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If you're re-prompting an AI agent every time a recurring task comes up, you're not automating. You're babysitting it. The real shift happens when agents run inside workflows: • Tasks run on a schedule • Outputs are routed for review or archiving • Work scales But automation without boundaries isn't innovation. It's a liability. What makes an agent useful AND trustworthy at scale? Enterprise-grade workflow engines isolate the environment so agents only access what they need, with outputs landing in a protected, governed boundary. The companies that win with AI won't have the most prompts. They'll have the best systems for repeatable, trusted work. In our latest episode of AI Explainer, our CTO Ben Kus breaks down how combining agents with workflow automation changes what's actually possible. https://lnkd.in/gS-X4zKS What's that one recurring process you think your team should stop doing manually?
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