Ron Mitchell

Short summary AI agents — models that can take multi-step actions across apps and systems — are moving from labs into real business use. Instead of only answering questions, agents can draft outreach, update CRMs, pull and summarize reports, and even execute parts of approval workflows. That shift turns AI from a “tool” into an […]

Short summary A new wave of AI agents and enterprise copilots — driven by custom-model tooling from major vendors and improved API integrations — is making it realistic for businesses to automate complex tasks end-to-end. These agents can pull data from CRMs, generate scheduled reports, triage customer messages, book meetings, and even execute routine workflows

Autonomous AI agents are moving from experiment to business tool — what leaders should do next The story in one line Autonomous AI agents — small software “workers” that read company data, talk to apps, and complete tasks end-to-end — are leaving pilot projects and becoming a practical way for businesses to automate sales activities,

Short summary AI “agents” — autonomous, task-focused assistants built on large language models — are no longer just demos. Over the last year we’ve seen rapid progress in agent frameworks, retrieval-augmented generation (RAG), and low-code integrations that let companies connect agents to CRMs, databases, and reporting systems. That makes it faster and cheaper to automate

Quick summary AI “agents” — autonomous, goal-driven systems that can connect to apps, fetch data, and take actions — have moved from experimental demos to practical tools for everyday business work. New platforms and connectors make it easier to give agents secure access to CRM, ERP, helpdesk, and reporting systems so they can do tasks

Quick summary AI agents — small, goal-focused AI systems that act on behalf of people — are no longer just a tech demo. Over the past year we’ve seen a clear shift: organizations are moving agents into production to handle tasks like lead qualification, CRM updates, meeting scheduling, and automated reporting. The result is faster

Quick summary AI “agents” — software that acts on your behalf, links multiple systems, and completes multi-step tasks — have shifted from lab demos to real enterprise tools. Over the last 12–18 months major vendors and startups released agent frameworks, integrations with CRMs and cloud data, and easy builder interfaces. Companies are already using agents

Quick summary AI “agents” — autonomous workflows built on large language and multimodal models — are finally starting to move out of pilots and into day-to-day business work. Improvements in model reliability, agent frameworks (think AutoGPT/LangChain-style orchestrators), and easier integrations with CRMs, ERPs, and reporting tools mean companies can automate complex tasks that used to

Quick summary AI agents — autonomous software that can complete tasks, make decisions, and talk to other systems — moved out of labs and into real business use in 2024. Companies are using agents to qualify leads, automate routine customer replies, generate weekly reports, and trigger follow-up actions in CRMs and ERP systems. The result:

Summary AI agents — software that can act on behalf of people by reading data, calling tools, and making decisions — are moving from pilots into real business use. Instead of only suggesting next steps, modern agents can pull CRM records, qualify leads, schedule meetings, generate monthly revenue reports, and trigger follow-up workflows automatically. They