Ron Mitchell

Quick summary – What’s happening: AI agents — software that can autonomously perform tasks (research, draft messages, update systems, generate reports) — are shifting out of labs into real business workflows. Companies are connecting agents to CRMs, calendars, analytics, and knowledge bases so the agents can act on data, not just answer questions. – Why […]

What’s happening AI agents — autonomous, task-focused systems that combine large language models, retrieval (RAG), and connectors to your CRM, calendar, and databases — are moving from experiments into everyday business use. Companies are using agents to triage leads, draft personalized outreach, automate order confirmations, and generate near-real-time performance reports. Why this matters for your

Quick summary – What’s happening: Companies are moving from experimenting with chatbots to deploying AI agents — autonomous or semi-autonomous systems that can run sales tasks end-to-end: personalize outreach, qualify leads, update CRM records, schedule meetings, and generate real-time reports. – Why it matters: These agents free reps from routine admin, surface higher-quality opportunities faster,

What’s happening Autonomous AI agents — software that can take actions on behalf of users (research, outreach, scheduling, pulling reports, updating systems) — are moving from lab demos to real business use. Instead of just generating text, agents can use tools, access your CRM, run queries against your data, and complete multi-step workflows without constant

Quick summary AI agents — small, smart programs powered by large language models — are moving fast from experiments into real business use. Today’s agents can read your data, talk to your CRM and calendar, generate reports, and even draft personalized outreach. Major vendors are adding agent toolkits and integrations, so it’s easier than ever

Quick summary AI agents — autonomous or semi-autonomous AI workflows that can read, act, and make decisions across tools — are moving from lab experiments into real business use. Companies are using agents to draft personalized sales outreach, triage customer support, automate data updates in CRMs, and generate recurring performance reports. The key enabler is

Quick summary AI agents — software that can plan, act, and use tools on their own — have moved from demos into real business use. Firms are now connecting agents to CRMs, calendars, data warehouses and reporting tools so agents can do end-to-end tasks: draft outreach, schedule meetings, generate sales reports, triage customer requests, and

Summary AI agents — autonomous combinations of large language models, data connectors, and action tools — have stopped being just developer experiments and are showing real business value. Over the last 18–24 months we’ve seen more reliable frameworks, enterprise copilots, and pre-built connectors to CRMs, help desks, and BI tools. That means AI agents are

Quick summary AI “agents” — autonomous or semi-autonomous AI that can interact with tools, data, and people to complete tasks — moved from lab experiments into real business use in 2024. Between custom GPT-style assistants, tool-enabled agents that can call your CRM or BI system, and low-code agent frameworks, companies are now using AI agents

What’s happening Autonomous AI agents — software that can plan, act, and follow up with little human supervision — moved fast from tech demos into real business use in 2024–25. Companies are using agents to run repetitive sales tasks, generate and maintain reports, triage customer requests, and stitch data across systems. Improvements in retrieval-augmented generation