Ron Mitchell

Quick summary AI agents — autonomous software that can read your systems, act on instructions, and carry out multi-step tasks — are no longer just demos. Over the last year vendors and integrators have focused on stable connectors, retrieval-augmented workflows, and built-in guardrails so agents can safely work with CRM, billing, calendars, and BI systems. […]

Short summary AI “agents” — software that can autonomously carry out multi-step tasks using language models, tools, and data connections — moved from research demos into real business use in 2024. Major providers and toolkits now make it straightforward to build agents that schedule, qualify leads, update CRMs, generate reports, and triage support tickets without

Story summary Major business-app vendors have moved from experiments to built-in AI copilots and task-oriented agents. Tools like Microsoft Copilot, Google’s Duet features, and industry-specific agents from CRM and BI vendors now let people generate content, automate workflows across systems, and get instant business reports using natural language. That shift — from standalone chatbots to

AI agents move from pilot to production — what business leaders need to do next Story summary Over the past year businesses have stopped treating AI agents as tech experiments and started putting them into real workflows. Teams are using autonomous agents to handle lead qualification, automate routine customer interactions, and generate recurring business reports.

Quick story Customizable AI agents — think purpose-built assistants that act on your CRM, email, calendar, and reporting systems — have moved from experiments to real business pilots. Over the past 18 months major enterprise platforms and vendors made it easy to create and deploy these agents (custom GPTs and equivalent tools), letting teams automate

Why AI agents are the next big opportunity for sales, ops, and reporting Summary — the story in plain terms AI “agents” — software that can plan and act across apps on its own — moved from demos into real business use in the past 18 months. Major cloud vendors and open-source toolkits made it

Short summary AI “agents” — apps that use large language models to perform multi-step tasks across tools — have moved from experiments to real-world pilots. Over the last year we’ve seen major vendors and startups deliver agent frameworks, plugins, and orchestration tools that let AI act on your behalf: gather data, update systems, draft messages,

Summary In the past year we’ve seen AI move beyond answering questions to actually doing tasks for users. Vendors and startups are shipping AI agents — small, goal-directed software that can read your CRM, draft outreach, schedule meetings, update reports, and even run multi-step workflows across apps. These agents aren’t magic; they combine generative models,

Short summary AI “agents” — autonomous models that can run tasks, talk to apps, and make decisions — are moving from demos to real business use. Enterprises are already using copilots and agent frameworks to automate reporting, qualify leads, and speed up repetitive workflows. That matters because these tools can cut time on operations, improve

Story summary Autonomous AI agents — software that can plan and execute multi-step tasks with little human hand-holding — are moving quickly from research demos into real business use. Teams are already using agents to research leads, draft outreach sequences, update CRMs, schedule demos, and generate sales reports. At the same time, business intelligence tools