AI on AWS discovery and architecture engagement by safeINIT

Moving an AI use case onto AWS is a significant commitment. Before you build, you need a validated architecture that accounts for security, data flows and cost. safeINIT's AI on AWS discovery and architecture engagement gives you exactly that in 3 to 4 weeks.

This is a fixed-scope paid engagement, not a build. It is the front door to a separate implementation phase, giving your team the clarity and confidence to move forward.

Product and engineering leaders at growth-stage companies in regulated industries such as healthcare, fintech and IoT, based in the UK and North America, who want to move an AI use case onto AWS but need a validated architecture before committing resources to a build.

• Use-case assessment and feasibility review that confirms your AI use case is viable on AWS.
• A target architecture on AWS using Amazon Bedrock accessed over VPC PrivateLink, a vector data store and private networking.
• Data flow and security design including KMS encryption and least-privilege IAM policies.
• A cost model for the proposed workload so you can plan the build with confidence.
• A phased implementation plan with effort estimates that your team or a build partner can execute against.

safeINIT provides infrastructure foundations and technical safeguards that support clients' own compliance work. The architecture incorporates private networking, encryption at rest and in transit, and least-privilege access controls from day one.

safeINIT is an AWS Advanced Consulting Partner. We specialise in helping regulated organisations adopt AI systems on AWS with architectures that are secure, well-structured and ready for production.