Ron Mitchell

Quick summary In 2024 the industry shifted from “general” large language models to practical, customizable AI agents — think custom GPTs and agent frameworks that non-developers can tailor to internal workflows, connect to company data, and run automated tasks. That means businesses can build assistants that draft sales outreach, pull and summarize live reports, triage […]

Quick take AI agents — autonomous workflows built on large language models — are moving from experiments into real sales and ops work. Companies are already using them to qualify leads, draft outreach, update CRMs, and generate near-real-time sales reports. For business leaders, that means faster response times, fewer routine errors, and smarter, more actionable

Quick summary AI “agents” — autonomous assistants that can read, act, and follow multi-step workflows across apps — moved from demos into real business pilots throughout 2023–2024. Companies are now using agents to do things like pull weekly sales reports, update CRMs, qualify leads, and automate routine workflows across email, Slack, and business systems. Why

Summary AI “agents” — autonomous, task-focused AI that can act on your behalf — are accelerating from experiments to real business use. Companies are using agents to draft and send personalized outreach, compile weekly sales reports, triage support tickets, and automate repetitive workflows across systems like CRM, email, and chat. Why this matters for business

The story (short summary) – Over the last year businesses have started moving autonomous AI agents out of pilots and into real work: coordinating CRM updates, qualifying leads, generating weekly sales and ops reports, and automating multi-step processes that used to need human handoffs. – Toolkits and frameworks (open-source and vendor-provided) have made it easier

Summary AI “agents” — software that can act on your behalf by connecting to apps, searching the web, and completing multi-step tasks — are no longer just demos. Over the last 12–18 months they’ve moved from research labs into real enterprise pilots: marketing teams use agents to draft and A/B test campaigns, sales teams automate

Quick summary AI agents — autonomous, task-focused AI that can read your systems, act on instructions, and follow up — are moving from labs into real business workflows. Teams are using them to draft personalized sales outreach, reconcile data across CRM and ERP, auto-generate weekly performance reports, and triage customer issues. That shift is happening

Summary Autonomous AI agents — software that can act on your behalf, make decisions, and complete multi-step tasks — are moving from lab demos into real business use. Teams are using agents to qualify leads, update CRMs, generate and distribute sales reports, and automate repetitive back-office work. These agents combine large language models with connectors

Summary Major AI vendors and startups are rolling out easy-to-build “AI agents” — small, task-focused systems that act like virtual employees. These agents can qualify leads, draft personalized outreach, summarize meetings, and generate regular reports by connecting to your CRM, calendars, and data sources. The tools are increasingly low-code and cheaper to run, so companies

Quick summary AI agents — autonomous systems that can carry out multi-step tasks (like qualifying leads, scheduling, and creating reports) — are no longer just a tech demo. Over the past year these agents have matured: they connect to CRMs, calendars, and internal databases, maintain context across conversations, and trigger automated workflows. That means tasks