Ron Mitchell

Short summary Autonomous AI agents — software that can perform multi-step tasks with minimal human input — are moving from labs into everyday business use. Instead of a simple chatbot that answers questions, agents can qualify leads, book meetings, create or update CRM records, generate sales reports, and trigger follow-up workflows. That shift matters because […]

Quick summary Over the last year, generative AI and “AI agents” have moved from experiments to real-world business tools. Analytics and cloud vendors are embedding generative capabilities into reporting platforms, and teams are building agents that can pull from your CRM, ERP, and internal docs to generate daily briefings, flag exceptions, and even recommend next

Quick summary AI agents — software that can browse, act on your behalf, and connect to apps via APIs — moved from demos into real workflows over the past year. Companies are using agents to draft outreach, triage customer requests, generate reports from multiple data sources, and automate parts of the sales process. That shift

Short summary AI agents — autonomous systems that can act on your behalf across apps and data — are no longer just a developer toy. Companies are using them to do end-to-end tasks like qualifying leads, compiling sales reports, and handling routine customer requests. That shift changes how work gets done: fewer manual handoffs, faster

Quick story AI agents — small, goal‑oriented AI assistants that act on your behalf — have moved from research demos into real business tools. Vendors and platforms are embedding agents into CRMs, reporting stacks, and workflow apps so these assistants can qualify leads, summarize calls, build tailored reports, and trigger follow‑up actions without constant human

Summary AI agents — software that can plan, act, and complete tasks with little human direction — are rapidly moving from research demos into real business use. These agents combine large language models with connectors to your data (CRM, ERP, email), automation tools, and simple decision rules to do work such as qualifying leads, generating

Quick summary Big vendors are rolling out easy ways to build “AI agents” — small, task-focused AI assistants that can read your data, use apps, and take actions. That means businesses can automate things like sales outreach, meeting prep, and reporting without building models from scratch. Why this matters for your business – Faster results:

The story in brief AI agents — autonomous software that can carry out tasks, call company tools, and follow multi-step workflows — moved fast from research demos into real business use in 2024–2025. Companies are now using agents for things like automated sales outreach, customer triage, invoice processing, and on-demand business reporting. These agents combine

Pick the story (quick context) AI “agents” — autonomous, goal-driven software that can read, act, and learn — moved from demos into real business use in 2024–2025. Low-code agent platforms, stronger integrations with CRMs and ERPs, and better safety controls mean companies are no longer experimenting at the edges: they’re putting agents into sales outreach,

Summary There’s been a clear shift: AI agents — autonomous, workflow-capable systems that can read data, take actions, and coordinate tools — are no longer research demos. Over the last 12–18 months we’ve seen commercial agent frameworks and enterprise connectors that let teams automate multistep tasks like personalized sales outreach, invoice processing, and monthly reporting.