ONLC Training is launching a free, four-part webinar series starting August 4, 2026, designed to help professionals move beyond AI experimentation and start delegating real work to intelligent agents. The live sessions will cover Microsoft Copilot Cowork, OpenAI’s ChatGPT Work, Claude Skills, and a faster path to Microsoft certification—all without cost, though registration is limited.

A Free Crash Course in AI Delegation

The series kicks off in August with four one-hour, instructor-led sessions, each running from noon to 1:00 p.m. Eastern Time. No prior AI or Microsoft experience is required, and capacity is capped—a sign that ONLC expects strong interest from business and IT professionals hungry for practical, no-cost guidance.

The lineup reflects a broader shift in enterprise AI: from poking at a chatbot to assigning an agent multi-step tasks that span documents, email, meetings, and data stores. Here’s the schedule at a glance:

  • August 4: Microsoft Express: The New Two-Day Path to Certification — A faster, live training format that bridges self-paced Microsoft Learn study and traditional multi-day certification courses, covering AI, security, and data topics.
  • August 11: Microsoft Copilot Cowork: Get More Done by Delegating Real Work — How to use Microsoft’s agentic experience inside Outlook, Teams, Word, Excel, and more to plan and complete complex assignments with human approval checkpoints.
  • September 2: Building Custom Claude Skills: Bottle Your Best Process and Scale It Across Your Team — Turning repeatable workflows into reusable, code-free Claude Skills that capture institutional knowledge and drive consistency.
  • September 24: ChatGPT Work: OpenAI’s New Agent That Gets the Job Done — Leveraging ChatGPT’s goal-driven agent to produce finished deliverables—spreadsheets, presentations, documents—while learning Plan mode and oversight best practices.

Each session stands alone, but together they offer a rare opportunity to compare competing approaches to agentic AI under one umbrella, without vendor hype.

What These Tools Mean for Windows and Microsoft 365 Users

If you spend your days inside Microsoft 365, the August 11 session on Copilot Cowork is essential viewing. Cowork isn’t just a smarter chatbot; it’s a delegate that can prepare meeting briefs from scattered emails and files, draft project updates, organize inboxes, and even schedule meetings—as long as you approve the final steps. The webinar will show exactly where those human checkpoints sit, which is critical for avoiding embarrassing or risky slip-ups.

For IT administrators and governance teams, the takeaways are even more urgent. Copilot Cowork reads from the same SharePoint libraries, Teams channels, and OneDrive folders your staff uses every day. If those repositories are messy—permissions too loose, sensitivity labels missing, or obsolete files cluttering search results—the AI will amplify that chaos at machine speed. ONLC’s session is likely to drive home the point that AI agents don’t fix broken information architecture; they expose it. That means now is the time to audit your environment:

  • Tighten access controls so agents can’t overreach.
  • Apply consistent sensitivity labels and retention policies.
  • Clean up orphaned or outdated documents that could mislead an AI.
  • Plan connector governance before linking external data sources.

Windows power users and early adopters, meanwhile, will want to watch the ChatGPT Work and Claude Skills sessions. ChatGPT Work shifts the paradigm from reactive chats to proactive plan-and-execute workflows, where you state an outcome and the agent gathers context, structures a plan, and produces polished deliverables. The September 24 demo will highlight Plan mode—a critical feature that forces the AI to pause and get your sign-off before barreling ahead with assumptions. For anyone who’s been burned by an overconfident chatbot, that’s a welcome safeguard.

Claude Skills, covered on September 2, addresses a different but equally painful problem: tribal knowledge. How do you bottle the way your best analyst prepares a weekly ops report, or the steps your finance lead follows to reconcile forecasts? Skills let you codify those processes in reusable packages that any team member can deploy. The promise is consistency, but the hidden risk is about scaling errors: a flawed Skill will spread bad advice just as efficiently as good. That means internal review and version control are mandatory, not optional. The webinar will show how to create a Skill for a real task, but attendees should come prepared to think critically about lifecycle management.

Business decision-makers get the broadest payoff. The entire series amounts to a low-risk, high-signal evaluation of three major AI platforms—Microsoft, OpenAI, and Anthropic—plus a fast-track certification option that can upskill teams quickly. You can safely ignore the AI tool du jour and focus on the core question: which of these agents aligns with the files, apps, and processes your people already use?

From Chatbot to Coworker: The Path to Agentic AI

How did we get here? For the past two years, generative AI has been dominated by the prompt-and-response model: type a question, get an answer. But as models grew more capable, the ceiling of a simple chat window became obvious. Knowledge work rarely starts from a blank prompt; it starts with scattered information—emails, spreadsheets, meeting notes, draft documents, calendar entries—that a human has to corral manually.

In 2026, the shift toward agentic AI went mainstream. Microsoft introduced Copilot Cowork as a native extension of its 365 ecosystem, letting users delegate entire sequences of work across Outlook, Teams, Word, Excel, and PowerPoint. OpenAI launched ChatGPT Work with a planning engine and output-oriented workflows. Anthropic’s Claude gained “Skills,” a structured way to embed domain expertise directly into the model’s behavior. Meanwhile, enterprise adoption accelerated, but many organizations are still stuck in pilot purgatory—impressed by demos, unsure how to operationalize.

ONLC’s series arrives at this inflection point. It’s not the first AI training program, but it’s one of the first to explicitly focus on delegation and governance rather than prompt engineering tricks. And because it’s free and vendor-neutral in scope, it lowers the barrier for skeptical teams to kick the tires before committing budget, sensitive data, or operational responsibility to an AI platform.

Register Now and Plan Your Pilot

Space is limited for each session, so register early at ONLC’s webinar page. While you’re at it, line up a few specific questions based on your role:

  • M365 admins: Ask about audit logging for agent actions, conditional access policies, and how sensitivity labels propagate when an AI combines multiple documents.
  • Business managers: Identify one repetitive, high-volume workflow—weekly reporting, meeting prep, sales research—and map out what success looks like if an agent takes over the grunt work.
  • Developers and analysts: Pay attention to the distinction between “no-code” Skills and the underlying logic. Could you backup a Claude Skill in a plain-text spec, or are you locked into a proprietary format?
  • Certification seekers: Clarify whether Microsoft Express is recognized for official exam prep, and what self-study remains after the two-day course.

After the webinars, don’t try to boil the ocean. Pick a single pilot project, define clear boundaries, assign a human approver, and measure both time savings and error rates. The organizations that succeed with AI agents won’t be the first to adopt—they’ll be the ones that pair capable tools with disciplined processes.

Agents Are Coming—Training Is Your First Defense

The next six months will see more businesses attempt to turn AI assistants into AI coworkers. ONLC’s free series gives you a head start by offering a realistic, side-by-side view of the three leading approaches—and a crash course in the governance that makes the difference between a productivity win and a compliance disaster. Sign up, tune in, and come ready to ask the hard questions. The hype cycle is ending; the work is about to begin.