Ron Mitchell

Quick summary A new wave of easy-to-deploy AI agents is moving from labs into everyday business tools. These agents can read your CRM, generate outreach sequences, build weekly revenue reports, and even take actions (like logging activities or creating tickets) with little human supervision. Vendors and startups now offer low-code agent builders that connect to […]

Big picture (short): Over the past year, autonomous AI agents and agent orchestration platforms have stopped being lab experiments and are being embedded into real business workflows — from lead qualification and CRM updates to automated reporting and cross-system process automation. These agents connect to tools (CRMs, BI, email, calendars) and can perform multi-step tasks

Short summary AI “agents” — autonomous assistants that act across apps, fetch data, and complete tasks — moved from experiments into real business workflows in 2025. Companies are using agents to qualify leads, auto-generate proposals, reconcile data across CRM/ERP, and create recurring executive reports without manual pull-and-clean cycles. The result: faster sales cycles, fewer manual

Short summary AI agents — software that can act autonomously across tools, gather data, and complete multi-step tasks — have moved quickly from labs into practical business use. Companies are using agents to draft and prioritize sales outreach, automate routine reporting, reconcile data across systems, and handle repetitive customer requests. Advances in how agents connect

Quick summary AI agents — software that can act across apps, make decisions, and carry out multi-step tasks — are no longer just demos. Over the past year we’ve seen a big uptick in practical agent use: automating lead qualification, generating weekly sales reports, scheduling complex demos, and even running first-pass customer outreach. These agents

Summary AI “agents” — autonomous models that act across apps, run multi-step workflows, and call tools for you — moved from lab experiments into real business use over the last 18–24 months. Teams are no longer using AI only for single responses or summaries. They’re building agents that can pull CRM data, draft personalized outreach,

Summary AI “agents” — autonomous assistants that can run tasks, pull data, and act on your systems — moved from flashy demos into real business pilots in 2023–24. Major platform vendors rolled out agent frameworks and enterprise connectors, and companies started using agents for things like lead outreach, sales follow-ups, automated reporting, and routine ops

Hook AI platforms from the biggest vendors have made it easy for non-developers to build task-specific AI agents — think automated sales assistants, meeting-summary bots, and live reporting helpers. That shift is fast becoming a business game-changer. Summary of the story (quick) – Major providers (OpenAI, Microsoft, Google and others) launched or expanded no-code/low-code tools

Quick summary – At Microsoft Build 2024 Microsoft expanded Copilot Studio — a tool that lets organizations build customized AI copilots that connect to Microsoft 365, Azure data, and other systems. – These copilots are AI agents trained (via prompts, connectors, and rules) to handle tasks like drafting emails, summarizing meetings, pulling sales reports, and

Quick story summary AI agents — task-focused, semi‑autonomous systems built on large language models — stopped being an experimental novelty in 2024 and have become practical tools for businesses today. Teams are using agents to draft outreach, triage customer requests, build recurring reports, and run simple workflows that used to eat hours of human time.