Ron Mitchell

Quick summary AI agents — autonomous software that can read, decide, act and connect to your apps — moved from lab experiments to practical tools in 2024–25. Improvements in large language models, retrieval-augmented generation (RAG), and agent frameworks (connectors, workflows, safety layers) mean these agents can now handle real work: triaging leads, generating recurring reports, […]

Quick summary AI “agents” — autonomous systems that follow multi-step instructions, pull data from apps, and act on behalf of users — are no longer just demos. Over the past year leading vendors and startups have built more reliable, enterprise-ready agents that connect to CRMs, email, calendars, databases, and BI tools. That means AI can

AI story (short): Over the past year businesses have moved from experimenting with large language models to deploying AI agents and “copilot” tools that act inside apps, run tasks, and generate live reports. Vendors are packaging agent frameworks and connectors to CRMs, BI tools, and ticketing systems, so these AI assistants can read your data,

Short summary AI agents — think autonomous copilots that can read your systems, take actions, and return results — moved from research demos into real business tools in 2023–24. Major platforms (Microsoft Copilot, Salesforce Einstein GPT, open-source agent frameworks) made it easier to connect large language models to CRMs, ERPs, email, and reporting tools. The

Big picture AI agents—software that can act autonomously across apps, fetch data, and complete tasks—moved from demos into real business use in 2024. Vendors and open-source toolkits made it easier to build agents that connect to CRMs, calendars, BI tools, and email. The result: machines that don’t just answer questions, they do work (qualify leads,

Quick summary Over the past months we’ve seen a clear shift: AI agents — custom, task-focused AI assistants that connect to your systems and act autonomously — are moving out of pilot projects and into everyday business workflows. Vendors (think custom GPTs, Copilot-style builders, and agent platforms) are making it easier to connect these agents

Summary AI “agents” — goal-directed AI that can read your CRM, email, calendar and act on your behalf — have crossed an inflection point. They’re no longer just research demos. Over the last year, more companies deployed agents that can enrich leads, send follow-up emails, book meetings, draft proposals and pull insights from disparate reports

What’s happening Autonomous AI agents — software that can research, plan, and act on behalf of a user without constant prompts — have moved past demos and into real business pilots. Instead of only answering questions, these agents can run multi-step tasks: gather data, update systems, generate reports, and even trigger follow-up workflows. They’re being

Short summary AI “agents” — autonomous software that can plan, act, and follow up across tools — are no longer just a research idea. Businesses are increasingly using agentic AI to do work that used to require human attention: qualifying leads, running recurring reports, routing customer requests, and automating routine process steps across CRM, email,

Short summary The big shift right now is that AI “agents” — models that can act on your behalf, connect to apps, and run multi-step workflows — are leaving the lab and showing real business impact. Instead of just answering questions, these agents can qualify leads, update CRMs, generate weekly reports, and even kick off