Ron Mitchell

Summary A new wave of AI agents — models that can plan, use tools, and carry out multi-step tasks — is no longer just research demos. Vendors and cloud platforms are shipping agent frameworks and “assistant” APIs that connect language models to your apps, calendars, CRMs, and BI tools. That means AI can now do […]

Summary AI agents — software that can act autonomously to complete tasks, call tools, and generate outputs — have moved from lab demos to real business use. Recent advances in large models, better tool integrations, and low-code agent frameworks mean companies can now deploy agents that handle parts of sales, operations, and reporting with less

Quick summary Autonomous AI agents — software that takes actions on your behalf (from qualifying leads to building reports) — have moved beyond lab experiments into real business tools. Over the past year, major vendors and startups have added agent-style features to CRMs, BI platforms, and automation stacks. That means businesses can stop just “asking”

What’s happening AI agents — autonomous, task-focused systems powered by large language and multimodal models — are moving out of labs and into everyday business workflows. Instead of just answering queries, these agents can pull data from your CRM and BI, draft outreach, run anomaly checks, and even trigger actions (update records, create tickets, schedule

Quick summary AI agents — autonomous or semi-autonomous AI programs that can read, write, act, and connect to apps — moved from experiments into real business tools in 2024. Major CRMs and productivity platforms added agent-capabilities (think automated outreach, meeting summarization, and on-demand narrative reports). Combined with retrieval-augmented generation (RAG) and secure connectors, these agents

Quick summary AI agents—autonomous systems that can read, act, and talk across apps—have moved quickly from research demos to real business tools. Over the last 18–24 months, vendor platforms and open-source frameworks made it much easier to build agents that handle sales outreach, customer support, meeting follow‑ups, and automated reporting. Companies are no longer just

Quick summary Autonomous AI agents — tools that can act on your behalf to complete multistep tasks — have moved beyond demos. Over the last year top vendors and startups shipped agent features that let systems coordinate actions, call APIs, and close loops with internal tools. That means agents can do things like qualify leads,

Short summary AI agents — software that can act autonomously across your tools (CRM, calendar, email, BI, RPA) — are no longer just research demos. Over the past year we’ve seen vendors and enterprise teams move agents into production to qualify leads, update CRMs, schedule demos, and generate sales and performance reports automatically. These agents

Quick summary – Over the past year we’ve seen AI agents — autonomous workflows that act like virtual teammates — move out of labs and into real business use. Major vendors now offer tools to build agents that connect to CRMs, ERPs, and reporting systems so they can research leads, update records, generate reports, and

The story in a sentence AI agents — autonomous, task-focused assistants built on large language models — are rapidly moving from lab demos into real business workflows. Companies are using them to handle scheduling, triage support tickets, generate tailored sales outreach, and automate routine reporting. Why this matters for businesses – Faster decisions: Agents can