Services

AI agentic systems, AWS cloud engineering, security, and developer experience.

DanIT works with technical teams that need practical architecture and implementation across AI agents, AWS platforms, identity, authorization, observability, developer workflows, and hands-on enablement.

01

AI Agentic Systems

Design and implementation of Claude, Claude Code, MCP, and Amazon Bedrock systems that connect models, tools, data, permissions, evaluations, and operational controls.

Problem

Teams need to move beyond demos and build AI agents that can run safely inside real business and engineering workflows.

Outcomes

  • Agent architecture for Claude, Claude Code, Amazon Bedrock, Bedrock AgentCore, and MCP-based tool use
  • Claude Code onboarding and MCP workflows for engineering teams building internal tools, automation, and AI-assisted development processes
  • RAG and knowledge-base designs using PostgreSQL, pgvector, and managed AWS services
  • Multi-agent workflow patterns with prompt evaluation, structured outputs, observability, and failure-mode analysis

Technologies: Claude API, Claude Code, Claude tool use, structured outputs, Amazon Bedrock, Bedrock AgentCore, MCP, pgvector, PostgreSQL, Lambda, Step Functions

02

AWS Cloud Engineering

Cloud architecture and implementation for serverless, event-driven, and data-backed systems on AWS.

Problem

Engineering teams need cloud systems that are maintainable, observable, and ready for production pressure.

Outcomes

  • Serverless and event-driven architecture using Lambda, API Gateway, Step Functions, and EventBridge
  • Infrastructure automation with CDK, CloudFormation, SSM, and GitHub Actions
  • Operational baselines for deployment, monitoring, tracing, OpenTelemetry, and incident response

Technologies: AWS Lambda, API Gateway, Step Functions, EventBridge, CDK, CloudFormation, SSM, CloudWatch, X-Ray, OpenTelemetry

03

Cloud Security & Authorization

Security architecture for AWS workloads, identity, IAM boundaries, Amazon Cognito, Cedar policy language, automated reasoning, and fine-grained authorization.

Problem

AI and cloud systems fail when permissions, identity, and authorization are treated as late-stage implementation details.

Outcomes

  • Identity, IAM, and authorization model reviews for AWS platforms and application backends
  • Authentication and user identity patterns using Amazon Cognito and AWS-native identity services
  • Fine-grained authorization design using Amazon Verified Permissions, Cedar policy language, and automated reasoning
  • Security guardrails for agentic systems that call tools, APIs, and internal services

Technologies: IAM, Amazon Cognito, Amazon Verified Permissions, Cedar policy language, automated reasoning, AWS Organizations, CloudTrail, CloudWatch, OpenTelemetry

04

Workshops & Team Enablement

Practical technical workshops for teams adopting AWS security, Bedrock, Claude, Claude Code, MCP, Cedar, OpenTelemetry, and agentic development workflows.

Problem

Teams need hands-on learning that maps directly to their architecture and delivery context.

Outcomes

  • Custom workshops for engineering, platform, security, and leadership teams
  • Hands-on labs for Bedrock AgentCore, MCP servers, identity, authorization, developer experience, and cloud security
  • Architecture sessions that leave teams with practical decisions, not generic slideware

Technologies: AWS, Claude, Claude Code, Bedrock, MCP, IAM, Cognito, Verified Permissions, Cedar, OpenTelemetry, serverless, PostgreSQL