Basis had the pleasure of guesting on last week’s GenAI Live stream on August 13th, 2025.

Our Founder & CEO, Joshua Corb, and VP of Business Development & Partnerships, Landon Mesereve, spoke with hosts, Brian Terry and Dalien Ahiekpor, and shared insights on how customers are using AWS-native GenAI solutions.

From early experiments to production-scale deployments on Amazon Bedrock, to migration challenges, and customer trends, Josh and Landon showcased how the team at Basis is helping customers navigate their GenAI journey. 

The two also unveiled our new Bedrock Assessment and Migration (BAM) tool, which will be released on AWS Marketplace in the coming weeks, and free for everyone to use.

For those who weren’t able to tune into the episode of AWS GenAI Live, here is a quick recap of everything that Josh and Landon talked about.

Where Customers Are on Their GenAI Journey

During the live stream, Josh and Landon explained that most customers fall into one of two categories:

1. Just getting started on their GenAI journey: customers are experimenting with OpenAI or Anthropic models and are looking to transform proof-of-concepts into production-ready solutions.
2. Ready to migrate: customers already have workloads running on third-party platforms and need to move them over to a secure AWS environment for compliance, scalability, and performance.

According to Josh, this is where Amazon Bedrock plays a central role. Its security guardrails and flexibility to switch between models make it a strong foundation for enterprise-grade GenAI adoption.

Real-World Use Cases

Josh and Landon also discussed some examples of real customer use cases and successes in adopting GenAI solutions, including: 

• Intelligent Document Processing (IDP): Going beyond simple text parsing and combining traditional models with LLM reasoning to handle complex documents for our client OneLine Health.
• Luxury Goods Product Authentication: Leveraging SageMaker and Bedrock to accurately identify luxury watches by combining structured data with LLM-driven contextual reasoning for our client Reklaim.

Introducing BAM: Bedrock Assessment and Migration Tool

The highlight of the episode was a sneak peek of our new Bedrock Assessment and Migration Tool (BAM), which is designed to simplify and accelerate migrations to AWS Bedrock.

Traditionally, assessments can take 4–5 weeks. But with BAM, we’re aiming to cut that down to 2–3 weeks – even minutes for smaller workloads. 

Here’s how BAM accelerates the migration process:

1. Scans Repository: Connects with GitHub, GitLab, or Bitbucket to analyze codebases for LLM usage.
2. Analyzes Complexity: Flags frameworks, prompts, and model calls, then recommends migration steps.
3. Evaluates Models: Allows side-by-side benchmarking of Bedrock models with speed, cost, and quality metrics, even identifying hallucinations.
4. Provides Actionable Insights: Shows exactly where in your stack LLM calls are happening, reducing guesswork.

We’re preparing for a soft launch of BAM in the coming weeks. It will be available and free for anyone to use on AWS Marketplace, with both hosted and self-service deployment options.

Future plans include batch processing capabilities, scaling from chatbot experiments to massive workloads like processing thousands of documents at once. This evolution ensures BAM grows with customer needs as Bedrock continues to expand.

Stay tuned for the official BAM launch, coming soon to AWS Marketplace.

Building Partnerships Around GenAI

Our AWS partnership has grown rapidly in just two years, and tools like BAM reflect our shared commitment to customer success. Beyond technology, we’re also investing in GenAI-focused workshops and events. This will give opportunities for customers to connect with the Basis team, meet AWS GenAI leaders, and explore solutions in a hands-on and engaging way.

Watch the full episode of Josh and Landon on GenAI Live here (5:23 to 31:11).