Ron Mitchell

Short summary AI agents — multi-step, autonomous assistants that can search your systems, take actions, and generate reports — went from tech demos to real business pilots in 2023–2024. Major vendors and open-source tools made it easier to build agents that connect to CRMs, ERPs, email, and analytics. That means companies can automate complex workflows […]

Hook — quick take Autonomous AI agents moved from research demos into real business pilots in 2024. Companies are now using agents to run follow-ups, surface insights from messy data, and automate routine workflows — freeing humans to focus on higher-value work. The story in plain English Over the last year, vendors and cloud providers

Quick summary AI agents — autonomous software that uses large language models plus tools, connectors, and “memory” to complete tasks — have moved from labs into real business pilots. Companies are now using agents to run sales outreach, generate and distribute executive reports, handle routine customer follow-ups, and orchestrate multi-step operational workflows with far less

Short summary AI agents — autonomous, task-oriented systems built from large language models plus data connectors — have moved fast from demos to real work. Businesses are using them to qualify leads, triage customer requests, generate regular reports, and automate repetitive back-office tasks. The technology is no longer just experimental: improved retrieval (vector search), safer

Short summary AI “agents” — autonomous workflows built on large language models — are moving from labs into everyday business use. Instead of one-off prompts, agents combine decision logic, data access, and action (update CRM, send an email, create a report) so tasks run end-to-end with minimal human handoff. Why this matters for business –

Quick summary AI agents — autonomous software that uses large language models, connectors, and simple tools to do tasks for you — moved from experiments to business pilots in 2023–2024. Major vendors added “agent” and “copilot” features, and companies are now using agents to run outreach, assemble reports, qualify leads, and automate routine workflows. Why

What’s happening – Autonomous AI agents — software that can take actions, make decisions, and carry out multi-step workflows — are no longer just lab demos. Over the past 18–24 months they’ve been embedded into CRMs, RPA tools, and analytics platforms to handle tasks like lead qualification, follow-up emails, scheduling, and automated reporting. – These

Quick summary – In the last year major vendors (Microsoft, OpenAI and others) launched easy ways to build custom AI agents and copilots that connect to your apps and data. – These agents can read CRM records, pull spreadsheets, draft emails, update opportunities, and generate reports — all with natural-language prompts. – The result: faster

Why AI agents are moving into the boardroom — what business leaders need to know Summary of the story – Autonomous “AI agents” — systems that combine large language models with tools, APIs, and workflows to act on behalf of users — have moved from demos and hacker projects into enterprise pilots. – Vendors and

Short summary AI “agents” — autonomous software that can carry out multi-step tasks across apps — are moving from tech demos into real business use. Instead of a human copying data, switching between tools, and sending follow-ups, an AI agent can read your CRM, draft personalized emails, update records, and schedule meetings — all with