Ron Mitchell

Summary AI “agents” are software bots powered by large language models that can act autonomously: pull data, send emails, update CRMs, generate reports, and follow up on tasks without constant human prompting. Over the past year businesses have moved from experimenting with single AI tools to building multi-step agent workflows that handle real, repeatable work […]

Quick take AI agents — autonomous software that can read, act, and interact on your behalf — have moved past lab demos into real business use. Companies are using them to qualify leads, summarize calls, automate reporting, and run repeatable back‑office workflows. That shift matters for leaders because it turns AI from a productivity tool

Quick summary Companies large and small are moving from one-off AI tools to autonomous AI agents — systems that can access your apps, pull data, take actions, and follow through on multi-step tasks (think: draft an outreach email, book a meeting, update the CRM, and create a performance report). Big vendors (e.g., Microsoft Copilot, Google’s

Story summary AI agents — autonomous, task-focused AI that can read your data, call APIs, and take actions across apps — are moving from research demos into day-to-day business use. Today’s agents are no longer isolated chatbots: they can connect to CRMs, calendars, ticketing systems, and reporting tools, run repeatable workflows, and generate or update

Quick story summary AI agents — software that can carry out multi-step tasks on behalf of users — have moved out of research demos and into real business workflows. Over the last year we’ve seen proof points across sales, customer success, and ops: agents that qualify leads, draft outreach, update CRM fields, generate weekly reports,

Quick summary AI “agents” — autonomous software that can read data, take actions across apps, and carry out multi-step workflows — moved from experiments to real business use in 2024–25. Sales teams are using them to qualify leads, draft and A/B test outreach, and log activities in CRMs. Operations teams use agents to reconcile invoices,

Quick summary AI agents — software that can read your data, take actions, and talk to people or systems — are crossing a major threshold. Instead of isolated demos, companies are now connecting agents to CRMs, ERPs, and BI tools to automate sales outreach, create on-demand reports, and triage customer issues. That shift makes AI

Story summary Over the last year we’ve seen a clear shift: businesses are moving from one-off AI tools to autonomous, task-focused AI agents that can run parts of a workflow end-to-end. These agents can qualify leads, book meetings, enrich CRM records, generate draft proposals, and produce recurring reports — often with fewer handoffs and faster

Short summary AI agents—autonomous, goal-oriented software that can read data, take actions, and talk to systems or people—are moving from tech demos into real business use. Companies are using agents to qualify leads, automate repetitive workflows, generate real-time reports, and triage customer requests. That shift is making workflows faster, errors fewer, and teams more productive.

Quick summary – Over the last year we’ve seen AI agents — autonomous, task-focused AI that can read, act, and report — move out of labs and into business workflows. Companies are using them to qualify leads, draft outreach, reconcile data, and produce recurring reports without constant human rework. – The change is driven by