Ron Mitchell

Big-picture story Over the past year, AI vendors made it much easier for businesses to build “agents” — task-focused AI that can read data, take actions, and talk to other apps. Tools like custom GPTs, agent APIs, and plug-ins let teams create assistants that draft emails, run reports, triage tickets, and trigger workflows without heavy […]

Quick summary AI agents — software that can act autonomously to research, decide, and carry out tasks — went from niche experiments to mainstream tools across 2023–24. Platforms and frameworks (from vendor-built copilots to open agent frameworks) now let businesses automate multi-step work: summarize data, draft customer outreach, update systems, and generate reports without constant

Quick summary Autonomous AI agents — software that can run tasks, connect to tools, and make decisions with minimal human input — are no longer just demos. Over the past year we’ve seen platforms and vendors productize agent frameworks, plus better integrations with CRMs, databases, and reporting tools. That makes it practical for companies to

Quick summary AI agents — software that can carry out multi-step tasks, talk to your systems, and learn from feedback — have moved from lab experiments into real business use. Companies are now using agents to run sales outreach, assemble and explain performance reports, automate approvals, and handle routine customer requests. That shift makes AI

The story in a sentence AI agents — autonomous software that can read, act, and talk to your systems — are moving out of pilots and into real sales and operations use. Businesses are using agents to handle lead qualification, schedule follow-ups, update CRMs, and produce recurring reports — freeing teams to focus on strategy

Summary AI agents — purpose-built assistants that can read your systems, run processes, and act on behalf of users — have moved from demos into real business use. Modern platforms (custom GPTs, Copilots, plugins and orchestration tools) let companies connect these agents to CRMs, ERPs, BI dashboards and document stores so they can answer questions,

Quick summary AI agents — autonomous, workflow-focused assistants that can read your systems, take actions, and generate reports — are no longer just pilots in R&D labs. In 2024–25 we’ve seen more companies put these agents into everyday work: qualifying leads, summarizing customer conversations, automating expense approvals, and generating weekly sales reporting. The result is

Why “AI agents” are the next big lever for business AI, and how to get started Story summary Over the past year major AI vendors and startups accelerated support for autonomous “AI agents” — software that can carry out multi-step tasks, connect to business systems, and act with limited human direction. These agents can do

Quick summary There’s been a clear shift: AI agents — not just chatbots but configurable, semi-autonomous assistants — are now practical for everyday business work. Vendors and startups are releasing no-code/low-code builder tools that connect agents to CRMs, databases, calendars, and reporting systems. That means agents can now qualify leads, draft proposals, automate routine reporting,

What happened – In 2024 we saw a big shift: platforms started making it easy to build “AI agents” — purpose-built models you can tailor for tasks like sales outreach, customer support, or internal reporting. – OpenAI’s Custom GPTs (released early 2024) popularized the idea: non‑developers can configure a model’s instructions, connect it to tools