Ron Mitchell

Quick summary Big vendors and toolmakers are rolling out easy ways to build “AI agents” — autonomous assistants that can search your systems, run multi-step processes, and talk to customers or teams. That means businesses are no longer limited to one-off chatbots or reporting scripts. Companies are successfully using agents today for things like lead […]

Quick summary – Autonomous AI agents — software that can act on your behalf, pull data from systems, and complete tasks — moved from experimental to practical. Today they’re being used to automate repetitive sales tasks, generate and update reports, and handle customer follow-ups without a human in the loop for every step. – That

Quick summary AI agents — software that can act autonomously to complete tasks, talk to systems, and make decisions — just crossed a practical threshold. Recent platform improvements and low‑code agent builders mean companies can now deploy agents that integrate with CRMs, calendars, and data stores without months of engineering work. Why this matters for

Quick story Over the last year major business platforms have accelerated embedding AI agents (a.k.a. “copilots”) directly into CRM, collaboration, and reporting tools. These agents can draft personalized outreach, summarize calls, update pipeline stages, generate automated sales reports, and surface deal risks — often in real time. Early adopters report big time savings for reps

Quick summary AI agents and “copilot” tools are moving fast from experiments into everyday business systems. Instead of a research demo, these agents are now embedded in CRMs, service desks, and analytics platforms to do real work: qualify leads, draft emails, summarize meetings, automate approvals, and generate sales and operations reports. The result is less

What’s happening Autonomous AI agents — small AI programs that plan, act, and connect to your apps — moved from demos into real business use in recent years. Companies are using them to run multi-step tasks without constant human prompts: qualifying leads, preparing weekly sales reports, reconciling invoices, and routing customer issues to the right

Short summary AI “agents” — autonomous, task-focused AI that can read, act, and coordinate across apps — moved from experiments into production in 2025. Companies are now using agents to run repeatable workflows: qualify leads, generate weekly sales reports, route customer issues, and automate parts of contracts and purchase approvals. The result: faster decisions, fewer

Quick summary AI “agents” — models that can plan, act, and use tools like CRMs, calendars, and dashboards — are no longer a niche experiment. They’re being used to qualify leads, update pipelines, summarize meetings, and generate regular reports automatically. That shift is unlocking faster decisions, more personalized outreach at scale, and far less manual

The story (short) Over the past year we’ve seen a clear shift: AI agents — autonomous, multi-step AI workflows that can read data, take actions, and follow up — are moving out of labs and into real business processes. Companies are using agents to draft and send personalized sales outreach, update CRMs automatically, summarize customer

The story (short) Over the past year organizations of all sizes have moved from experimenting with chatbots to deploying autonomous AI agents that can execute multi-step workflows — for example: qualify leads, update CRM records, pull financial KPIs, generate weekly reports, and hand off exceptions to humans. These agents combine language models, retrieval (RAG), connectors