Ron Mitchell

Quick summary – Autonomous AI agents are software “workers” that use large language models (LLMs), APIs, and automation tools to complete multi-step tasks with little human hand-holding. – Instead of one-off prompts, agents can research, take actions (like update a CRM, send emails, or compile data), and loop until a business outcome is reached. – […]

Summary AI “agents” — autonomous, task-oriented AI that can call apps, fetch data, and take multi-step actions — are no longer just demos. Over the past year we’ve seen major cloud providers and tool vendors release agent frameworks and customers start deploying them in real business processes: sales outreach, customer service triage, financial reporting, and

Quick summary AI agents — software that can autonomously complete tasks across apps, pull data, and generate actions — moved from proofs-of-concept to practical tools this year. Better integrations, cheaper compute, and improvements in retrieval-augmented models mean agents can now create reports, update CRMs, triage support tickets, and even run multi-step sales outreach with less

The story (short) AI “agents” — autonomous AI workflows that can act on data, talk to apps, and carry out multi-step tasks — have moved out of labs and into business pilots. Across industries, teams are using agents to qualify leads, automate follow-ups, generate sales reports, and update CRMs without manual handoffs. The result: faster

The story in one sentence Major cloud vendors and AI startups are rolling out low-code/no-code “AI agents” and builder platforms that let teams create autonomous assistants for tasks like lead follow-up, contract review, and automated reporting — without months of engineering work. Why this matters for business – Faster ROI: You can automate repetitive sales

Summary Across industries, businesses are moving from experimenting with chatbots and single-task tools to deploying AI agents — autonomous software that can take multi-step actions, pull data from systems, and generate reports or decisions without constant human prompting. These agents are already handling tasks like lead qualification, customer triage, contract summarization, and automated monthly reporting.

Quick story Autonomous “AI agents” — little AI programs that can read your data, take actions, and talk to other systems — moved from labs into real business pilots in 2024–25. Companies are no longer just testing chatbots; they’re deploying agents that draft personalized outreach, generate reconciled monthly reports, update CRMs automatically, and kick off

What’s happening AI “agents” — autonomous workflows that combine language models, connectors, and business logic — are moving from labs into everyday work. Teams are already using them to research leads, draft personalized outreach, triage support tickets, update CRMs, and generate management reports. Instead of one-off chat responses, these agents run multi-step tasks end to

Quick summary AI agents — autonomous, task-focused AI that can read your documents, talk to systems, and take actions — have moved from demos to real business use. Companies are now using agents to automate routine work (like lead follow-up), generate fast operational reports, and run multi-step processes across tools. That means faster response times,

Summary AI agents — software that can act autonomously to complete tasks like qualifying leads, scheduling meetings, or generating reports — are no longer just lab experiments. Over the last year many teams have moved pilot agents into production, connecting them to CRMs, calendars, and data warehouses so the agents can run routine sales and