Ron Mitchell

Quick summary – Big vendors and startups are embedding AI agents into everyday sales workflows: prospecting, personalized outreach, meeting assistants, pipeline updates, and automated reporting. – These agents combine large language models, retrieval (RAG), and workflow tools to take on multi-step tasks — not just generate text but act across apps (CRM, email, calendars). – […]

Quick summary – Over the last year we’ve seen AI agents — autonomous, multi-step AI tools that can act on your behalf — move from demos into real business workflows. – Vendors and cloud providers are shipping agent frameworks and low-code tools that make it easier to automate prospecting, customer service triage, and narrative reporting.

The story in brief AI agents — software that can carry out multi-step tasks, talk to your systems, and act on behalf of users — have crossed an important threshold. Over the past year more companies have moved pilots into production, and platforms and frameworks have made it easier to build reliable, connected agents. That

Summary AI agents — think configurable, task-focused versions of GPT or Copilot — have shifted from tech demos into real business use. Companies are now using them to draft personalized sales outreach, automate repetitive workflows, and generate routine reports without heavy engineering work. The result: faster execution, fewer manual errors, and more time for high-value

Short summary AI “agents” — autonomous models that can take multi-step actions (send emails, update CRMs, pull reports, schedule meetings) — have moved from experimental demos to practical business tools. Over the past year vendors and startups have focused on integrations, audit trails, and safety features that make agents usable inside sales, operations, and finance

Summary Over the past year major software vendors and startups have pushed “AI agents” — small, goal-driven AI assistants that act inside apps (CRMs, ERPs, inboxes, BI tools) to do work for you. Instead of just answering questions, these agents can triage leads, update records, generate and send reports, and even trigger follow-up workflows. The

Short summary Over the past year we’ve seen AI agents — software that can research, act, and follow up on its own — move from experiments into real business use. Large vendors (copilots from cloud providers) and open-source tools are now easy to connect to CRMs, document stores, and automation platforms. That means an AI

Summary AI agents — software that can take actions for you (like scheduling, drafting emails, pulling reports, and triggering workflows) — are no longer just a tech demo. Over the past year major vendors and startups have pushed agent tools into enterprise apps, making it easier to connect agents to CRM, ERP, and BI systems.

Quick summary AI “agents” — automated, goal-driven AI assistants that can read systems, take actions, and loop in humans — are no longer a lab experiment. Major platforms and vendor tools now let businesses build low-code agents that connect to CRMs, ERPs, databases, and reporting stacks. That shift is making AI agents a fast path

AI agents are changing sales and reporting — what leaders should do next Story summary AI agents — software that can perform multi-step tasks on behalf of users — have moved from demos into real business use. Sales teams are using agents to qualify leads, draft personalized outreach, and update CRMs. Finance and operations teams