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    CloudAI Custom API Driven Automation On Demand

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    Automation tailored to the applications that don't fit off-the-shelf tools. CloudAI brings stability, consistency, and speed to homegrown applications, partner portals, vendor systems, and any third-party software with an exposed API — using AWS Step Functions, AWS Lambda, Amazon API Gateway, and Amazon EventBridge, accelerated by pre-built CloudFormation and Terraform templates with idempotency, error handling, and observability built in. We wrap your enterprise systems as Model Context Protocol (MCP) servers deployed on Amazon Bedrock AgentCore Runtime with stateful sessions, identity, memory, and gateway management — seamlessly automating home-grown applications into your multicloud environment and making them callable by any AI agent that speaks MCP.

    Overview

    Every enterprise has applications that don't fit the off-the-shelf integration mold. Homegrown systems built over a decade, partner portals with quirky APIs, vendor platforms with proprietary endpoints, and workflows that span half a dozen tools — none of them fit cleanly into MuleSoft, Boomi, or RPA tooling. CloudAI's Custom API Driven Automation On Demand brings the same engineering rigor as our broader automation practice to these one-of-a-kind systems, building custom automation tailored to your specific use cases using AWS-native services and the Model Context Protocol (MCP) as a standardized integration contract.

    If an application has an exposed API, we can automate it — and we build the automation as production-grade code, not brittle scripts. We engineer orchestrated workflows on AWS Step Functions, glue code on AWS Lambda, scheduled and event-driven triggers on Amazon EventBridge, secure API facades on Amazon API Gateway, and message-based decoupling on Amazon SNS and Amazon SQS. Increasingly, we wrap custom APIs as MCP-compatible tools deployed on Amazon Bedrock AgentCore Runtime — so your homegrown applications become callable by any AI agent that speaks MCP, not just the one we build for you today. Customers gain stability, consistency, and speed when home-grown applications are seamlessly automated into their multicloud environment, with idempotency, retry logic, dead-letter handling, observability, secrets management, and audit logging engineered into every workflow.

    Learn more about our full portfolio of cloud solutions at cloudaillc.com.

    CloudAI Custom API Driven Automation On Demand services include, but are not limited to:

    • Pre-built CloudFormation and Terraform templates for common custom automation patterns — Step Functions workflows, Lambda glue, API Gateway facades, EventBridge Pipes, and MCP server scaffolding
    • Workflow orchestration on AWS Step Functions (Standard and Express workflows) for long-running and high-throughput automation
    • API facades on Amazon API Gateway and AWS AppSync to wrap legacy or vendor APIs in clean, secure, governed interfaces
    • Glue code and adapters on AWS Lambda for transforming, enriching, and routing API calls across systems
    • Event-driven orchestration with Amazon EventBridge, EventBridge Pipes, Amazon SNS, and Amazon SQS for decoupled, scalable automation
    • Custom MCP server development — wrapping homegrown applications, partner portals, and vendor systems as Model Context Protocol-compatible tools deployed on Amazon Bedrock AgentCore Runtime with stateful sessions, elicitation, sampling, and progress notifications
    • Secrets and credential management via AWS Secrets Manager and AWS Systems Manager Parameter Store
    • Resilience patterns — idempotency, exponential backoff retries, circuit breakers, dead-letter queues, and saga compensation
    • Observability built in — Amazon CloudWatch metrics, AWS X-Ray distributed tracing, structured logging, and OpenTelemetry instrumentation
    • AI-assisted automation development via the AWS Knowledge MCP Server, AWS IaC MCP Server, and AWS CloudFormation MCP Server with Amazon Q Developer — turning automation requirements into validated, deployable code
    • Agentic workflows using Amazon Bedrock Agents and **Amazon Bedrock AgentCore **for natural-language orchestration over your custom APIs

    Every engagement is delivered by a senior AWS-certified serverless architect with deep API design, workflow orchestration, and MCP server experience, includes a named Engagement Lead, and ends with versioned Infrastructure as Code and documented runbooks your team can extend without us.

    Highlights

    • Automate any application with an exposed API. CloudAI brings stability, consistency, and speed to homegrown systems, partner portals, vendor platforms, and third-party SaaS — using AWS Step Functions, AWS Lambda, Amazon API Gateway, Amazon EventBridge, and custom MCP servers deployed on Amazon Bedrock AgentCore Runtime.
    • Production-grade engineering, not brittle scripts. Every workflow is built with idempotency, exponential backoff, dead-letter queues, secrets management, distributed tracing, and audit logging — accelerated by pre-built CloudFormation and Terraform templates and engineered in from sprint one, not retrofitted after the first production failure.
    • Turn custom systems into MCP-compatible tools for AI agents. CloudAI wraps your homegrown applications as Model Context Protocol servers on Amazon Bedrock AgentCore Runtime — making them callable by any AI agent that speaks MCP, with stateful sessions, identity, memory, and observability fully managed.

    Details

    Delivery method

    Deployed on AWS
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    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    Expert support from your CloudAI team.

    From first consultation to daily operations, CloudAI combines senior AWS-certified architects with always-on service to deliver technology when and how you need it. Every engagement is backed by a named Engagement Lead, weekly delivery reviews, defined response SLAs, and a documented handover to your team.