Ron Mitchell

Summary AI agents — autonomous, task-focused AI that can read documents, query systems, and take actions across apps — have shifted from R&D demos into real business deployments. Over the past year vendors and platforms focused on agent orchestration, secure connectors, and fine-grained controls. The result: companies can now reliably automate end-to-end tasks such as […]

Quick summary AI “agents” — software that performs tasks autonomously (think: qualify leads, write meeting summaries, update CRM records, and generate reports) — have moved from labs into real business pilots. Over the last year, major vendors and startups have released agent frameworks and prebuilt connectors so these systems can plug into CRMs, calendars, and

Quick summary – What’s happening: In 2024 we’ve seen a clear shift — “AI agents” (autonomous tools that complete multi-step tasks) are no longer just experiments. Major vendors and startups are shipping agent features and toolkits that make it easy to plug AI into day-to-day workflows. – Why it matters for business: Agents can handle

Quick summary – What’s happening: Over the last year, “AI agents” — autonomous or semi-autonomous AI assistants that combine large language models with connectors, rules, and workflows — have moved from experiments to production-ready tools. Vendors and low-code platforms now make it easier to build agents that draft emails, qualify leads, update CRMs, generate reports,

Quick summary – The big trend right now is the rapid rise of AI agents: small, task-focused AI systems that can connect to your tools, gather data, take actions, and hand off results. – Cloud vendors and startups are shipping low‑code/no‑code agent builders and connectors so non‑engineers can create automated workflows that touch CRMs, help

Short summary AI agents — autonomous software that can read, act, and make decisions across apps — have moved from experiments to real business pilots. Modern agents can triage leads, draft personalized outreach, pull and summarize sales data, and trigger cross-system actions (update CRM, create a ticket, schedule a call) without a human doing every

Quick summary AI agents — software that can act autonomously to complete tasks, talk to systems, and coordinate workflows — moved from labs into real business use in 2025. Low-code “agent builders” and pre-built connectors now make it practical to plug agents into CRMs, ERPs, and reporting stacks without months of engineering work. The result:

Quick summary – Recent months have seen a surge in practical AI agents: software that combines large language models, automation connectors, and simple decision logic to perform multi-step tasks on behalf of users. – These agents can do things like prepare and send personalized sales outreach, update CRMs, generate weekly performance reports, and trigger follow-up

Quick summary AI agents — autonomous systems that can read data, take actions, and follow multi-step workflows — have moved from lab experiments to real business pilots. Leading vendors and specialist startups are now offering agent platforms that connect to CRMs, ERPs, email, and reporting systems. That means tools that can qualify leads, update records,

Quick summary AI agents — autonomous, task-focused AI “workers” built on models like GPT — are shifting from lab experiments to real business use. Companies are now wiring agents into CRMs, BI tools, and ticketing systems so they can do end-to-end tasks: qualify leads, generate reports, summarize meetings, and trigger downstream actions. Why this matters