Data and AI on AWS
We want AI on AWS, but our data isn't ready.
For CDO, CIO, chief AI officer, head of data
AI projects on AWS usually stall on data and security approval, not on the model. We start from one or two use cases with a measurable KPI, check whether the data and controls are ready, then build a governed data layer on AWS and one production AI use case on Amazon Bedrock with guardrails and cost controls. The result is AI built on data the business trusts, and a reusable foundation for the next use case. This offering is for organizations that have chosen AWS for data or AI.
How we work
What we do
Open a step to see what happens and what you receive.
Assess
Fixed fee.
- Shortlist one or two use cases with a measurable KPI
- Check data sources, quality and access
- Security readiness for Amazon Bedrock
You receive: a use-case value case, a data readiness scorecard and a fixed-price build proposal.
Confirmed at scoping.
Build
Fixed scope with milestones.
- Amazon S3 data lake with AWS Glue pipelines
- AWS Lake Formation access controls
- Amazon Redshift or Athena analytics
- One production pilot on Amazon Bedrock with guardrails and cost controls
You receive: a working data layer, a production AI pilot, and access and lineage documentation.
Confirmed at scoping.
Run
Optional. If you want us to, we can keep this going monthly for as long as you need it.
- Pipeline monitoring and data quality alerts
- Model and prompt updates
- AI usage cost reporting
You receive: a monthly data quality and AI usage report.
Services included: Data Platform Foundation, Generative AI Readiness and Pilot.
Want to know what this would look like for you?About 30 minutes with a practitioner from the practice that does the work. You’ll leave with a clear view of your next step.
Book a 30-minute conversationOutcomes
What you can expect
- AI built on data the business trustsAssessment
- One governed AI use case in productionImplementation
- A reusable foundation for the next use caseImplementation
Each outcome is labelled with the stage that delivers it. An assessment or advisory engagement on its own does not include the implementation work.
Is this right for you?
Tick what sounds familiar
Select the needs that apply. We’ll collect them here so you can review the fit.
DeliverablesDeliverables by phase (7)
Assess
- Use-case value case
- Data readiness scorecard
- Fixed-price build proposal
Build
- Working data layer
- One AI use case in limited production, with agreed users and guardrails
- Access and lineage documentation
Run (optional)
- Monthly data quality and AI usage report (optional Run)
Good to know
Questions leaders ask
What is Amazon Bedrock?
AWS's managed service for building generative AI applications using a choice of models.
Will our data be used to train models?
Data handling and model choices are reviewed with your security team during the assessment, and we confirm the details for your situation in the proposal.
What does 'production' mean here?
A working system used by real users, with monitoring, access controls and success measures written into the statement of work.
We haven't decided between AWS and another platform for AI.
Then our AI practice's data readiness assessment may fit better. This offering is for organizations that have chosen AWS.
Why it matters nowThe numbers behind this
Related offerings
Often paired with
AWS Cost Optimization
“Our AWS bill keeps growing, and nobody owns it.”AWS bills grow with every new workload, but tagging, budgets and commitments rarely keep up. Learn moreAWS Readiness and Architecture Review
“Is our AWS built right, and are we ready for what's next?”A short, fixed-fee review that tells you where your AWS environment stands and what to do next. Learn moreAWS Landing Zone and Foundation
“We're building in AWS without a foundation.”A secure, governed multi-account AWS environment that every later workload lands in. Learn moreTalk with our team
Talk to us about Data and AI on AWS
Tell us the decision, deadline or problem in front of you.
- A reply from the practice that does the workThe practitioners who would deliver it.
- A short conversationWhat needs to happen, and by when.
- A written proposalWhat you would receive, how long it takes and the fee, before you commit.
No cost, no obligation.
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About 30 minutes with a practitioner from the practice that does the work, not a salesperson. It’s about your situation, and you’ll leave with a clear view of your next step. No cost, no obligation.
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