Ron Mitchell

Quick summary AI agents — autonomous or semi-autonomous systems that can read, act, and coordinate across apps — moved from experiments to practical tools this year. Businesses are using them to draft outreach, triage customer requests, generate regular reports, and automate repetitive back-office tasks. Advances in tool integration, retrieval-augmented generation (RAG), and safer prompting mean […]

Summary AI agents—autonomous or semi-autonomous AI that can take actions, fetch data, and run workflows—have moved from labs into everyday business tools. Companies are using them to qualify leads, auto-generate sales and financial reports, triage customer support cases, and automate routine back-office tasks. That means less time on manual work and faster insight-driven decisions. Why

Autonomous AI agents — the software that can act on your behalf, connect to systems, and complete multi-step tasks — moved fast this year from demos into real business use. Major platforms and startups are now offering enterprise-ready agents that can pull CRM data, draft outreach, run reports, and trigger actions without constant human direction.

Story summary AI agents — the “always-on” assistants that can read your CRM, draft emails, update records, and generate reports — have moved from demos into real business products. Major vendors (think CRM and productivity platforms) are embedding agent-style features into sales and ops workflows so teams can automate repetitive tasks and get instant, contextual

Quick snapshot AI agents — autonomous software that can take actions, talk to systems, and follow multi-step instructions — have moved past experimentation and are now being adopted in sales, operations, and reporting. Early adopters are using agents to do things like draft personalized outreach, auto-update CRMs, run routine reports, and triage customer requests —

AI agents — what’s new AI agents are software that can carry out multi-step tasks for you: research prospects, draft and send personalized outreach, update your CRM, and generate weekly sales reports with plain-language insights. Over the past year we’ve seen these agents paired with enterprise data connectors and reporting tools so they can safely

Quick summary AI agents — software that can autonomously complete multi-step tasks across apps (CRM, email, calendars, BI tools) — have moved from experiments to practical business tools. Modern agent platforms and connectors let companies automate outreach sequences, qualify leads, generate routine reports, and even prepare meeting briefs without full-time manual effort. Improved APIs, low-code

Quick summary AI agents — software that can autonomously perform tasks, follow up with customers, and generate reports — have moved from labs into real business workflows. Big vendors (think Copilot-style assistants and agent frameworks) plus open-source toolkits make it faster and cheaper than ever to deploy purpose-built agents that connect to your CRM, calendar,

Story summary AI has moved from chat and prototypes to autonomous “agents” that can carry out real-world tasks — scheduling, qualifying leads, generating and distributing reports, or running parts of a sales workflow without constant human direction. Over the last year major cloud providers and startups have released agent frameworks and integrations that let these

Short summary AI “agents” — goal-directed AI that can call tools, access systems, and complete multi-step workflows — moved from research labs into real business pilots in 2024–25. Instead of one-off prompts, agents can log into your CRM, pull data, send emails, generate reports, and trigger follow-up tasks automatically. That shift makes AI less about