Ron Mitchell

Short summary AI agents — software that can act autonomously across apps (book meetings, update CRMs, generate reports, trigger approvals) — moved from proof-of-concept to real business use in the last 12–18 months. Major SaaS vendors and a new wave of orchestration platforms now let companies connect AI agents to internal data and workflows safely […]

Quick summary AI agents — autonomous software that can read your data, take actions, and follow multi-step workflows — moved from experiment to business-ready over the last year. Major platforms now let companies connect agents to internal CRMs, databases, calendars, email, and dashboards. That means agents can do real work: qualify leads, draft and send

Short summary AI agents — autonomous, task-focused AI that can read systems, take actions, and report back — moved from hacker demos into real business tools in 2025. Companies are now using them to run routine sales outreach, triage customer requests, and produce executive-ready reports without pulling people off high-value work. Why this matters for

Summary Over the past year we’ve seen AI “agents” — autonomous, task-focused AI assistants — move out of labs and into real business workflows. Companies are using agents to draft personalized outreach, monitor sales pipelines, update CRM records, generate regular reports, and triage customer requests. The result: faster responses, fewer manual handoffs, and more scalable

The story in a sentence Autonomous AI agents — software that plans, acts, and learns to complete multi-step business tasks — have moved from research demos to real-world workflows. Tooling (agent frameworks, integrations with CRMs and cloud data, and “Copilot”-style assistants) now makes it practical for companies to automate tasks like lead research, pipeline updates,

Story summary AI agents — small, goal-oriented systems that can act across apps and data sources — moved from research demos to real business use over the last 18 months. Companies are now connecting these agents to CRMs, ticketing systems, ERPs and analytics platforms so the agents can perform tasks like qualifying leads, generating weekly

Quick summary Over the last 18–24 months, AI agents — systems that can carry out multi-step tasks, connect to apps, and act on your behalf — moved from demos to real business use. Large vendors (Copilots and agent features from major cloud providers) plus smaller specialized platforms now let companies automate workflows, generate dynamic reports,

Quick summary Over the past year we’ve seen a major shift: AI agents — autonomous, task-focused AI that can access company systems, take actions, and generate live reports — are moving from experiments into real business use. Companies are using these agents to qualify leads, run outreach sequences, update CRMs from meeting notes, and produce

Quick summary AI “agents” — autonomous assistants that can read your CRM, pull data from reporting tools, send emails, and take follow-up actions — are no longer a niche experiment. Major cloud and AI platforms now offer agent frameworks and easy connectors to business systems, so teams can build agents that qualify leads, create weekly

Quick summary AI agents — autonomous software that can read, plan, act, and talk to other systems — have moved out of demos and into real business use. Companies are now using agents to draft sales emails, qualify leads, generate recurring reports, and trigger downstream processes (CRM updates, invoicing, scheduling). Cloud providers and tool vendors