Ron Mitchell

Quick summary Major AI vendors have pushed “agent-style” tools into the mainstream — think customizable virtual assistants that can run workflows, pull data from your systems, and draft reports without constant human prompts. These tools are no longer experimental: they’re being embedded into CRM, BI, and productivity suites so businesses can automate routine work end-to-end. […]

Quick summary A new wave of commercial AI agents and orchestration platforms is making it realistic for businesses to automate whole processes, not just single tasks. These agents can gather data from multiple systems, run analyses, update CRMs, generate reports, and even trigger follow-up actions — with humans supervising exceptions. Improved retrieval (RAG), tool use,

Big idea A growing wave of enterprise-ready AI agents can now connect to your CRM, ERP, email, and BI systems and do work — not just suggest it. That means AI that can draft outreach, update records, pull and summarize sales performance, and even trigger follow-up workflows automatically. For leaders, this is the move from

Story summary AI agents — autonomous, task-focused software that can read systems, take actions, and learn over time — are no longer just a tech demo. Over the last year many companies have moved agents out of R&D and into day-to-day operations. Examples you’ll see in the wild: agents that qualify leads in your CRM,

Short summary A new wave of enterprise-ready AI agents is moving beyond demos into real business use. These aren’t just chatbots — they’re autonomous or semi-autonomous systems that combine large language models, data connectors, and business rules to perform tasks like pulling sales reports, qualifying leads, drafting outreach, or automating approvals. Vendors and in‑house teams

Why this matters now AI agents — software that can act on your behalf, talk to systems, and complete tasks — are finally escaping the lab and showing real business value. Over the past year more companies have put agents into production to handle sales outreach, triage customer requests, generate recurring reports, and automate routine

Summary Over the past year, AI agents — purpose-built systems that connect language models to your internal data and tools — have moved from experiments into real business processes. New tooling (vector databases, secure connectors, and orchestration frameworks) makes it much easier to build agents that can pull CRM data, generate consolidated reports, and trigger

Story summary A rising number of companies are deploying autonomous AI agents — software that can take multiple steps on its own (find leads, send outreach, book meetings, update records, generate reports) — to automate sales workflows and real-time reporting. These agents combine LLMs, business rules, and integrations with CRMs, calendars, and analytics tools to

Quick story – Over the last year, autonomous AI agents — systems that can read your apps, take actions, and follow multi-step instructions — have moved from prototypes into real business use. – Large platforms added built-in agent features and many startups shipped purpose-built agents for sales outreach, scheduling, and automated reporting. – The result:

Quick summary AI “agents” — autonomous AI programs that can read your CRM, send emails, book meetings, and generate reports — are moving out of labs and into everyday business workflows. Companies are using them to qualify leads, automate follow-ups, create near-real-time sales reporting, and free reps from repetitive tasks. The result: faster response times,