Hey Meraki Community!
We're excited to share early access to AI Config Recommendations, a proactive optimization engine that takes the guesswork out of modernizing your wireless infrastructure.
The Challenge You All Face
We hear from customers how they’re often being forced to run older WLAN configurations because they don’t want to impact business continuity for legacy devices.
You know your network could perform better. You want to enable WPA3, leverage that shiny new 6GHz spectrum, or optimize your RF profiles. But without clear visibility into your actual client mix, you're stuck choosing between innovation and stability.
Enter: AI Config Recommendations
Think of this as your network's personal performance coach that continually assesses network and client readiness to provide data-backed configuration changes that maximize hardware performance and security.
What Makes This Different?
🎯 Client-Centric Readiness Assessment
No more guessing games. AI Config Recommendations analyzes your actual client ecosystem to give you a real readiness percentage. Want to know if you can safely migrate to WPA3 or enable 802.11r? You'll get data-backed answers like "87% of your clients support this feature".
📊 Predictive "Before-and-After" Modeling
Here's where it gets cool: before you commit to any change, you'll see the predicted impact on your KPIs – RF Score improvements, Co-channel Interference reduction, roaming latency changes, and more.
⚡ Contextual Configuration Drawers
Recommendations appear directly within your workflow – the path you will take is Assurance > Alerts > Optimization. No context-switching, no hunting through dashboards. The intelligence comes to you.
🔧 Automated RF Profile Optimization
The engine continuously monitors your RF environment to support Flexible Radio Assignment or fast roaming capabilities. This can be scaled up to 5,000 APs per network. Plus it will soon suggest optimal Channel Lists, Channel Widths, and transmit power adjustments tailored to your specific regulatory domain and client behavior.
Example Use Case
Picture this: You're managing wireless for a large university campus. Students are bringing in Wi-Fi 6E devices, but you're hesitant to enable 6GHz because you're not sure about compatibility with older IoT sensors and faculty laptops.
AI Config Recommendations analyzes your network and reports: "92% of active clients are 6GHz-ready, with a predicted 80% data rate increase on the 6GHz band."
You review the before-and-after visualization, see minimal impact to the legacy devices (which can stay on 2.4/5GHz), and click "Accept Recommendation." Your RF Profiles update across the selected SSIDs in one click. Done. 🎓✨
The Bottom Line
This isn't just about pretty dashboards or vague "best practices." It's about:
- Confidence to modernize your security and performance settings
- Time savings from eliminating manual audits and guesswork
- Risk reduction by quantifying impact before making changes
- Getting full value from your hardware investment
Whether you're managing distributed campuses, large-scale enterprise deployments, or complex multi-tenant environments, AI Config Recommendations meets you where you are and helps you get where you want to go.
Want to dive deeper? Drop your questions below – we have our team including, Product Manager, @HelenEwing available to hear about your specific use cases and how you're thinking about network modernization in 2026.
Share your experience! Once you get this going tell us what recommendations surprised you? What changes did you confidently make that you were hesitant about before?
