RTN ONLINE COMMUNITY

Join Us. You'll Be In Good Company.

RTN offers a dynamic online community with a variety of meeting formats.

Members can experience everything from inspiration, to collaboration, to standards development.

Check out the formats below -- there's something for everyone! 

Workgroups are hyper-focused, technical collaborations where technology suppliers work together to develop tangible outcomes such as data standards, frameworks, and best practices. Restaurants provide strategic guidance while tech suppliers deliver expertise. 

Participation is flexible — join anytime and contribute as much or as little as you like. Leading or contributing to a workgroup provides visibility as a thought leader in the industry, often leading to speaking opportunities at events like MURTEC.

Frequency: Twice per month
Length: 1 hour

In RTN Town Halls restaurants and technology suppliers come together monthly for an unscripted conversation on some of the hottest topics in the industry.

On the mic: A pre-selected panel of restaurants ask their pressing questions while suppliers step in with insights and solutions.

You are invited to listen in, learn, ask questions and contribute in a collaborative space.

Frequency: Every month
Length: 1 hour

Who can participate?  All meetings are open to RTN members. We encourage a friendly, welcoming space where everyone’s contributions are valued.

Interested in speaking at an upcoming Town Hall? Submit your areas of interest and expertise here!

Not a member?  Talk to us about a guest pass to explore an upcoming meeting and see if RTN membership is right for you.

Email: info@restauranttechnologynetwork.com

RTN Meeting Calendar

See What's Upcoming and Register!

The Vibe: No Slides. Just Real Talk.

Wednesday

June 24th, 2026

12 PM ET


TOPIC:

To Be Announced

Meets Every Other 

Thursday at 1 PM ET

Lead By: Skip Kimpel | skimpel@ensembleiq.com

Frequency: Twice per month

Length: 1 hour

Data Standardization & Governance 2.0 Workgroup
featuring a dedicated AI Governance Cohort

Because You can't build anything great on a bad foundation. 

Every AI initiative, every analytics project, every digital transformation effort your brand is planning right now — it all runs on data. And if that data is messy, inconsistent, or ungoverned, none of it will perform the way you need it to. 

Data standardization and governance is not glamorous. It does not make headlines the way a new AI feature does. But it is the building block for everything else — and the longer you wait to address it, the more expensive and painful it becomes. 

This workgroup is for operators who are ready to stop treating data governance as an IT problem and start treating it as a business strategy. We will tackle the hard questions: How do you build a governance framework that scales? How do you move fast with AI without creating risk? How do you get the CEO and board aligned without letting quick-win thinking derail long-term progress? 

Don't chase perfection on the way to good. You have to start somewhere — and this is the place to start. 

Join us. Let's lay the foundation the entire industry can build on.

Meets Every Other Tuesday at 1 PM ET

Lead By: Skip Kimpel | skimpel@ensembleiq.com

Frequency: Twice per month

Length: 1 hour

AI Workforce & Compliance Workgroup

Your AI scheduling tool might be making decisions you can't legally defend. 

Agentic AI is here. It is already being used to schedule shifts, optimize labor, and make workforce decisions at scale across the restaurant industry. And most organizations have no idea whether those models are discriminating — or how they would prove it if challenged. 

This is not a hypothetical risk. It is a cost, legal, and compliance exposure that grows every day these models run without governance frameworks around them. The question is not whether AI will reshape restaurant workforce management. It already is. The question is: how do we manage these models responsibly? 

This workgroup brings together the people who need to answer that question: HR leaders who understand employment law and workforce equity, Legal teams who understand the liability landscape, Technology teams who build and deploy these systems, and AI governance experts who can help the industry build the right guardrails. Together, we will define the standards and practices that let the industry benefit from agentic AI without the legal and ethical landmines. 

Because the cost of getting this wrong — in lawsuits, in fines, in reputational damage, in harm to workers — is far greater than the cost of getting it right.