Ron Mitchell

Hook: Autonomous AI agents — self-directed software that can research, decide, and act across systems — are moving from experiments into real business use. That change matters for leaders who want faster sales cycles, cleaner reporting, and smarter automation without hiring more people. The story (short): – A growing number of vendors and in-house teams […]

Quick summary Autonomous AI agents — software that can act, decide, and carry out multi-step tasks across systems — are moving fast from experiments to real business use. Companies are using agents to qualify leads, draft personalized outreach, handle routine customer support, and generate consolidated reports from multiple data sources. The tech is getting easier

Short summary AI “agents” — software that can read your CRM, query databases, run reports and take actions — are moving from experiments into real business use. Major platforms and startups are rolling out connectors and frameworks that let agents interact with common systems (CRM, ERP, BI) and with each other. That means businesses can

Summary AI agents — software that plans, acts, and uses tools on your behalf — moved from demo-stage to real business use in 2024–25. Instead of a human typing one prompt at a time, agents chain multiple steps: they pull data from your CRM, run queries in BI reports, send follow-ups, and even create tasks

Quick summary Big tech and enterprise software vendors have pushed AI agents and “copilot” experiences into the mainstream. These tools combine large language models, access to company data (CRMs, email, spreadsheets), and automated actions to handle tasks like outreach, scheduling, summarizing meetings, and building dashboards. The result: businesses can automate repetitive work, get faster insights

AI agents are no longer just a curiosity for developers. Over the last year we’ve seen a clear shift: platforms and orchestration tools have matured enough that companies can deploy AI agents for real business tasks — from automating sales outreach and customer support to producing regular financial reports and managing workflows. That means faster

Summary AI agents — the small, task-focused AI bots that can read systems, take actions, and learn from feedback — have moved from experiments to production at more companies. Vendors and open-source tools now make it faster to build, connect, and orchestrate agents for tasks like lead qualification, order routing, expense audit, and automated reporting.

Quick summary AI agents—software that can read, decide, and act across apps—have moved from research demos into real business tools. Over the past year we’ve seen an explosion of agent platforms and enterprise copilots that can schedule meetings, pull answers from your internal docs, update CRMs, and generate ready-to-send proposals. That makes them one of

Quick summary Major AI platforms and vendors have shifted from single-query chatbots to “AI agents” that can perform multi-step tasks, connect to business apps, and act autonomously within rules you set. That means AI can now do more than answer questions — it can run lead lists, draft and send personalized outreach, update CRM records,

Quick summary AI “agents” — autonomous or semi-autonomous systems that connect to your CRM, calendar, and reporting tools — have moved beyond demos. No‑code and low‑code platforms now let businesses deploy agents that qualify leads, draft outreach, update records, and generate routine reports. Early adopters are turning these agents into steady productivity gains, not just