Ron Mitchell

Summary AI “agents” — autonomous workflows that use large language models to research, decide, and act across tools — went from curiosities to real pilots in 2023–2024. Faster, cheaper models plus orchestration tools (think LangChain/AutoGen-style frameworks) let companies build agents for tasks like lead research, first-pass customer support, and automated reporting. Why this matters for […]

Quick summary AI agents—autonomous workflows powered by large models plus connected data—are moving from experiment to everyday business use. Instead of a human doing many small tasks, an AI agent can research a lead, draft a personalized outreach, update the CRM, and generate a follow-up action list. The result: faster decisions, fewer manual touchpoints, and

Summary Major vendors and startups are pushing AI agents and “copilot” platforms into business workflows — low-code tools that let companies build custom, autonomous assistants that can read your CRM, pull up reports, draft outreach, schedule meetings, and trigger automations. Improvements in retrieval (RAG), fine-tuning, and safety controls mean these agents are far more reliable

Quick summary AI agents—small, goal-driven AI programs that can act on your behalf—are no longer just experiments. Over the last year many companies have begun using them in real sales and operations workflows: qualifying leads, drafting personalized outreach, booking meetings, and generating automated performance reports. These agents combine large language models with connectors to CRMs,

Quick summary – A new wave of AI “agents” — autonomous workflows that combine large language models, connectors, and business rules — is making it practical for companies to automate complex tasks end-to-end. – Instead of a human doing step A, B, and C, an AI agent can research a lead, draft a personalized outreach,

Snapshot AI “agents” — autonomous AI that can act across apps, pull data, and take actions — have moved from experiments to real business pilots. Over the last year we’ve seen more vendors and platforms enable agents that connect to CRMs, calendars, messaging platforms, and reporting tools so they can do more than answer questions:

Quick summary – The big trend right now: AI agents — purpose-built, often low-code virtual workers that can read systems, take actions, and handle multi-step tasks. Major vendors and startups are rolling out agent-building tools and connectors to CRMs, ERPs, email, and reporting systems. – Businesses are moving from experimenting with chatbots to deploying agents

Quick summary Autonomous AI agents—software that can take actions, follow workflows, and talk to systems on behalf of people—are now being embedded into sales, operations, and reporting tools across industries. Where last year many companies ran isolated pilots, 2024–25 has seen vendors and in-house teams put agents into production for lead qualification, automated outreach, report

Short summary AI “agents” — models that can act autonomously, use tools, and connect to systems — have stopped being a research novelty and are showing up in real business pilots. Major AI platforms now support agent frameworks and multimodal models that can read documents, query databases, schedule meetings, and even generate and deliver recurring

Short summary AI agents — software that can plan, act, and complete multi-step tasks with little human oversight — are no longer just a research demo. Over the past year we’ve seen more off-the-shelf agent frameworks, low-code builders, and integrations into CRMs and productivity suites. That means teams can automate complex workflows (lead qualification, meeting