01
AI workload architecture
Assess Amazon Bedrock and other appropriate services against the workflow’s model and runtime requirements.
Amazon Web Services practice
Build AI into
your AWS environment.
Connect model capabilities, enterprise data, and application workflows to the cloud foundations your team can operate.
What we bring together
Focused expertise.
Connected delivery.
02
Data & integration
Connect approved information sources, APIs, and event flows with clear ownership and failure handling.
03
Cloud operations
Design deployment, identity, monitoring, recovery, and cost controls around the agreed workload.
Illustrative application
Start with the work.
Design the whole solution.
A client intake workflow processes submitted documents, prepares a review using approved enterprise information, and coordinates an accepted handoff through application interfaces. AWS supplies the selected cloud services; the solution design connects them to the business process.
AI engineering is connected to data, platform, security, integration, and adoption responsibilities in the same delivery plan.
See how the disciplines fit together ↗Architecture & acceptance
Make the important
decisions explicit.
- Confirm service availability, workload constraints, and data handling for the intended environment.
- Design runtime and identity boundaries together with the application and data owners.
- Test recovery, duplicate prevention, monitoring, and operating cost at representative demand.
Platform reference: Amazon Bedrock overview ↗
Reference architecture
An AI workload on AWS.
- 01Business workflowUsers · approvals · applications
- 02Models & agentsAmazon Bedrock or another model route
- 03Data & retrievalStorage · pipelines · knowledge bases
- 04Cloud foundationAccounts · networking · IAM
- 05OperationsMonitoring · cost · recovery
From architecture to operation
One integrated delivery.
Clear acceptance.
An AWS solution architecture, configured environments, integrated workflow, release evidence, and operating procedures.
PrismWorks leads the solution architecture, coordinates specialist affiliate contributions, and owns the integrated delivery against agreed acceptance measures.
Define the team and the result.
We confirm the necessary specialists, customer responsibilities, access, milestones, and support in the engagement scope. Your business owner accepts the outcome; your operating team receives the agreed assets and training.
Your next step
Build the complete solution.
Discuss the workflow, the platform environment, and the specialist capabilities your team needs.