Software that does not just answer but acts: the agent launches, the rules forming around them, and what works when a business lets software take the next step.
The first U.S. regulatory action aimed squarely at autonomous AI agents targets the labs that build them. The theory behind it, that people and companies answer for what their software does, reaches much further.
Muse for Small Business connects to the tools owners already use and drafts the plans, campaigns and emails they never have time for. The free tier is the headline. The permissions are the story.
The platforms are giving away general-purpose agents. The work that actually saves a small business time usually lives in the gaps between its own systems, and that is where custom builds earn their keep.
Checkout inside a chat window has been live for a year, and payment platforms have quietly switched agent support on for millions of merchants. The new problem is not access. It is whether an agent can read your store well enough to pick it.
The demos are easy and the deployments are not. What separates an assistant that earns its place from one that gets switched off.
Search used to send people to a list of links. Increasingly it hands them a finished answer. For local and small businesses, the job has shifted from ranking on a page to being one of the few names an AI system is willing to cite.
Agents are the part of artificial intelligence that takes actions: booking the appointment, drafting and sending the email, reconciling the order, completing the purchase. That shift, from software that suggests to software that does, is moving faster in 2026 than any other part of the AI story, and it changes the questions a business has to ask.
This desk covers agents from the operator’s side. We report on platform launches when they change what a small or mid-sized company can do, on regulators when they change who is accountable, and on incidents when they show where the guardrails fail. We are specific about permissions, approvals and costs, because that is where agent deployments succeed or quietly go wrong.
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An AI system that can take actions on a user’s behalf, such as browsing, sending messages, booking appointments or completing purchases, rather than only answering questions.
Agent launches, regulation and liability, agentic commerce, security incidents and how small and mid-sized businesses deploy agents safely.
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