Ron Mitchell

Short summary AI agents — software that can act autonomously across apps, APIs and data sources — moved from demos to real business use in 2023–24. Leading AI platforms now let organizations create agents that do things like assemble sales reports, triage customer inquiries, update CRMs, and run repeatable workflows without constant human prompting. Why […]

Short summary AI agents — goal-driven AI systems that connect to tools, data, and workflows — have moved from experiments into real business pilots. Instead of a single prompt and response, agents handle multi-step tasks: they pull data from your CRM, run checks, draft emails, update records, and generate a concise report for a manager.

The story (short) Over the last 18 months we’ve seen a clear shift: AI agents — autonomous, task-focused AI assistants that can read systems, take actions, and report outcomes — are moving out of R&D and into everyday business use. Companies are wiring agents into CRMs, ERPs, and reporting stacks to do things like qualify

Quick summary AI is moving beyond chatbots into autonomous “AI agents” — smart assistants that can take multi-step actions across apps (send emails, update CRMs, pull reports, and even launch follow-ups). Over the past year many platforms have released agent frameworks and low-code connectors that let these systems act on behalf of teams while keeping

Short summary A new wave of “AI agents” — autonomous, task-focused AI that can read your data, act inside apps, and follow multi-step workflows — is making it practical for companies to automate complex parts of sales, ops, and reporting. Major platforms and startups have launched agent tools and templates that let non-engineers prototype use

Summary AI “agents” — systems that can plan, act, and follow up on tasks with little human prompting — are now moving out of labs and into business workflows. No-code and low-code agent builders, combined with retrieval-augmented models and connectors to CRMs, ERPs and reporting tools, make it possible for non‑technical teams to deploy agents

Big trend in one sentence AI agents — autonomous software that reads your data, talks to your tools, and takes actions — have moved from experiments to real business use: driving sales outreach, automating pipeline reporting, and handling routine customer tasks. Why this matters for businesses – Faster, more personalized outreach: agents can draft and

Short summary AI agents — autonomous, task-focused AI that can read data, call systems, and take multi-step actions — are quickly moving from experiments into everyday business tools. Major vendors and startups are bundling agent frameworks and “copilot” features into CRM, analytics, and automation platforms so these agents can draft outreach, update records, generate reports,

Quick summary – Over 2024 we saw AI “agents” move from research demos to real business tools: no-code agent builders, agent orchestration platforms, and tighter integrations with CRMs, databases, and BI systems. – These agents aren’t just chatbots. They can run workflows, pull facts from company data, draft outreach, generate reports, and trigger actions across

Quick summary – Over the past 12–18 months, “AI agents” — autonomous, multi-step AI assistants that can act on behalf of users — have moved out of demos and into real business pilots. Vendors and open-source projects now offer agent frameworks that connect language models to company systems, automation tools, and reporting pipelines. – That