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AI pilots are not the story anymore. The real story is who can turn AI into everyday, reliable work. Here at AWS re:Invent, I had the chance to sit down with Arvind Jain, Founder and CEO of Glean, for a conversation I have wanted to do for a long time!!!!

Watch the complete Interview

AWS has also shared three key pages that are worth a close look. You can use these as a starting point to explore what is now possible.

1. Marketplace feature launch: discovery to deployment

Marketplace Feature Launch Blog:

This blog explains how AWS Marketplace is being tuned for the AI era:

• Smarter discovery, including AI driven search

• More solution based offers, not just single products

• Faster private offers and smoother deployment paths

For teams, this means less time on contracts and glue work, and more time getting agents into real workflows.

2. AI agents and tools catalog

AI Agents and Tools on AWS Marketplace:

This page is a focused catalog for AI agents and tools. It groups offerings into:

• Software that already has agents embedded

• Pre built AI agents you can adopt quickly

• Agent tools like context, knowledge bases, and guardrails

• Agent development and infrastructure solutions

• Professional services for strategy and rollout

Instead of hunting across dozens of pages, you have a single place to:

• Browse agent solutions

• Compare types of offerings

• Filter by use case and delivery method

• Keep discovery, purchase, and deployment inside your AWS environment

3. Agentic AI Competency blog

Agentic AI Competency Blog:
This blog introduces the new Agentic AI categories and lists the 60 partners that have met the bar. It also explains how this work connects to AWS services designed to run agents at scale in production.

Read this to understand:

• Which partners AWS has already validated for serious agent workloads

• How AWS is thinking about responsible, governed agent systems

• Where to start if you want to stay close to AWS native patterns

A simple 12 month playbook

If you put all of this together, you get a clear way to plan your next 12 months with agents on AWS:

1. Use off the shelf agent applications for quick wins
   Start with validated applications from the competency list and the AI agents and tools page for use cases like support, analytics, sales operations, or coding help. You do not need to start from zero for every problem.

2. Use validated tools when you need flexibility
   When you have custom data, strong security needs, or deep integration requirements, pick tools from the AI agents and tools catalog and from among the Agentic AI partners. You keep control, but you are not rebuilding the foundation yourself.

3. Use consulting partners for core or regulated systems
   Once you touch core systems or regulated data, involve consulting partners that have passed the Agentic AI competency bar. They have already dealt with governance, monitoring, and failure modes in real projects.

This is how you move from isolated demos to a portfolio of agent systems that people inside the business can actually trust.

These 60 partners are an early signal of who is already on that path.

What I will be watching at re:Invent

As I walk the floor and talk to these partners, I will be looking at:

• How they are using the new Marketplace features in real customer deals

• What kinds of agent use cases are live in production today

• How customers are balancing off the shelf applications, tools, and consulting help

I will share more conversations and concrete examples as the week goes on.

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Best,

Ravit Jain

Founder & Host of The Ravit Show