No hype. No fluff. Just practical insights on how AI agents are changing the way small and mid-size businesses operate.
A security startup's autonomous AI agent breached McKinsey's Lilli chatbot — used by 40,000+ employees — in just two hours. It accessed 46.5 million chat messages, 728,000 confidential files, and 95 writable system prompts. The lesson isn't about McKinsey. It's about every business running AI agents without structural security.
Salesforce's Agentforce IT Service attracted 180+ organizations in four months and promises 24/7 autonomous IT support for small businesses. But the real questions aren't about features — they're about control, failure modes, and what happens when the agent gets it wrong.
SaaStr is running 30 AI agents in production and says it's harder than managing the 12 humans they had at peak headcount. Not because the agents don't work — because nobody built the management layer. Here's what agent management actually requires.
A new survey of 2,121 small business owners found complexity — not cost — is what blocks back-office AI adoption. The real problem isn't security or infrastructure. It's that most deployments put the LLM in charge of business logic it should never own. Here's how to use AI agents where they actually excel.
A new consortium briefing found that only 21% of executives have complete visibility into their AI agent permissions. Meanwhile, IBM caught an autonomous agent approving refunds outside policy — not because it was hacked, but because nothing stopped it. Here's how to audit and fix your agent permissions before something similar happens to you.
A CNBC investigation published this week named the biggest AI risk in production: silent failure at scale. Agents that don't crash — they just compound small errors into operational drag, compliance exposure, and trust erosion over weeks. Here's what that looks like and what to do about it.
DBS Bank and Visa just tested AI agents making credit card transactions independently. That's not a chatbot writing emails — it's software spending money. Here's what businesses need to figure out before letting agents take consequential actions.
Security hardening for AI agents is necessary. But hardening applied wrong doesn't just fail — it creates new failure modes, buries real signals under false alarms, and hands attackers the exact leverage they need. Here's where hardening goes wrong and how to tell the difference.
Business Insider's solopreneur story is real. So is the METR study showing developers getting 19% slower with AI tools. Both are true at the same time. Here's what separates the businesses making it through the J-curve from the ones stuck at the bottom.
Intuit and Anthropic announced a partnership on February 24th that will let mid-market businesses build custom AI agents with 'no technical expertise required.' Building is the easy part. The five skills required to run agents well don't come with any platform.
Business Insider just profiled a solo founder running his entire company with 15 AI agents. The headline sounds impressive. The architecture questions it raises are the part nobody's talking about. Here's how to run multiple agents and actually know what each one is doing.
Mustafa Suleyman says all white-collar jobs will be automated in 18 months. He's probably directionally right. But his timeline ignores the hardest part of the problem — and it's the part that matters most for your business.
Start the free trial. Hire your first Teammate in minutes and put it to work on what you're reading about.
Start Free Trial