Ron Mitchell

Short summary The last year has seen a big shift: AI agents — software that can take multi-step actions, talk to apps, and learn from results — moved from research demos into real business tools. Major vendors and open-source projects released agent frameworks that make it easier to connect AI to CRMs, calendars, ERPs, and […]

Quick summary AI agents — autonomous, goal-directed systems that can plan, act, and follow up without a human typing every step — are no longer just research demos. Over the past year we’ve seen enterprise tools add agent-like features to sales stacks, CRMs, and reporting platforms. These agents can qualify leads, draft and send personalized

Quick summary AI “agents” — systems that can perform multi-step tasks (research, write, query data, take actions) — have moved out of demos and into real business tools. Vendors and open-source frameworks now let companies connect agents to CRMs, databases, calendars, and reporting systems so they can automate follow-ups, generate customer reports, and route leads

The story in a paragraph AI agents — software that plans, acts, and follows up across apps with little human direction — are moving from lab demos into real business use. Since major AI platforms introduced agent-style features, startups and enterprises are piloting agents for things like prospect outreach, expense automation, order processing, and automated

Short summary Autonomous AI agents — small, purpose-built AI programs that can read, act, and follow up across systems — are moving from demos into real business use. Teams are using agents to draft outreach, update CRMs, reconcile invoices, and generate routine reports. The result: fewer manual steps, faster turnaround, and clearer audit trails. Why

Quick summary AI has moved from experiments to practical agents you can deploy this quarter. Platforms from major vendors now let companies build tailored, low-code/no-code AI agents that connect to your CRM, knowledge bases, and reporting systems. That means AI can now do things like draft personalized sales outreach, update deal stages in your CRM,

Short summary AI “agents” — autonomous, multi-step AI tools that can take actions across apps and data — moved from research demos into real business pilots in 2023–24. Companies are using them to qualify leads, automate reporting, summarize meetings, and trigger cross-system workflows without manually stitching tools together. Why this matters for business – Faster

Short summary AI “agents” — software that can carry out multi-step tasks, talk to other apps, and make decisions — have moved from labs into real business workflows. Companies are now using agents to handle things like lead qualification, customer support escalations, routine finance tasks, and automated reporting. The result: faster responses, fewer manual handoffs,

Quick summary AI agents — software that can autonomously carry out tasks like researching leads, drafting outreach, updating CRMs, and generating reports — have moved well past the demo phase. Over the last year, cloud vendors and startups shipped more robust “agent frameworks,” and forward-looking companies are putting agents into production to handle repeatable sales

What’s happening Over the past year businesses have moved from experimenting with chatbots to deploying autonomous AI agents that complete multi-step tasks — for example, agents that research prospects, draft personalized outreach, update CRMs, and generate weekly performance reports. Major vendors and no-code platforms (think custom GPTs, Copilot-style assistants, and orchestration tools) are making it