Ron Mitchell

Quick take AI agents — autonomous systems that can carry out multi-step tasks (think: research, draft, update your CRM, and schedule a meeting) — are no longer just demos. Over the past year the technology has matured: platforms now offer stronger connectors to CRMs and BI tools, safer data handling, and orchestration layers that let […]

Quick summary AI “agents” — software that autonomously performs multi-step tasks by talking to systems, APIs, and people — have moved from demos into practical business use. Today you can deploy agents that qualify leads, draft and send personalized outreach, update your CRM, generate weekly sales reports, and even trigger workflow automation when conditions change.

Short summary Earlier this year OpenAI launched “Custom GPTs” — an easy way to build tailored AI agents without heavy engineering. Businesses can create assistants that read company documents, call APIs, connect to CRMs, and follow specific instructions. That turns general-purpose LLMs into focused tools for sales, support, finance, and operations. Why this matters for

Quick summary – What’s happening: In recent months more enterprise-ready AI agents — systems that act autonomously across apps and data — have moved from proof-of-concept into everyday business tools. Companies can now give agents permissioned access to CRM, ERP, email and BI tools so the agents can run tasks, create reports, and take simple

Summary In recent months we’ve seen a clear shift: major AI platforms and cloud vendors are moving from standalone models to “AI agents” — configurable, task-focused bots that can access your apps (CRM, ERP, BI), pull context from databases, and take multi-step actions. These agents combine retrieval (RAG) and connectors to create grounded, auditable workflows

Quick summary AI “agents” — autonomous workflows powered by large language models — are moving beyond labs and marketing demos into real business pilots. Instead of just answering questions, these agents can fetch data, draft emails, update CRMs, trigger workflows, and generate reports with little to no human prompting. That shift is making automation smarter,

Summary AI agents — autonomous software that can read your data, connect to apps, and complete multi-step tasks — are no longer just research demos. Over the past year we’ve seen toolkits, connectors, and low-code platforms make it easier for companies to deploy agents that handle things like lead qualification, invoice exception handling, and automated

Quick summary – Over the last year we’ve seen a clear shift from “chatbots” to autonomous AI agents — tools that can take multi‑step actions (reach out to leads, schedule meetings, update CRMs, generate reports) rather than just answer questions. – Major vendors and startups are shipping agent-capable products and many companies are piloting them

Summary In the past several months AI “agents” — autonomous software that can use tools, fetch data, and act on your behalf — have moved from research demos into enterprise-ready products. Major vendors and startup platforms now offer agents that connect to CRMs, calendars, databases, and reporting systems. That means AI can do more than

Quick summary – Over the past year major AI platforms have made “agents” — autonomous, task-focused AI that can connect to apps, pull data, and act on behalf of users — much easier to build and deploy. – These agents can do things like qualify leads, draft and send follow-ups, update CRMs, and generate recurring