Ron Mitchell

Summary A new wave of AI agents — smart assistants that can read your systems, take actions, and generate insights — is being built directly into CRM and sales tools. These agents can draft emails, prioritize leads, update records, run quick analyses, and produce AI-powered reports without a lot of manual work. Why this matters […]

Quick summary A new wave of AI agents — autonomous systems that can read your apps, carry out multi-step tasks, and generate reports — is moving from experiments into real business use. Companies are already using these agents to qualify leads, run outreach sequences, create internal dashboards, and automate repetitive workflows across CRMs, email, and

Short summary Enterprise AI agents — autonomous, task-focused systems that can read your data, take actions, and produce reports — have moved quickly from demos to real business pilots. Companies are using them to automate repetitive workflows (order processing, lead qualification), generate faster insights from sales and ops data, and even trigger actions across CRMs,

Summary AI agents — autonomous assistants that can read your systems, take actions, and generate structured outputs — are no longer just lab experiments. Over the past year we’ve seen major vendors and startups productize agents for tasks like CRM updates, automated outreach, expense processing, and executive reporting. That means businesses can automate end-to-end workflows

The story, briefly – Over the past year large AI platforms and startups have pushed “AI agents” — autonomous, app-connected assistants that can take multi-step actions (think: qualify a lead, update your CRM, and draft a follow-up email) — into real business pilots. – Companies are using these agents to automate repetitive sales and ops

Quick summary AI agents — small, goal-oriented AI programs that can take actions (send emails, pull data, run reports) — are finally becoming practical for business use. Improvements in large language models, data connectors, and retrieval-augmented generation let agents access company systems and deliver usable outputs — not just demos. That means more teams can

Short summary AI agents — purpose-built software bots that can read, decide, and act across apps — are moving from tech demos into real business use. No-code and low-code agent builders plus tighter integrations with CRMs, ERPs, and reporting tools mean teams can build automated assistants for sales outreach, customer triage, routine reporting, and approvals

Summary AI agents — autonomous software that can complete multi-step tasks without constant human direction — are moving from labs into everyday business tools. Modern platforms and agent frameworks now let companies create agents that qualify leads, update CRMs, generate sales reports, and even coordinate follow-ups across email, Slack, and calendar systems. Why this matters

Short summary AI agents — autonomous, multi-step AI workflows that can fetch data, update systems, and take actions — are no longer just lab experiments. Over the last year we’ve seen vendors and engineering teams bake agent frameworks into production tools, and businesses are using them to handle sales outreach, triage customer questions, and auto-generate

Quick story Over the past year we’ve seen a rapid shift from “chatbots” to true AI agents — autonomous tools that can act across systems: read CRM records, draft outreach, open tickets, refresh reports, and follow up automatically. Vendors are packaging no-code agent builders and pre-built connectors to email, calendars, CRMs, and BI tools. That