Ron Mitchell

What happened AI “agents” — autonomous AI assistants that can run tasks end-to-end — have moved rapidly from lab demos into real business pilots. Instead of just answering questions, these agents can read your CRM, qualify leads, schedule meetings, generate follow-up email sequences, and create sales reports. With better orchestration tools, low-code platforms, and more […]

Quick summary A clear trend is accelerating across industries: companies are moving from experimenting with chatbots to deploying autonomous AI agents — small, task-focused AI programs that can research, take actions, and generate reports without constant human prompts. These agents combine large language models with retrieval systems, APIs, and business rules to automate work like

Quick summary AI agents — software that can act on your behalf, pull data, run processes, and make decisions across systems — have moved from R&D demos into real business pilots. Companies today are using agents to automate multi-step tasks: generate and send personalized outreach, update CRMs, compile weekly sales reports, and triage customer issues

Quick summary – The big story: autonomous AI agents — systems that can take multi-step actions (query your data, call APIs, draft messages, schedule tasks) — are shifting from demos into real business use. Platform vendors, open-source frameworks, and enterprise suites now offer agent toolkits that connect to CRMs, databases, and reporting systems. – Why

Pick the story Major platforms and startups are rapidly rolling out AI agent toolkits and low‑code builders that let businesses create autonomous assistants tied to their data and systems. Summary — what happened and why it matters AI agents are simple programs that can read, act, and follow up across apps — for example, pulling

Story summary There’s a clear, accelerating shift: autonomous AI agents — systems that can act, decide, and follow multi-step workflows with little human prompting — are moving out of labs and into real business processes. Teams are using these agents to triage leads, generate periodic reports, update CRMs, and automate routine approvals. The result: faster

Quick summary The last 18 months have pushed “AI agents” — autonomous, conversational software that can take multi-step actions — out of research labs and into everyday business apps. Major platform vendors and a growing set of startups now offer plug-and-play agents or frameworks that connect to your CRM, calendar, email, and reporting systems. That

Big picture AI agents — autonomous, task-focused AI that can read data, take actions, and talk to apps — are moving from labs into everyday business work. Instead of just drafting messages, these agents can qualify leads, update CRMs, create weekly sales reports, and even trigger follow-up actions. That shift is accelerating as companies combine

Short summary AI agents — autonomous assistants that can read data, take actions across apps, and carry out multi-step tasks — moved from labs into everyday business in 2024–25. Large platform vendors and fast-growing startups shipped agent frameworks and integrations that let businesses automate complex workflows: think automatic lead follow-up, scheduled financial reporting with natural-language

Quick summary AI agents — software that can act autonomously, use tools, and connect to your systems — have moved from experiments to real business use. Companies are now using agents to qualify leads, update CRMs, run routine analysis, and generate on-demand reports. That makes them one of the fastest ways to automate repetitive work