Buyers now send AI agents to research, compare, negotiate and complain. The advantage shifts from persuasion to machine-readable truth. How to get ready.
Agents with 95 percent reliable steps finish 60 percent of ten-step tasks. A practitioner guide to failure classes, recovery patterns, and reversibility.
AI SOC agents explained for CISOs: which security tasks to automate, which to keep human, the new attack surface, and how to measure an agentic SOC.
Snowflake, Databricks and the hyperscalers want to host your agents. Keep data controls there; keep the agent runtime separable. A layer-by-layer guide.
Computer-use agents reach systems with no API, but they are the slowest, least reliable way in. When to use them, the benchmarks, and the controls.
RPA vs AI agents for enterprise automation: where bots still win, where agents earn their cost, the hybrid pattern, and how to triage a bot portfolio.
Do AI SDRs work? What AI sales agents deliver, where they burn domains and brand, the compliance rules, and when to assist, automate or replace by motion.
Agent evals must score a sequence of actions, not one answer. The five test layers, pass^k reliability, graders and release gates by action risk.
Buying an agent from every system of record recreates SaaS sprawl one layer up. How CIOs should choose, and which controls must stay central.
Agents act through integrations. iPaaS and API vendors hold the connectors, credentials and audit trails, and MCP makes governing that layer worth more.
Most tasks run better on one well-tooled agent. Multi-agent systems pay off only for parallel work, isolated context or independent checks.
The first agents trusted with company money will buy for the enterprise. Control moves from approval chains to policy as code and card-level limits.
Deep analysis across the systems, strategies, and economics that shape modern technology.
Premium Members Get: Exclusive deep-dive research · Architecture playbooks · Executive briefings · Full archive access
