Agents on Bedrock AgentCore
Agent runtime, memory, gateway and identity on AgentCore, with Claude on Bedrock as the reasoning layer.
- AgentCore
- Claude on Bedrock
Amazon Web Services
Amazon Web Services
Agentic AI on AWS, ready for regulated workloads.
We design, build and run AI agents on Amazon Bedrock and Bedrock AgentCore, connected to your systems through serverless integration and landing zones built for financial services.
- Core services
- Bedrock · AgentCore · SageMaker · Lambda
- Models
- Claude and other Bedrock models
- Delivery
- Advisory · Implementation · Managed
What we deliver on AWS
From Bedrock pilot to production platform.
Our AWS builds follow the Well-Architected Framework and its generative AI guidance, from the landing zone up.
Knowledge & RAG
Bedrock Knowledge Bases or OpenSearch with metadata filters, entitlement-aware retrieval and citation checks.
- Knowledge Bases
- OpenSearch
Guardrails & governance
Bedrock Guardrails, PII redaction, CloudTrail audit and approval workflows on Step Functions.
- Guardrails
- CloudTrail
Serverless integration
Lambda, API Gateway, EventBridge and Step Functions connecting agents to core banking, CRM and document stores.
- Lambda
- Step Functions
Regulated landing zones
Control Tower, private networking with PrivateLink, KMS customer-managed keys and data residency by region.
- Control Tower
- KMS
ML & LLMOps
SageMaker for custom models, eval pipelines in CI/CD, and cost and latency observability in CloudWatch.
- SageMaker
- CloudWatch
“From a Bedrock & Bedrock Agents engineer: “Abhishek has been nothing short of outstanding… a rare blend of technical excellence, strategic thinking, and ownership.” Boris Vinokur, Software Development Engineer, AWS Bedrock & Bedrock Agents (verified on Upwork).
FSI on AWS
Use cases we build on AWS.
How we serve clients
Advise. Build. Run. On AWS.
We’re a services firm. Clients engage us for advice, for delivery, or to operate their AI systems long term, and most start with one and grow into all three.
Advisory
Use-case discovery, architecture and platform selection, AI governance design and business cases.
- Discovery sprint
- Architecture review
- Governance design
Implementation
Production agents, copilots and RAG systems, integrated with your systems of record and delivered with evals and security review.
- Governed pilots
- Production builds
- Integrations
Managed services
AgentOps after go-live: monitoring, eval regression, cost optimisation, model upgrades and continuous improvement under SLA.
- AgentOps
- Model upgrades
- SLA support
Next step
Building on AWS?
We’ll review your account structure and data, and propose a Bedrock-based agent architecture for your first workflow.