We stand up the cloud infrastructure that makes enterprise AI possible — configuring AWS and Microsoft AI platforms with the same identity, access, and network controls we’ve built for critical infrastructure environments.
What’s Included
- AWS: Bedrock, SageMaker, and Q setup and configuration
- Microsoft: Azure AI Foundry, Copilot Studio, Azure OpenAI Service setup
- Cloud landing zone design for AI workloads (networking, IAM, data residency)
- Data pipeline and lakehouse setup (Databricks, Snowflake integration)
- Identity and access governance for AI platforms
- Multi-cloud AI platform strategy for hybrid environments
Meruksha’s Differentiators
- IAM architecture is a core Meruksha strength — our platform setups are secured at the identity layer from day one, not retrofitted
- Cross-cloud fluency means recommendations are based on workload fit, not a single vendor's roadmap
- Built for regulated environments — data residency and access control decisions are made with compliance requirements baked in, not treated as an afterthought
See it in action
Illustrative engagement (Specialty Retail / CPG): Read the case study