Ron Mitchell

Summary Major AI vendors and a wave of startups have moved AI agents from demos into production-ready tools. These agents combine large language models, retrieval (vector) databases, and connectors to CRMs, ticketing systems, and spreadsheets. That means you can now run autonomous assistants that draft emails, pull and summarize sales/financial data, create repeatable reports, and […]

There’s a clear wave happening: autonomous AI agents — tools that can plan, gather data, run actions, and report back — are moving from demos into everyday business workflows. They’re not just for engineers anymore; operations, sales, and finance teams are starting to use agents to cut admin work and speed decisions. What happened (short

Quick story Over the past year major vendors and startups have moved from “assistants” to task-doers: AI agents that can access your data, run workflows, and take multistep actions (create outreach, update CRM records, generate reports). At the same time, business intelligence tools are folding in generative reporting — natural‑language explanations, automated dashboards, and anomaly

Quick summary AI agents — software that can act autonomously on your behalf by reading documents, interacting with apps (CRM, calendar, email), and taking multi-step actions — moved in 2024 from proof-of-concept to real-world business use. Big vendors (Microsoft, Salesforce, Google) embedded agent-like copilots in their suites, and a wave of startups built specialized agents

Quick story AI “agents” — small, task-focused AI systems that can read your data, take actions in apps, and follow multi-step workflows — have moved from demos into real business use. Major vendors and startups now offer toolkits and connectors that let these agents access CRMs, inboxes, calendar systems, and analytics tools so they can

Short summary AI “agents” — software that can plan, act, and chain tasks on its own — have moved from demos to real business pilots. These agents combine large language models, connectors to your data (CRMs, ERPs, dashboards), and orchestration layers that let one agent trigger another. The result: a single automated workflow can handle

Quick summary AI agents — software that can act autonomously on your behalf (research leads, draft outreach, update CRM, generate reports) — moved from lab demos into real business tools in 2023–2024. Big vendors like Salesforce (Einstein GPT) and Microsoft (Copilot in Dynamics/Office) pushed generative AI directly into sales and reporting workflows. The result: teams

Summary AI “agents” — AI systems that act autonomously to complete tasks, make decisions, and interact with other tools — are moving fast from R&D labs into real business use. Vendors now offer no-code agent builders, integrations with CRMs and ERPs, and prebuilt connectors for email, calendar, and reporting tools. That makes it easier for

Quick summary AI “agents” — small, goal-driven systems that can plan, fetch data, act in apps, and report results — have moved from research demos into real business pilots. Companies are using agents for tasks like automated sales outreach, multi-source reporting, customer triage, and routine operational decisions. Those early wins are showing meaningful time savings,

Quick summary AI agents — small, goal-driven systems that combine language models, tools, and company data — are moving from experiments into everyday business use. Advances like private LLM hosting, vector databases (for fast, accurate knowledge lookup), and safer orchestration tools mean agents can automate tasks such as lead research, pipeline updates, recurring reports, and