Ron Mitchell

Short summary AI agents — autonomous software that can read, decide, and act across apps — moved this year from tech demos into real business use. Companies are now using agents to qualify leads, populate CRM fields, auto-generate weekly sales reports, and follow up with customers. That shift matters because agents can cut manual work, […]

Quick summary Major business-intelligence vendors and cloud providers are embedding generative AI into reporting tools so people can ask questions in plain language and get charts, slide decks, and automated follow-ups. Think: ask “How did Product A perform vs forecast last quarter?” and receive a visual report, executive summary, and a list of recommended next

Short summary AI agents — customizable, always-on assistants that access your data and perform tasks — moved from demos to practical business tools over the past year. Companies are now connecting these agents to CRMs, calendars, BI tools, and internal docs using secure data connectors and vector search. The result: faster reporting, automated outreach and

Quick story summary Lately, a clear shift is accelerating: AI agents — autonomous software that can run tasks, talk to systems, and act on behalf of users — are moving from demos into everyday business use. Companies are wiring agents into CRMs, ERPs, and reporting platforms so agents can qualify leads, update records, generate sales

Over the past year, AI agents — autonomous, goal-driven AI tools that can take actions across apps and data — moved from experiments into real business deployments. Vendors and cloud platforms have made it easier to build and connect agents to CRMs, calendars, email, and reporting systems. As a result, companies are using agents to

Summary AI “agents” — autonomous, goal-oriented software that can browse documents, run workflows, and interact with systems — moved from proofs-of-concept into real business pilots in 2023–2024. Tooling matured (agent frameworks, no-code builders, and connector libraries), major vendors added agent features to their stacks, and more companies began using agents for customer follow-up, lead qualification,

Quick summary Autonomous AI agents — software that can plan, act, and follow up on tasks with little human direction — have moved from experimental projects into real business use. Platform vendors and startups now offer agent-building tools and orchestration layers that let teams automate workflows like lead qualification, recurring reporting, and multi-step customer follow-ups.

Short summary AI “agents” — autonomous systems that carry out multi-step tasks across apps and data — moved from research demos into real business pilots in 2023–24. Companies are now using agents for things like automated customer follow-up, cross-system reporting, and routine process work (expense approvals, restocking, scheduling). That shift matters because agents can cut

What’s happening now – Autonomous AI agents — software that can take multi-step actions on behalf of people — moved from niche experiments into real business use in 2024. Teams are using them to draft follow-ups, update CRMs, run data pulls, and assemble recurring reports without constant human hand-holding. – Platforms and integrations (think agent

Quick summary AI agents — small, goal-oriented AI systems that can use tools, access calendars and CRMs, and take multi-step actions — have moved from experiments into real business pilots. Companies are using them to qualify leads, auto-compose and follow up on sales outreach, triage support tickets, and generate timely operational reports. The result: faster