Ron Mitchell

Quick summary Major AI platforms and cloud vendors have moved past single-chat models and are now promoting “AI agents” — programmable assistants that can use tools, access company data, and complete multi-step jobs (think: auto-scheduling, compiling reports, or qualifying leads). These agents combine language models with connectors to CRMs, databases, email, and internal apps so […]

What’s happening Over the past year we’ve seen a shift: AI is no longer just a chatbot or a research toy. Major vendors and startups are packaging “autonomous AI agents” — small AI programs that can access calendars, CRMs, email, and BI systems — so they can act on your behalf. They do things like

Brief summary Major AI vendors and enterprise platforms are moving from demos to real-world deployments of AI agents — autonomous systems that can read your CRM, run queries across documents, take actions (like sending emails or updating records), and produce near-real-time reports. These agents now combine better memory, multimodal inputs, and safer tool access, so

Big picture summary AI agents — autonomous, conversational tools that can research, act in your systems, and generate reports — are moving from demos into real business use. Major CRM and software vendors have added generative AI “copilots” to automate tasks like prospect research, follow-up emails, and executive summaries. At the same time, smaller vendors

Short summary AI agents — autonomous, multi-step AI tools that can read, act, and complete tasks across apps — are no longer just lab experiments. Over the last year we’ve seen more companies move agents into real business workflows: automating sales follow-ups, managing routine support tickets, and generating operational reports from live data. These agents

Quick hook AI agents — task-focused assistants built on large language models — are moving from experiments to everyday business tools. No-code builders, better connectors to CRMs and BI systems, and stronger safety controls mean teams can now automate prospecting, CRM updates, and executive reporting without writing a lot of code. What’s happening (short summary)

Short summary AI agents — autonomous, task-focused AI that can run workflows, fetch data, and interact with systems — have moved fast from lab demos to commercial tools this year. Vendors now offer agent frameworks and low-code builders that plug into CRMs, ERPs, chat platforms, and data warehouses. That shift makes it easier for non‑technical

What happened (short summary) – Over the last 18 months, a wave of AI agent platforms and integrations has made it practical for companies to let AI do real work — not just answer questions. These agents can qualify leads, draft personalized outreach, update CRMs, generate tailored proposals, and produce automated sales and operations reports.

Quick summary Autonomous AI agents — software that can carry out multi-step tasks with little human prompting — are moving from experiments into real business use. Companies are now using agents to qualify leads, update CRMs, generate sales reports, schedule follow-ups, and triage customer requests. These tools combine large language models, retrieval (RAG) from company

Hook — quick summary AI “agents” — autonomous, goal-driven AI assistants that can run multi-step tasks — have moved from demos to real business use. Companies are now using them to qualify leads, automate reporting, route tasks, and even run simple negotiations. That shift matters because these agents can cut repetitive work, speed decisions, and