Ron Mitchell

Quick summary – Over the last year we’ve seen a clear shift: AI agents — software that can research, act, and automate tasks end-to-end — are moving out of pilot projects and into real business workflows. – New agent platforms and orchestration layers now connect directly to CRMs, ERPs, and reporting systems. That means an […]

Summary AI “agents” — autonomous, goal-driven AI workflows that can read systems, take actions, and learn from results — are no longer just research demos. Over the last year major vendors and enterprise teams have moved from proofs-of-concept to production pilots that handle sales outreach, customer triage, back-office automation, and automated reporting. These agents combine

Summary AI “agents” — systems that act autonomously across apps to complete tasks (think: qualify leads, update CRM, generate reports, or schedule follow-ups) — are no longer just lab experiments. Over the last year we’ve seen major cloud vendors and startups ship agent orchestration tools and enterprise integrations that make it realistic to put agents

Summary AI agents — autonomous, connected AI programs that can read data, call tools, and take actions — moved from demos to real business use in the last 18 months. Companies are using agents to automate repetitive sales tasks (lead qualification, personalized outreach), streamline operations (invoice routing, vendor follow-ups), and generate near–real-time business reporting by

Quick summary AI “agents” — autonomous software that can take multi-step actions (think: research, draft outreach, update your CRM, schedule meetings) — have surged from hobby projects into real enterprise tools. Over the last year we’ve seen vendor platforms, open frameworks, and startups make agents easier to deploy and connect to business systems. That means

Summary Autonomous AI agents — software that can set goals, take multi-step actions, and interact with apps and data — are no longer just demos. Over the past year we’ve seen these agents move from research experiments into real pilots across sales, customer support, and operations. Businesses are using them to qualify leads, automate parts

Quick take AI agents — autonomous, task-focused AI that can read systems, take actions, and report results — are moving from labs into real business workflows. Major cloud and AI providers now offer agent frameworks and easy integration points, so teams can automate qualification, follow-ups, and routine reporting faster than ever. Why this matters for

Quick summary AI “agents” — autonomous workflows that can plan, act, and follow up with little human prompting — went from niche demos to practical tools in 2023–24. Open-source projects, vendor “copilot” products, and cloud services made it easier to chain LLMs with data, APIs, and business rules. That means businesses can now automate complex

What happened Over the past year, major cloud and software providers have embedded autonomous AI agents into enterprise apps. Think of agents that can read your CRM, pull data from a data warehouse, run reports, draft emails, and even trigger updates in other systems — all with little human direction. Products from big vendors (the

Quick summary – A new wave of “autonomous AI agents” and no‑code agent builders is making it easier for companies to create AI that can act on behalf of people — connecting to CRMs, calendars, databases and APIs to do multi‑step tasks automatically. – That means tasks like lead qualification, routine customer follow‑ups, monthly reporting,