for evaluating any AI agent platform.
04
Build vs. buy analysis
Total cost and risk analysis for custom builds vs. commercial platforms.
05
Implementation roadmap
A 90-day plan for standing up a trustworthy agent stack.
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Trustworthy AI Agent Stack
March 2025 · 18 min read