Voice AI Benchmarks Lie by Omission: How to Test Speech Recognition on Your Calls
Build a business-specific voice AI benchmark for noise, accents, overlapping speech, diarization, critical entities, latency, hallucinations, and review cost.
Technical Resources
Technical reference material on AI infrastructure, automation protocols, and evaluation frameworks. Written for teams assessing AI solutions for B2B operations.
The Best Embedding Model for RAG Is the One That Wins on Your Data
Compare embedding models for enterprise RAG by retrieval quality, cost, latency, multilingual support, governance, and migration risk before re-indexing your data.
AI Agents Are Not Automation: What Must Exist Before You Let Software Act
Learn what processes, permissions, controls, data, and approval rules must exist before an AI agent can safely act inside your business.
How to Evaluate an AI Agent Before Production: A Practical B2B Framework
Test AI agents for task success, tool use, safety, cost, resilience, and operational control before allowing them to act in production.
MCP vs. A2A: What Enterprise Teams Must Standardize Before Connecting AI Agents
Learn how MCP and A2A connect AI agents to tools and other agents - and what identity, permissions, approvals, and controls enterprises must design themselves.
AI Governance for Mid-Market B2B: The Minimum Controls Before Production
Build a practical AI governance model covering ownership, data, vendors, evaluation, approvals, incidents, and model changes - without enterprise bureaucracy.
Evaluating AI for Your Operations?
We start every AI engagement with a diagnostic to separate the hype from what actually pays off.