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Substrate

Substrate

SUBSTRATEINSIGHT

How AI Is Reshaping Enterprise Operations in 2026

A practical guide to embedding AI across your substrate journey.

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The change ships, on AWS.

Modernizations, AI deployments, data platforms. We engineer the work, on AWS.

Talk to Our AWS Team

What we deliver under AWS

A zeb engagement on AWS does not stop at recommendations or reference architectures. We take the work on running the engineering loop until the outcome ships.

Who deploys Substrate?How is Bedrock used as runtime?What does co-architected mean?How does Control Tower fit in?Who deploys Substrate?How is Bedrock used as runtime?What does co-architected mean?How does Control Tower fit in?Who deploys Substrate?How is Bedrock used as runtime?What does co-architected mean?How does Control Tower fit in?Who deploys Substrate?How is Bedrock used as runtime?What does co-architected mean?How does Control Tower fit in?
Which systems do you ingest?How fast can you ship outcomes?Is Well-Architected baked in?How do you handle multi-account?Which systems do you ingest?How fast can you ship outcomes?Is Well-Architected baked in?How do you handle multi-account?Which systems do you ingest?How fast can you ship outcomes?Is Well-Architected baked in?How do you handle multi-account?Which systems do you ingest?How fast can you ship outcomes?Is Well-Architected baked in?How do you handle multi-account?
Where does ECU pricing come in?Can you run inside our estate?What does the loop look like in production?How do you prove parity after migration?Where does ECU pricing come in?Can you run inside our estate?What does the loop look like in production?How do you prove parity after migration?Where does ECU pricing come in?Can you run inside our estate?What does the loop look like in production?How do you prove parity after migration?Where does ECU pricing come in?Can you run inside our estate?What does the loop look like in production?How do you prove parity after migration?

Substrate deployment

We deploy Substrate directly into the customer's AWS estate, ingest existing systems of record, and run engineering loops against them.

AWS-tuned delivery

Delivery posture tuned to AWS conventions by default Control Tower, Well-Architected, and Organizations baked into how we ship.

Bedrock as runtime

Bedrock is a first-class runtime for the AI work Substrate executes inside customer environments no learning curve on customer time.

Co-architected references

Reference architectures co-architected with AWS depth most consultancies cannot match because we arrive already inside the platform.

Substrate solutions on AWS

Pre-packaged Substrate solutions on AWS

Pre-scoped AWS engagements, priced in ECUs and built around defined use cases these are the most common starting points for our customers.

AWS Modernization Engine.

Modernize legacy or early cloud environments into AWS-native architecture using Substrate to interpret the existing system, design the target state, and execute migration with continuous parity validation.

Bedrock-Native AI Delivery.

Launch production AI on Amazon Bedrock covering apps, retrieval, and agents with built-in engineering, evaluation, and governance for safe operation, plus pre-wired cross-provider governance.

Well-Architected as Continuous Engineering.

Convert the Well-Architected pillars from a review artifact into a continuous engineering workload. Findings are shipped as fixes, not filed as recommendations.

AWS FinOps Engineering Program.

Cost engineering as a sustained Substrate workload not a one-time review. Cost stories enter the backlog like any other engineering work, get scoped, and ship.

Landing Zone & Multi-Account Evolution.

Refactor Control Tower and Organizations posture as the customer's footprint grows.

Data Platform on AWS.

Build the customer's data platform on AWS-native primitives Redshift, Glue, Lake Formation, S3 with schema, lineage, and contract awareness from day one.

What changes for the customer

The AWS work is stuck.We take the work itself.

  • 01

    The team is buried

    Roadmap stacked. AWS work keeps slipping a quarter at a time.

  • 02

    Platform expertise is thin

    Not enough hands who know the AWS-side primitives in depth.

  • 03

    Existing partner ships decks

    Statements of work, not pull requests. Diagrams, not deployments.

Outcome guarantee

The work we're hired to ship, ships.

The same guarantee that applies anywhere else applies here. The AWS-side advantage: everything underneath is already in the shape Substrate expects.

AWS work, from backlog to shipped.

Let's build something that lasts. Our team is ready to talk.

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