Ron Mitchell

Short summary Autonomous AI agents — software that can plan, act across apps, and complete multi-step tasks with little human direction — moved from research demos to practical business pilots in 2024. Companies are using agents to draft and send personalized outreach, assemble cross-system reports, triage customer requests, and automate repetitive approval flows. The result: […]

Short story pick (what’s happening) AI “agents” — models that autonomously complete multi-step tasks, use tools, and pull from your company data — moved rapidly from experiments into real business use in 2024. Builders now combine custom GPTs, agent frameworks (LangChain, Microsoft Semantic Kernel), and vector search/RAG to create autonomous workflows that handle lead qualification,

Quick summary Major software vendors and startups are embedding AI agents and copilots directly into business systems — CRM, ERP, analytics and workflow tools. These agents can research leads, draft personalized outreach, run multi-step reports, and trigger follow-ups without constant human prompting. That shift turns generative AI from a one-off assistant into an operational tool

Quick summary AI “agents” — autonomous, task-focused AI assistants that can read data, take actions, and interact with systems — have shifted from research demos into real business pilots. Companies are using agents to qualify sales leads, triage customer support tickets, generate and automate recurring reports, and orchestrate multi-step workflows across CRM, email, and internal

Quick summary In the past year we’ve seen AI “agents” — AI systems that can plan, act, and use external tools — move out of research demos and into practical business products. Cloud vendors and LLM platforms now offer customizable agents, plugins, and integrations that let models access your calendar, CRM, databases, and reporting tools.

Summary AI agents — software that can act autonomously to complete multi-step tasks — have moved from experiments to practical tools for sales, ops, and reporting. New agent platforms now offer tighter CRM integrations, secure tool connectors, and observability so businesses can deploy agents with controls (and measurable ROI). That means companies can automate things

Short hook AI agents — smart tools that act on your data, calendars, and apps — are no longer just demos. Businesses are using them to automate sales tasks, generate automated reporting, and free teams to focus on revenue-driving work. What’s happening (quick summary) – The technology that lets AI safely connect to your systems

Quick summary AI “agents” — autonomous software that can read your calendar, access CRM data, create documents, and take actions (send emails, update records, generate reports) — are moving from tech demos into real business use. Teams are using agents to automate repetitive sales outreach, produce weekly performance reports, triage customer requests, and run simple

Quick summary AI “agents” — systems that can autonomously perform multi-step tasks (think: qualify leads, update CRM, schedule meetings, and generate reports) — are no longer just demos. Advances in private LLMs, retrieval-augmented generation (RAG), and low-code orchestration platforms let businesses tie agents to their own data and systems securely. The result: agents that can

Short summary AI “agents” — autonomous or semi-autonomous software that can read data, take actions, and talk to systems — are no longer just a technical novelty. Over the last 18 months major platform vendors and startups have rolled out agent-building tools that connect language models to CRMs, calendars, reporting systems, and APIs. That makes