Ron Mitchell

Big picture summary AI “agents” — autonomous assistants that can use tools, query your systems, and carry out multi-step tasks — are no longer just lab demos. Companies are combining commercial copilots and open-source agent frameworks to automate work like lead qualification, competitive research, and recurring reporting. The result: faster decisions, fewer manual tasks, and […]

Short summary AI agents — autonomous, goal-driven bots that can read your CRM, run queries, send emails, and update systems — are finally crossing from experiments into everyday business work. Companies are using agents to qualify leads, automate follow-ups, run recurring reports, and trigger actions (like pricing changes or inventory checks) without waiting on a

Story summary AI agents — software that can plan, act, and follow up on tasks with minimal human direction — have shifted from research demos to real business pilots. Over the past year we’ve seen more vendors and platforms make it easier to build and run agents that connect to email, calendars, CRMs, and internal

Short summary AI “agents” — small, task-focused AI assistants that can read systems, take actions, and run multi-step workflows — are moving from research labs into everyday business tools. Thanks to advances in agent frameworks (think specialized GPTs, plugins, and tool integrations), teams can automate outreach, enrich leads, update CRMs, and produce on-demand sales and

Why autonomous AI agents are the next frontier for business automation Post: Big picture: over the last 12–18 months, AI agents — systems that can access tools, query company data, and take actions (like sending emails, updating CRM records, or generating reports) — moved from demos to production-ready platforms. Cloud vendors and startups now offer

Short summary AI agents — software that can act on your behalf (draft emails, qualify leads, pull insights from data, or trigger workflows) — are moving from lab demos to real business use. Companies are now embedding these agents into CRM, BI, and operational tools so they can automate repetitive work, deliver faster insights, and

Short summary AI agents — goal-driven AI tools that act on your behalf (think: draft emails, pull sales reports, schedule follow-ups, or run analyses) — have moved from research demos into real business workflows. Over the last year we’ve seen vendor platforms and third-party builders make these agents easier to configure and connect to CRMs,

Why this story matters AI agents — software that can carry out multi-step tasks on its own (think: qualify leads, schedule meetings, update systems, and draft reports) — are no longer just demos. Over the past year we’ve seen a clear shift: enterprises are moving from experiments to real deployments that touch sales, operations, and

Quick summary Over the last year major AI platforms (OpenAI, Microsoft, Google and others) have pushed “AI agents” — customizable, conversational bots that can act on your systems and data — into mainstream business tools. Instead of one-off chat responses, these agents connect to CRMs, calendars, analytics, and document stores to qualify leads, generate outreach,

Summary OpenAI’s GPTs (launched in 2024) let companies build custom AI agents without heavy engineering. You can create branded assistants that connect to internal data, run repeatable workflows, draft customer messages, and produce reports — all through a friendly, low-code interface. That shift makes powerful AI agents accessible to more teams, not just developers. Why