Ron Mitchell

Summary AI agents — autonomous software that can take multi-step actions (research, update systems, draft messages, run reports) — moved quickly from demos to real business use in 2024. Companies are no longer just experimenting; they’re integrating agents into everyday processes like sales outreach, financial reporting, customer triage, and routine approvals. Why this matters for […]

Quick summary AI “agents” — autonomous workflows that combine large language models, data connectors, and automation — have crossed from experiments into real business use. Instead of one-off chat interfaces, today’s agents can pull CRM records, run vendor checks, generate reports, schedule meetings, and even follow up with customers across channels. Why it matters for

Quick summary AI agents — small, goal‑directed AI assistants that connect to your apps and act on behalf of users — are moving from tech demos into real business workflows. Companies are using low‑code/no‑code builders and prebuilt connectors to let sales, ops, and finance teams create agents that qualify leads, generate reports, automate follow‑ups, and

Quick hook AI agents — autonomous, task-focused AI that can act on your behalf — are moving from demos into real business use. Sales teams, operations groups, and finance leaders are starting to deploy agents to automate workflows, pull and summarize data, and generate reports without waiting on IT. What’s happening (short summary) Over the

Quick summary AI agents — small, goal-directed AI programs that can take actions on your behalf — are moving from tech demos into real business use. Companies are using agents to draft outreach, update CRMs, generate sales reports, and automate routine ops tasks. The lift isn’t just hype: when agents are connected to your systems

Quick summary There’s been a clear shift in 2024: AI is moving from single-shot tools to persistent, autonomous “agents” that can carry out multi-step tasks without constant human prompting. Think of agents that research prospects, draft personalized outreach and log results to your CRM — or agents that pull data, generate executive reports, and distribute

Summary A new wave of AI agents — systems that can read your data, take actions across apps, and carry out multi-step workflows — is moving from labs into the boardroom. Major vendors and toolmakers now offer agent builders and secure connectors that let these agents access CRMs, calendars, ticketing systems, and reporting engines. That

Quick summary – What’s new: In 2024–25 the market shifted from “LLMs as chat” to goal-driven AI agents — systems that take actions across apps (CRM, email, calendars, BI tools) instead of only answering questions. – Why it matters for businesses: Agents let teams automate repetitive work (prospecting, follow-ups, invoicing), produce faster, more accurate reports,

What’s new OpenAI and other vendors made it easy in 2024 for companies to build custom AI agents—sometimes called “GPTs” or enterprise agents—that connect to your data, tools, and workflows. These agents can answer questions about internal documents, generate sales outreach, produce automated reports, and trigger simple actions in CRMs or ticketing systems. Why this

Quick summary Over the last 12–18 months the AI market shifted from “general-purpose LLMs” to practical, task-focused AI agents. Businesses can now assemble lightweight agents that combine a company’s documents, CRM data, and automation tools with a foundation model. These agents use retrieval-augmented generation (RAG) and connectors to answer questions, draft outreach, automate workflows, and