Ron Mitchell

Quick summary Major AI platform updates from OpenAI, Microsoft, and Google have put capable AI agents into reach for everyday business use. These agents can access your data, call apps, and carry out multi-step tasks — for example, triaging support tickets, creating personalized sales outreach, and generating monthly performance reports automatically. Why this matters for […]

AI agents are starting to run sales workflows — what that means for your business Summary (what’s happening) – Autonomous AI agents—software that can plan, act, and complete multi-step tasks—have moved from proofs-of-concept into real business use. Advances in large language models, agent frameworks, and vector databases make it practical to have agents qualify leads,

Short summary AI “agents” — autonomous or semi‑autonomous software that can read, act, and follow multi‑step instructions — have moved from lab demos into real business use. Major cloud vendors and toolmakers now offer ways to connect agents to CRMs, calendars, databases, and internal knowledge so they can qualify leads, draft customized outreach, update opportunity

Quick summary Autonomous AI agents — software that can take multi-step actions (research, write, send, update systems) with limited human prompts — are no longer just experiments. Over the past year we’ve seen sales teams, ops groups, and finance teams pilot agents to qualify leads, draft personalized outreach, generate automated reports, and keep CRM records

Quick summary – Over the past year, AI agents—autonomous, multi-step AI programs that can act on behalf of users—have moved from experiments to real-world business use. Major platforms and tools are now making it easier to connect agents to CRMs, calendars, document stores, and reporting systems. – That means agents can do things like draft

Quick summary AI agents — autonomous, workflow-focused AI that can read CRM data, draft outreach, schedule follow-ups, and update records — have moved from experiments to real business tools. New integrations and low-code builders mean these agents can run 24/7, handle high-volume qualification, and feed automated reporting into your dashboards. Why this matters for business

Quick summary AI agents — autonomous, connected AI programs that can read systems, take actions, and generate reports — are moving from labs into real business workflows. Instead of a human copy-pasting between tools, an agent can pull CRM data, run analysis, update records, and produce a tailored sales report or outreach sequence — all

Quick summary AI “agents” — autonomous workflows that read your data, take actions, and follow rules — moved in 2024–25 from tech demos into real business use. Cloud vendors and startups shipped more robust agent platforms, and companies began using them for routine work: personalized sales outreach, automated reporting, invoice reconciliation, and 24/7 customer triage.

Quick summary AI agents — configurable, autonomous assistants that can run tasks, call apps, and produce reports — are moving from experiments to everyday tools. Vendors and startups are packaging agent frameworks (think customizable GPTs + tool integrations) that let companies automate workflows, surface insights, and respond to customers with less human hand‑holding. Why this

Summary AI “agents” — business-facing assistants that can read systems, run workflows, and take actions (think: summarize meetings, update your CRM, generate proposals, and create reports) — are moving from demos into real deployments. Vendors and open-source frameworks make it easier to connect agents to email, CRMs, and reporting tools. That means faster workflows, fewer