Ron Mitchell

Quick summary Major AI platforms have shifted from chat-only models to practical AI agents that can connect to tools (CRMs, spreadsheets, BI dashboards), run workflows, and generate ready-to-use outputs like sales follow-ups and executive reports. That means LLMs are no longer just for brainstorming — they can act, fetch, calculate, and update systems automatically. Why […]

Summary In the past year, AI agents — software that can take multi-step actions on your behalf — have moved from demos to real business use. Major cloud providers and startups released agent-building tools and prebuilt connectors, making it easier to automate tasks that used to need lots of human coordination: lead qualification, multi-channel follow-ups,

What’s new A recent wave of enterprise-focused “AI agents” is moving beyond research demos into real business use. These are systems that can autonomously run multi-step tasks — for example: read your CRM, draft outreach, book meetings, update records, and generate follow-up reports — with fewer human prompts. Improvements in model reliability, retrieval (RAG/semantic search),

Short summary AI “agents” — autonomous workflows built on large language models — are moving from pilots into real business use. Instead of a person typing every prompt, agents monitor data, take actions (send follow-ups, update CRM records, create reports), and hand off to humans when decisions need judgement. Early adopters are already using agents

Quick story AI agents — systems that plan, act, and use tools on your behalf — have been getting a lot more practical this year. What started as research demos is now appearing inside sales and operations products: agents that draft outreach, update CRMs, pull and summarize data, and trigger workflows across apps. Businesses are

Quick summary A new wave of AI agents — tools that can act on your behalf across apps, pull data, and complete multi-step tasks — is showing up in mainstream business software. Vendors and startups are embedding these agents into CRMs, help desks, and reporting tools so they can draft outreach, run analyses, update records,

The story (short) – The newest wave in business AI isn’t just “bigger models.” It’s AI agents — systems that combine language models, connectors to your apps, and automated task flows to do real work (qualify leads, update CRMs, generate reports, route approvals). – These agents can run multi-step processes without constant human prompting: they

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