SiliconSoftwarePlatformsAI Agents
Building Agentic Systems
for Enterprise Solutions
Published Research
Measured work on what AI agent architectures cost, with the method fixed before the run. The instrument is specified in AEQ; applied builds are in case studies; the systems themselves are under projects; the explainers that read those systems through cost are under reference; shorter pieces published elsewhere are collected under writing. What is published here sets out the method all of it is held to.
- White PaperThe Cost of a QuestionThe Measured Economics of Certified AI Agents vs. Per-Seat SaaSThe measured economics of certified AI agents against per-seat SaaS pricing, with a break-even accounting.Read the paper
- White PaperAgentic Architecture for Enterprise Asset ManagementDesign, Development, Testing, Validation, and SimulationA technical reference for a three-layer AI agent architecture applied to enterprise asset management: seven domain tools behind an LLM reasoning layer, with test results, Monte Carlo capital planning, and measured cost and latency benchmarks.Read the paper