Ron Mitchell

Short summary AI agents — autonomous, task-focused AI that can read data, take actions, and talk to other apps — have moved from demos to real-world use. Over the past year, major cloud providers and startups released low‑code agent toolkits and plug-and-play connectors that make it easier to automate complex workflows: think an AI that […]

Quick story summary – Over the past year we’ve moved from demos to real deployments: AI agents — autonomous software that can carry out multi-step business tasks (research, follow-up, scheduling, basic negotiations, data collection) — are now being piloted and put into production across sales, ops, and customer service. – These agents are powered by

Quick summary AI agents — software that can autonomously run tasks, talk to apps, and make decisions — have moved from demos to practical business tools. New builder platforms, better integration with CRMs and ERPs, and improved retrieval-augmented models mean agents can now handle end-to-end workflows: qualifying leads, updating pipelines, generating weekly reports, and even

Quick summary AI agents — autonomous, goal-driven assistants that can act across apps and data sources — have moved from experimentation to real business use. Instead of one-off chat answers, modern agents can run a multi-step process: gather data, update systems, send messages, and generate reports — all with little human direction. Why this matters

Short summary AI agents — autonomous, goal-oriented AI programs that can plan, act, and iterate on tasks — moved from experiments into practical tools in 2023–24. Companies now use agents to gather competitive intel, generate and update sales materials, automate routine customer outreach, and run recurring reports. The result: faster decisions, fewer manual steps, and

Summary AI agents — goal-driven AI assistants that connect to your systems and act on behalf of users — have moved from labs to real business use. Instead of a single chatbot, modern AI agents can pull data from CRMs and ERPs, run queries, draft proposals, trigger workflows, and hand off to humans when needed.

Short summary There’s been a clear shift: AI agents—autonomous, task-focused AI programs that can act on behalf of users—are moving from experimentation into real business use. Companies are combining agent platforms with CRMs, RPA tools, and reporting systems to handle tasks like lead qualification, scheduling, data cleanup, and automated weekly reports. That shift is making

Quick summary Over the last year the big AI platforms made it far easier for companies to build and deploy “AI agents” — lightweight, task-focused assistants that combine a large language model with tools, data connectors, and simple automation. Instead of one-size-fits-all chatbots, these agents can be customized for sales outreach, customer triage, finance reporting,

Quick summary Major software vendors and startups are shipping autonomous AI agents that can act on your behalf inside apps — triaging incoming leads, drafting personalized outreach, updating CRMs, and generating routine reports. Instead of just answering questions, these agents can take multi-step actions, call external tools, and follow simple rules to complete tasks end-to-end.

Quick summary AI agents — autonomous, action-taking AI connected to your email, CRM, calendar and apps — are leaving the lab. More companies are running agents that do routine sales tasks: initial outreach, basic qualification, follow-ups, and meeting scheduling. That’s letting reps focus on high-value conversations instead of admin work. Why this matters for business