Ron Mitchell

What’s happening Major software vendors are embedding AI agents — often branded as “copilots” — directly into business apps: CRM, email, collaboration tools, and analytics. These agents can draft outreach, summarize meetings, qualify leads, automate routine tasks, and pull together reports on demand. The change: AI is moving from experiments and pilots into everyday workflows. […]

Short summary AI agents — autonomous, task-focused AI assistants — have moved from experiments into real business pilots. Major vendors and startups now offer agent-style tools (think “copilot” features, workflow automations, and task-specific bots) that can research prospects, draft outreach, summarize meetings, and generate routine reports without constant human prompting. Why this matters for business

Story summary AI agents — autonomous AI helpers that can read your systems, take actions, and run multi-step workflows — have moved from demos to real business pilots. Instead of only answering questions, modern agents can pull CRM data, update records, generate and send reports, and trigger follow-up tasks across apps. That shift makes AI

Quick summary Major cloud and AI vendors have shifted from “models only” to “agents”—AI systems that can call APIs, read files, interact with calendars and CRMs, and run multi-step workflows on their own. That means businesses can move past one-off chatbots and build intelligent assistants that do real work: generate sales outreach, reconcile data across

Summary AI agents — autonomous, task-focused assistants that can read documents, query systems, and take actions — are moving from demos into everyday business use. Over the last year we’ve seen more off-the-shelf agent frameworks and “copilot”-style tools from major vendors, plus faster integration with CRMs, BI tools, and document stores. That makes it easier

Quick summary AI agents — software that can plan, act, and interact to complete multi-step work — have moved from lab experiments to practical business tools. Recent platform updates and cheaper compute mean agents can now securely connect to CRMs, ERPs, and BI systems, run automated workflows, and generate real-time reports with minimal human supervision.

What happened (quick summary) AI “agents” — autonomous workflows that use large language models plus tools, plugins, or APIs — moved from lab experiments into real business pilots in 2023–24. Companies now combine LLMs with CRM, calendar, ERP and reporting systems so agents can take actions: triage leads, schedule demos, update records, generate weekly sales

Quick summary AI “agents” — autonomous assistants that can plan, act across apps, and follow up without constant human prompts — went from a lab novelty to a business-ready tool over the last 18 months. Big vendors released agent frameworks and enterprises started plugging them into CRMs, help desks, procurement systems, and reporting pipelines. The

Quick story Over the last year, a wave of “AI agent” tools from major cloud and AI vendors has made it easier for companies to build small, autonomous helpers that talk to your systems — CRM, email, billing, reporting tools — and take actions on your behalf. These agents can qualify leads, create and send

Quick summary AI agents — autonomous, goal-oriented systems that use large language models plus tool connectors (calendar, CRM, databases, BI) — have moved from demos into real business deployments. Over the past year, both big vendors and specialized startups launched agent orchestration tools that make it easier to automate end-to-end tasks: lead qualification, meeting scheduling,