Ron Mitchell

Quick summary AI agents — software that can act autonomously across apps, pull data, and complete multi-step tasks — moved from experiments to real business use in 2025. Companies are now using agents to qualify leads, automate routine ops, generate executive reports, and orchestrate workflows across CRMs, ticketing systems, and cloud files. Why this matters […]

We’re in the middle of a practical shift: AI agents — small, task-focused AI “workers” that can read your data, take actions, and automate decisions — are no longer just experiments. Businesses are combining these agents with secure data retrieval (think vector search/RAG) and low-code integrations so an agent can pull CRM records, generate a

Short summary AI “agents” — autonomous tools that can act on behalf of a user (pull data, send messages, create reports, trigger systems) — have moved from experiments to practical business tools. Over the last year we’ve seen more off-the-shelf and enterprise-ready agent frameworks, better integrations with CRMs and ERPs, and safer guardrails for production

Summary There’s a clear wave right now: vendors and startups are embedding autonomous AI agents into everyday business tools — CRMs, help desks, reporting dashboards and workflow automation platforms. These agents can research leads, draft outreach, qualify inbound inquiries, generate executive summaries from sales activity, and even trigger follow-up tasks — freeing people from repetitive

Short summary Autonomous AI agents — systems that carry out multi‑step tasks on their own by connecting to tools and data — are moving fast from lab demos into real business use. Instead of a human copy-pasting between apps, an agent can qualify a lead, open a CRM record, draft a follow‑up email, and schedule

Summary AI “agents” — software that can act autonomously across systems to complete multi-step tasks — have moved from demo-stage curiosity to real business tools. Major vendors and startups now offer agent frameworks you can customize and connect to CRM, ERP, email, and data warehouses. That means AI can do more than answer questions: it

The story in brief Autonomous AI agents — tools that can take multiple steps on your behalf (gather context, query systems, draft messages, update records, and run reports) — moved from experimental projects into real-world use in 2024–25. Major platform players and startups are embedding agent capabilities into CRMs, chat tools, and analytics stacks. That

Summary AI agents — small, goal-focused AI assistants that can act across apps and systems — are no longer just demos. Over the past year we’ve seen low-code agent builders and embedded “copilots” from major cloud vendors make it practical for teams to automate recurring tasks: qualify leads in CRM, generate weekly financial reports, route

Quick summary A new wave of practical AI agents (autonomous, task-focused AI that can access data and take multi-step actions) is moving out of labs and into real business workflows. These agents can pull from your CRM, generate and send personalized outreach, build executive reports from live data, and even start routine procurement or ticketing

Quick summary AI agents — software that plans, acts, and connects to your systems — are no longer just a developer experiment. Over the last 12–18 months they’ve been embedded into CRMs, BI tools, and low-code platforms, letting businesses automate multi-step tasks: lead qualification, scheduling, data reconciliation, and natural‑language reporting. Why this matters for business