Ron Mitchell

Quick summary AI agents — systems that can carry out multi-step tasks across apps without constant human prompts — are moving from experiments into real business workflows. You’re seeing them schedule meetings, qualify sales leads, generate and deliver monthly reports, reconcile invoices, and update CRMs automatically. Big SaaS and cloud vendors are embedding agent-style features […]

Quick summary AI “agents” — autonomous software that can act, decide, and connect to your systems — are rapidly moving from labs to real business use. Instead of just answering questions, agents can qualify leads, update your CRM, generate weekly sales reports, book meetings, and trigger downstream workflows automatically. That shift means AI is becoming

Quick summary – The big shift: AI agents — software that can act on your behalf, connect to data, and carry out multi-step tasks — are moving from experiments into real business use. Companies are using them to automate repetitive work, speed reporting, and handle simple customer interactions without constant human hand-holding. – This matters

Big story in brief AI agents — autonomous, task-focused assistants that can read your systems, take actions, and follow multi-step processes — have moved from labs into real business use. Major platform providers now offer tools that let non‑engineers build and connect agents to CRM, calendar, document stores, and BI systems. That means things like

Short summary AI “agents” — small, goal-directed AI programs that can take actions (send emails, pull reports, update CRMs, schedule meetings) — have moved from experiments into real business use. Instead of a person copying and pasting prompts, agents connect to your systems, apply rules and data, and complete tasks end-to-end. That makes them ideal

Story pick (short): Autonomous AI agents — goal-driven AI that can use tools, apps, and APIs to complete multi-step tasks — are shifting from lab demos into real business workflows. Companies are using them to qualify leads, pull and summarize data, run recurring reports, and automate routine sales and operations steps. Why this matters for

Summary There’s a clear shift: AI agents — autonomous, workflow-driven AI that can take actions across apps, pull data, and generate reports — are moving from lab demos into everyday business tools. Major vendors and a growing set of enterprise platforms now offer low-code agent builders, integrations with CRMs and data warehouses, and features for

Quick summary AI agents — automated software that can carry out multi-step tasks, make decisions, and talk to other systems — have moved from proof-of-concept demos into real business workflows. New orchestration tools, better connectors to CRMs and ERPs, and easier low-code builders mean teams can now automate complex processes end-to-end: think proactive lead follow-up,

What’s happening Autonomous AI agents — tools that can carry out multi-step tasks, connect to apps, pull data, and take actions — have matured from demos into production pilots. Large platform vendors and niche startups now let agents access CRMs, ERPs, databases, and reporting systems. Companies are using them to draft sales outreach, triage support

Why this story matters now AI agents — autonomous, task-focused AI that can read your systems, call APIs, draft messages, and take next steps — have moved from experiments to real business pilots. Advances in large language models, agent orchestration tools, and ready-made connectors mean companies can automate multi-step work (lead enrichment, follow-ups, recurring reports)