AI-Native Consulting

Infrastructure Solutions

Move, modernize and run

Microsoft Solutions

AWS

Infrastructure Services

Data Center Migration

Business Resilience

Keep the business running

Business Continuity

IT Disaster Recovery

Crisis Management

Cyber Security

Managed Services

Co-managed, not outsourced

Home/AWS/Data and AI on AWS

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

First, you receiveAssessUse-case value case · Data readiness scorecard · Fixed-price build proposal
Timing and scopeAssess: fixed fee. Build: fixed scope. Run: optional, monthly.
What happens nextA written recommendation. If you proceed, a scoped proposal for the next stage.

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 conversation

Outcomes

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
53%of survey respondents cite security and compliance as their top challenge for cloud-based AI (Source: Flexera 2026 State of the Cloud Report, March 2026)
60%of AI projects without AI-ready data will be abandoned through 2026 (Source: Gartner prediction, February 2025)

Related offerings

Often paired with

Talk with our team

Talk to us about Data and AI on AWS

Tell us the decision, deadline or problem in front of you.

  1. A reply from the practice that does the workThe practitioners who would deliver it.
  2. A short conversationWhat needs to happen, and by when.
  3. A written proposalWhat you would receive, how long it takes and the fee, before you commit.

No cost, no obligation.

Loading the form…

Prefer to ask now?