Where we are today
Agents combine LLMs with tools: browsers, APIs, calendars, and code runners. Most production use is human-supervised β approve before send, review before deploy.
Trends to watch
Multi-agent teams for research and ops.
Deeper CRM and support integrations.
Smaller, cheaper models running specialized sub-tasks.
Risks & guardrails
Hallucinated actions, data leaks, and runaway API costs. Teams need permissions, audit logs, and kill switches.
How to prepare
Start with one bounded workflow (e.g. weekly report generation). Measure time saved and error rate before expanding agent autonomy.