Ron Mitchell

Quick summary AI “agents” — purpose-built chatbots and automation assistants that act on data and systems — have shifted from lab demos to real business use. Today, companies are using agents to qualify leads, update CRMs, generate sales reports, and trigger routine workflows without human hand-holding. That shift matters because these agents can cut repetitive […]

Short summary A new wave of “AI agents” — prebuilt, customizable AI assistants that can act on data, apps, and workflows — is moving from demos into everyday business use. Major cloud providers and startups have released agent frameworks and marketplaces that make it easier to connect models to CRMs, ERPs, calendars, and analytics systems.

Hook (first line): If your sales team spends hours qualifying leads, pulling reports, and chasing follow-ups — AI agents can take that off their plates. What’s happening – Low-code and no-code platforms from major AI providers now let companies build task-specific AI agents — virtual assistants that can read systems, take actions, and carry out

Quick summary AI agents — software that can act across apps, make decisions, and carry out multi-step tasks — have moved beyond labs and proofs-of-concept into real business value. Advances in agent frameworks, better integrations with CRMs and ERPs, and improved safety controls mean teams can now automate sales outreach, handle routine finance workflows, and

Short summary AI “agents” — autonomous, multi-step AI assistants that can fetch data, run analyses, and take actions — are moving from demos into real business use. Sales teams, operations, and finance groups are starting to use agents to auto-generate reports, triage customer requests, update CRMs, and automate repeatable workflows. Why this matters for business

Quick summary AI agents — autonomous software that can research, draft, execute tasks, and update systems — have become far more practical for business use. Over the last year we’ve seen more off-the-shelf agent tools and integrations for CRMs and reporting platforms, lower deployment costs, and clearer ROI in pilot projects. That means companies can

Summary AI agents — autonomous, multi-step AI assistants that can research, act, and report — went from developer experiments to practical business tools over the past year. Major platform vendors and low-code vendors made building and connecting agents much easier, and companies are now using them for lead research, automated outreach, ticket triage, and real-time

Quick summary Over the past year major vendors (OpenAI, Microsoft, Google and others) pushed AI agents from demos into production-ready features — think custom GPTs, Copilot actions, and agent APIs that can read your systems, take actions, and follow multi-step workflows. These aren’t just chatbots: they can fetch CRM data, draft proposals, run reports, and

Quick summary AI “agents” — autonomous workflows built from large language models plus tools (CRMs, calendars, databases, email) — are no longer just lab experiments. More companies are using agents to run repetitive sales tasks, generate on-demand reports, and automate follow-ups. That means faster responses to customers, fewer manual reports, and more time for your

Short summary 2024 brought a big shift: AI agents — purpose-built assistants that combine large language models with tools, data connectors, and simple workflows — moved from research demos into real business use. Major cloud vendors and a wave of low-code platforms made it easier to build agents that can read your CRM, pull from