Ron Mitchell

Recent story (short summary) Autonomous AI agents — smart programs that can act on behalf of people to find information, take actions, and run routine workflows — have moved from lab demos to real business pilots. Over the last 18 months we’ve seen enterprise tools (copilots, orchestration platforms, and retrieval-augmented workflows) make it realistic for […]

AI agents — autonomous, goal-driven software that can read, decide, and act — moved fast in 2024 from labs and demos into real business pilots. Major vendors and startups have shipped agent frameworks that plug into email, CRM, cloud data, and internal tools. That shift means this is no longer just a tech trend: it’s

Summary AI agents — lightweight, goal-directed systems that act on your behalf — are finally practical for business. Advances in retrieval-augmented models, easy API integrations with CRMs, and improved guardrails mean teams can deploy agents to do real work: follow up on leads, qualify prospects, clean pipeline data, and generate recurring sales and financial reports.

Short summary AI “agents” — autonomous software that can read, reason, act, and coordinate across apps — have moved past demos and into real pilot projects across sales, ops, and finance. Companies are using agents to draft personalized sales outreach, automate recurring reports and reconciliations, and run routine customer interactions without constant human direction. The

Quick summary AI agents — autonomous, multi-step AI assistants that can access your systems, run tasks, and communicate — are leaving the lab and entering real business workflows. Over the last year more companies have put agents into production for customer support, sales outreach, reporting, and routine ops. These agents combine large language models with

Quick summary AI “agents” — autonomous assistants that can research, draft messages, update systems, and generate reports — are moving from lab demos into real business use. Teams are using agents to auto-personalize outreach, summarize customer calls, and create near-real-time sales and operational reports without manual data wrangling. Why this matters for your business –

Quick story Over the last year we’ve seen AI agents and low-code AI orchestration platforms stop being niche experiments and become practical tools for frontline teams. Major workflow and automation vendors added agent-style capabilities so sales reps, ops teams, and analysts can run multi-step tasks — e.g., qualify leads, update CRMs, generate monthly reports, and

Short summary Leading AI providers and cloud platforms have been rolling out easy-to-build “autonomous AI agents” and deeper integrations with business systems. These agents can do multi-step work — triage leads, draft personalized outreach, update CRMs, pull data from your systems, and build reports — without constant human direction. The result: routine tasks move faster,

TL;DR — Big vendors and startups have made building “AI agents” (autonomous, multi-step AI workflows) much easier. That means businesses can automate sales tasks, customer triage, and even parts of financial reporting without months of engineering. Here’s why it matters and how [RocketSales](https://getrocketsales.org) helps you move from idea to measurable ROI. What happened (short summary)

Quick summary AI agents — autonomous, task-focused AI that can take actions (send emails, pull reports, update CRMs, schedule meetings) — moved from research demos into real business pilots in 2023–2024. Tools and frameworks (e.g., agent orchestration libraries, low-code agent builders and enterprise copilots) are making it possible for teams to create agents that run