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Artificial Intelligence

How to Build AI Workflows Over Your Data

Some things don’t really “click” until you see them in action. You hear people talking about some new technology, trend, or tool. But you don’t really “get it” until you see it.

That’s how data-driven AI workflows were for me.

I’d heard the AI hype. Then I saw an AI assistant working over live business data. My wheels started spinning. It opened up so many possibilities. 

Then I saw that AI assistant added to a workflow. Data was passed to the assistant, which then made a decision…and led to another workflow step, which could then lead to another assistant and so on.

That’s when it really clicked. You can do anything with this.

In this article, I’ll explain more about AI workflows and why they’re so important to businesses. What are they? How do they work? Why should you care?

Also, we’ve included a video that walks through the whole process of creating an AI workflow from start to finish. After all, some things don’t really “click” until you see them in action.

m-Power’s AI Update: Bring AI to Your Data, Applications, and Workflows

Over the last year or so, we’ve focused on one big goal: Bring AI to your business data, applications, and workflows…on your terms.

We’ve just released a new m-Power update that makes this goal a reality. m-Power now lets you build:

  • AI Assistants that understand your data and your rules
  • AI Workflows that automate multi-step processes
  • AI-powered Chatbots that live inside your applications and provide assistance using live data and company documents
  • AI Content Retrievers that turn documents and knowledge bases into live, searchable AI knowledge
  • AI Tool Functions that connect AI directly to your applications and live business data
  • AI Agents that can coordinate tasks, call tools, and move work forward within your rules

All of this runs over the systems you already use, with IT in control of data access, security, and deployment.

Coming soon: AI that understands your business

Can you believe that ChatGPT isn’t even 3 years old?

Yet, AI is everywhere now. Since ChatGPT burst onto the scene, AI adoption exploded. It’s in everything now, from physical products to business software.

We’ve been following AI’s evolution closely, asking two questions on repeat: How do we bring AI to your business data, applications, and workflow? How do we make it useful in your environment, under your rules?

Over the last few years, we’ve noticed something. Many of the “AI features” added to business software stop at a chat interface. Sure, it’s handy for quick answers. Less helpful when you need to advance a workflow, act on a record, respect role based security, or perform tasks autonomously. 

You need AI that understands your data, calls the right systems, and fits the way your team already builds.

That is the bar we set. Bring AI to the business. Plug it into your applications and workflows. Keep IT in control. Deliver value on day one.

The good news: It’s almost here.

Coming soon to m-Power.

Stay tuned.