Ron Mitchell

Hook: Autonomous AI agents — not just chatbots — are now being used to automate sales tasks, generate faster reports, and run repeatable processes across departments. What’s happening (short summary) – Over the last year, more companies and major vendors have shifted from experimenting with single-purpose AI to deploying configurable AI agents that can act […]

What’s happening – AI agents — software that can act on your behalf (draft emails, pull data, run workflows) — are moving from experiments into real business use. – Recent advances from major AI providers mean agents are faster, cheaper, and easier to connect to CRMs, calendars, databases, and reporting tools. – Companies are already

Quick summary AI “agents” — autonomous, task-focused AI assistants that can act across apps and data — have shifted from lab demos to real production use. Companies are now using them to qualify leads, generate and distribute sales reports, automate invoice routing, and run routine customer follow-ups. The result: faster workflows, fewer manual handoffs, and

Short summary AI “agents” — autonomous assistants that can run workflows, fetch data, and talk to apps — are no longer just demos. Over the last couple of years many organizations have moved pilots into production: agents are qualifying leads, auto-populating CRM entries, generating regular sales and financial reports, and triggering downstream processes without a

Quick summary AI “agents” — autonomous assistants that can read your systems, take actions, and generate reports — are moving from demos into real-world business use. Major vendors and startups are shipping agent toolkits and orchestration platforms that connect to CRMs, ERPs, calendars, email, and data lakes so agents can perform multi-step tasks (e.g., qualify

Quick summary AI agents — small, autonomous programs that can read emails, interact with CRMs, schedule meetings, generate reports, and even act on your behalf — are moving from proof-of-concept to real business use. Instead of one-off automations, these agents combine reasoning, tool access, and workflow automation to handle end-to-end tasks like lead qualification, follow-up

What’s happening now AI agents—software that can act autonomously across apps and data—have moved from demos to real business use. They’re no longer just chat windows. Modern agents can read your CRM, pull company data, draft emails, update records, run BI queries, and trigger workflows with minimal human input. That means routine work like lead

Quick hook Autonomous AI agents — systems that can carry out multi-step tasks, talk to apps, and make decisions — have moved from research demos to practical tools businesses can use now. That shift matters for sales, operations, and reporting. The story, in plain terms Over the past year major vendors and open-source projects have

Quick summary AI agents — autonomous, multi-step workflows driven by large language models — have moved from experiment to everyday business tools. Platforms and low-code builders (from open-source stacks to cloud vendor offerings) now let teams create agents that handle tasks like lead qualification, order reconciliation, or automated monthly reporting without heavy engineering. Why this

Short summary AI “agents” — AI systems that can act autonomously across apps, data, and workflows — moved from demo-stage to day-to-day work in 2024–25. Platforms and vendor features now let agents pull CRM records, generate outreach, run analyses, and build routine reports without constant human prompting. That shift means businesses can automate complex, multi-step