Ron Mitchell

Summary AI “agents” — autonomous, task-focused AI that can read systems, take actions, and follow rules — are moving from tech demos into real work. Over the last 18 months, major platforms and low-code tools have made it easier for companies to build agents that do things like draft and send personalized outreach, assemble weekly […]

Short summary AI “agents” — small, goal-driven systems that can fetch data, run rules, write summaries, and take actions — are moving from labs into real business tools. You’ve probably seen early examples in BI and CRM products (think Power BI/CRM copilots and vendor-built agents). More companies are now using agents to automate routine work:

Short summary The EU’s AI Act — recently finalized and now moving into implementation — changes the rules for how companies build, buy, and run AI systems. It doesn’t ban tools; it sets risk-based requirements around safety, transparency, data handling, and human oversight. For businesses using AI agents, automated workflows, or AI-powered reporting, the law

Quick summary Major vendors and adopters are shifting from demos to production: AI agents — autonomous systems that can read your data, take multi-step actions, and talk to customers or systems — are being embedded in CRMs, ERPs, and reporting tools. That means businesses can automate full workflows (lead qualification, account playbooks, recurring reports) instead

Quick story summary AI agents — autonomous, goal-driven software that can read, act, and learn across apps — have shifted from flashy demos to practical deployments. Companies are using agents to run outreach sequences, triage customer requests, generate weekly reports, and automate repetitive back-office work. Platform vendors and toolmakers have made agent frameworks and connectors

Big picture summary AI agents — software that can carry out tasks, talk to tools, and make decisions — have moved from flashy demos to real business use. Over the last year companies have been integrating agents into CRMs, support systems, and reporting pipelines so they can handle lead qualification, automate routine outreach, generate operational

Short summary AI “agents” — programmable assistants that can act across apps and data — have moved beyond demos and into real business workflows. Teams are using them to triage customer requests, draft tailored sales outreach, assemble executive reports, and automate routine back-office tasks. The result: faster decisions, lower labor costs, and more consistent outcomes

Summary There’s a clearer shift this year: AI agents — autonomous, API-connected assistants built on large language models and retrieval systems — are moving from experiments into everyday business work. Instead of one-off chatbots, companies are using agents that can: – pull customer context from your CRM, – draft and send personalized outreach, – update

Quick summary – What’s happening: There’s a growing wave of practical AI agents — software that can act on your behalf across apps (CRM, email, spreadsheets, BI tools). These agents can qualify leads, update records, generate weekly sales reports, and even run follow-up sequences without constant human direction. – Why it matters for business leaders:

Story summary AI “agents” — autonomous systems that can research, write, schedule, and act across apps — moved from labs into real business use in 2024–25. Companies are using these agents to run parts of the sales cycle, qualify leads, generate reports, and automate repetitive workflows. Rather than just suggesting actions, modern agents can act