Amazon Quick Suite might surprise you in 2026

Dr. Ryan Ries here. I can’t believe I’m writing the last Mission Matrix of 2025. Thank you for tuning in this year. It seriously means a lot to me when I’m at events or when you all reply back to my newsletter with your thoughts on Matrix. Building this newsletter has helped me build new relationships and connect with you all, and I’m very thankful for that.

Now, enough of my sappiness. I want to discuss something that I believe can transform how teams operate next year. A lot of people are still sleeping on it.

Quick Suite is different.

I spent a lot of time at AWS re:Invent talking about Amazon Quick Suite and even sat on a partner panel about it. I learned a lot of new information about Quick Suite and I also want to highlight what I think people might be missing about this service.

Let me show you what I mean.

The Research Breakthrough

Remember when research meant bouncing between systems, copying data into spreadsheets, waiting on analysts? Quick Suite's research capability changes that completely.

You ask a business question. The system pulls from your databases, your documents, your knowledge bases. It traces every insight back to source material so you can verify the work.

Imagine a team that could automate their account planning process. What might take analysts three days could run overnight while maintaining research quality because they could review the sourcing and methodology.

Quick Flows

Continuing this same hypothetical scenario, this team could integrate this research step into automated workflows using Quick Flows. 

Set triggers, define the analysis you need, and route the results to whoever needs them. This could automate monthly report generation. Or schedule and deliver as analysis requests come up.

This addresses something that I think a lot of people have been trying to accomplish with AI. How do you scale expertise without hiring more experts? You capture the methodology in a workflow that anyone can trigger.

How Quick Suite is Different

Oftentimes, when Amazon releases a new tool or service people think, “Oh, this is Amazon’s version of… [insert hyperscaler service here].” 

Quick Suite isn't trying to be another BI tool or another chatbot. It's positioning itself as a unified workspace where you get answers and take action.

Your structured data from databases. Your unstructured data from documents and emails. Your business intelligence dashboards. Your automation workflows. All connected through an AI reasoning engine that can work across all of it.

Updates We Expect to See

The big thing I like to make sure I do in Matrix is not just give the “good”, but also the current limitations.

Several people on my team have been deep in the technical details of Quick Suite so I wanted to make sure to include their perspective on future updates.

The connector story for NoSQL databases is still getting up to speed. If you're running DynamoDB, DocumentDB, or OpenSearch, you'll feel that limitation. This may be a knowledge gap issue on my end, so if anyone has any insights, please reply, but prebuilt analysis controls for clustering, classification, and regression either don't exist or aren't obvious enough to find easily.

For embedding QuickSight reports, the experience could use some polishing, but I think this will likely be addressed. Custom CSS support would help teams match their brand standards.

By far, these aren't dealbreakers. They're the rough edges you'd expect from something evolving this fast. But as I said, I always like to give you my (and my team’s) honest opinions.

Why this matters now

I'm seeing a pattern across organizations I meet with. Teams are desperate for AI capabilities, but they're drowning in point solutions. A chatbot here, a BI tool there, an automation platform over there. Nothing talks to each other. Context gets lost between systems.

Quick Suite's bet is that integration is the most critical component of an AI solution. Getting 80% of what you need in one connected workspace beats having five tools that each do one thing perfectly but don't share context.

I think they're right.

Companies that figure this out early will have an advantage in 2026. Not because the AI is magic, but because they'll stop wasting time on integration work and start focusing on actual business problems.

What to do with this

If your team is struggling with:

• Research projects that take too long
• Analysis that doesn't scale across the organization
• Context that gets lost between tools
• Workflows that require too much manual work

Then Quick Suite deserves a serious look.

Start with a specific use case by thinking about your team’s serious pain points. Build it, test it, see if the integration value shows up in practice. If you want to chat through use cases or see what Quick Suite can do for your company, reply, and we can set up a time. 

Let me know what you think. 

Happy Holidays and Happy New Year to you!

Now, time for this week's AI-generated image and the prompt I used to create it.

Create an image of me as Santa Claus. I am working in my workshop in the North Pole, and I am building an AI model toy. Use my image as a reference to create me as Santa.