Ron Mitchell

Quick summary AI “agents” — software that can act on your behalf (think autonomous chatbots that research, execute tasks, and update systems) — are moving from experiments into everyday business use. Advances in large language models, retrieval-augmented generation (RAG), connectors to CRMs/data warehouses, and low-code orchestration tools mean businesses can now build agents that qualify […]

Quick summary AI “agents” — autonomous assistants that can read data, take actions across apps, and follow multi-step instructions — are no longer just experiments. Businesses are using them to draft and send personalized outreach, monitor KPIs and trigger alerts, build and distribute recurring reports, and automate repetitive operational tasks. That shift makes AI agents

Quick story Autonomous AI agents — systems that plan, act, and complete multi-step tasks with little human input — have moved from demos into real business use. Over the last year, companies of all sizes have begun deploying agents for things like lead qualification, automated reporting, customer triage, and scheduling. Toolkits and cloud vendors now

Big tech and enterprise software vendors have spent the last 18 months building easy ways to create “AI agents” — task-specific bots that can read your documents, connect to your systems, run workflows, and generate reports. That shift (from research demos to low-code builders) is making AI agents practical for sales, customer service, finance reporting,

Short summary There’s a clear shift: autonomous AI agents — systems that can run multi-step tasks, pull data from your tools, and take actions without constant human prompts — are moving from labs into real business use. You’re already seeing them in two places that matter most to revenue teams: automating routine sales work (lead

Quick story Large enterprise AI offerings from Microsoft, Google and several startups have moved from “experiment” to “business ready.” These platforms now include AI agents — software that can take multi-step actions (draft outreach, update your CRM, run data checks, generate weekly reports) with minimal human input. Companies that pilot these agents report big time

What happened – A new wave of AI agents — tools that can connect to your systems, run multi-step workflows, and make decisions with minimal human prompting — is being productized by major vendors and startups. – These agents combine large language models, retrieval-augmented generation (RAG), and API integrations so they can pull from CRM,

Quick summary AI “agents” — autonomous, workflow-driving software that can read data, take actions, and talk to systems — went from niche experiments to practical tools for business during 2023–24. Providers and platforms now let teams build agents that qualify leads, summarize conversations, run recurring reports, and trigger multi-step workflows across CRM, email, and internal

Short summary AI agents — software that can plan, act, and connect systems on their own — have moved from experiments to practical tools for businesses. Rather than simply replying to prompts, modern agents can handle multi‑step work: pull data from your systems, make decisions, update records, and generate reports. That combination of decision-making +

Quick summary AI agents — software that can plan, act, and carry out multi-step tasks with little human direction — are moving from demos into real business use. Major platforms now offer agent toolkits and low-code builders that let companies create assistants for sales outreach, scheduling, customer support, and automated reporting. That means more automation,