AGate LLM Gateway on AWS

Overview Scaling generative AI without centralized aws governance creates compliance risk, uncontrolled costs, and operational blind spots. Adastra's AGate platform is an enterprise LLM Gateway deployed directly within the client's AWS tenant, providing centralized control over model access, usage, performance, and cost across Amazon Bedrock and other LLM providers. With a built-in Admin Portal, monitoring dashboards, audit logging, and EU data residency support, AGate gives organizations a production-ready foundation for enterprise generative AI operations without custom gateway development.

Approach Adastra deploys the AGate platform directly into the client's AWS tenant, ensuring all data, model interactions, and logs remain within the customer's controlled environment. AGate integrates with Amazon Bedrock and other supported LLM providers, enabling centralized AWS governance across multi-model and hybrid AI strategies. The engagement focuses on configuring the pre-built AGate platform to align with the client's security policies, identity model, compliance requirements, and operational standards. No custom gateway development is required – AGate is production-ready and purpose-built for enterprise generative AI control.

Activities

• Assess current generative AI workloads and governance requirements.
• Deploy AGate into the customer's AWS environment.
• Configure integrations with Amazon Bedrock and additional LLM providers.
• Set up centralized Admin Portal for role-based configuration and control.
• Enable built-in monitoring dashboards for latency, usage, and success rates.
• Configure audit trail logging and compliance controls.
• Implement cost tracking and usage management policies.
• Validate performance, failover behavior, and operational readiness.

Deliverables

• Deployed AGate platform within the client's AWS tenant.
• Configured Admin Portal for centralized governance and access control.
• Integrated multi-provider LLM routing and management.
• Monitoring dashboards including Grafana-based observability views.
• Enabled audit logging and usage traceability.
• Configured cost visibility and usage control mechanisms.
• Documentation and operational handover.

Outcomes

• Enterprise-grade generative AI governance across Amazon Bedrock and other LLM providers.
• Secure deployment with data residency and tenant isolation.
• Real-time visibility into model usage, latency, and reliability.
• Controlled AI spend with enforceable usage policies.
• Reduced compliance risk through built-in auditability.
• Faster transition from pilot use cases to scalable production.

Adastra: Your AWS Partner for Data, AI, and Cloud Adastra is an AWS Premier Consulting Partner with over 25 years of experience delivering data, AI, and cloud solutions across financial services, retail, manufacturing, and distribution. Our generative AI governance deployments are purpose-built for enterprise scale and compliance. With deep expertise in Amazon Bedrock, LLM operations, and cloud-native security, Adastra gives organizations a trusted partner to operationalize AI with full control and transparency.