Ron Mitchell

Quick summary AI agents — autonomous, task-focused AI programs that can plan, execute, and talk to systems — have moved from research demos into practical business tools. Over the last 18 months major vendors, developer frameworks, and third‑party connectors have focused on reliability, safety controls, and integrations with CRM, ERP, email and BI systems. That […]

Quick take: Over the last year, AI agents — autonomous tools that perform tasks across apps — have shifted from proof-of-concept demos to practical business automation. Companies are using them to qualify leads, update CRMs, schedule meetings, and generate real-time sales reporting. The result: faster pipelines, fewer manual errors, and better visibility for decision-makers. What

The story (short): AI agents — autonomous, goal-driven software that can read data, take actions, and coordinate across apps — have moved from niche demos to real business tools. Over the last year we’ve seen more off-the-shelf and custom agents built for sales outreach, customer support triage, process automation, and automated reporting. Platforms and “agent

The story (short) AI “agents” — autonomous workflows built on large language models and connectors — have moved quickly from research demos to real business pilots. Companies are using agents to do end-to-end tasks: draft and send sales outreach, triage support tickets, compile monthly reports, reconcile expenses, and even kick off purchase approvals. Advances in

Quick summary AI agents — autonomous, task-focused AI that can read emails, update CRMs, schedule meetings, and generate reports — are no longer just demos. Companies are putting them into live sales and operations workflows to handle repetitive tasks, qualify leads, and produce near-real-time reports. The result: faster responses, fewer manual errors, and more time

Short summary AI agents — autonomous workflows powered by large language models — have moved from experiments to practical tools. Low-code agent builders, prebuilt integrations with CRMs and calendars, and cheaper, faster models mean teams can now deploy agents that qualify leads, book meetings, triage support tickets, and generate routine reports with little developer overhead.

EU AI Act is Here — What Business Leaders Should Do Now for Their AI Agents, Automation, and Reporting Quick summary The EU’s AI Act has moved from draft to enforceable policy, and it’s changing the rules for how companies use AI across the business — from customer-facing chatbots to automated decision systems. The law

Quick summary AI agents — autonomous, multi-step AI tools that can act on behalf of users — have moved from experiments into real business use. Companies are now using them to run sales outreach, triage support tickets, generate weekly performance reports, and automate repetitive back-office tasks. That shift matters because these agents combine automation with

Quick summary AI “agents” — autonomous LLM-powered software that reads, decides, and acts across apps — are no longer just lab experiments. Over the last year we’ve seen rapid adoption as businesses connect agents to CRMs, calendar systems, document stores, and reporting tools. These agents use techniques like retrieval‑augmented generation (RAG) and secure vector databases

Short summary AI “agents” — software that can take multi-step actions across apps after a simple prompt — are moving quickly from experiments into real business use. Instead of only suggesting next steps, these agents can qualify leads, update CRMs, pull live sales metrics, and even prepare follow-up emails or reports automatically. That makes AI