Introduction:

Xpander.ai, a leading AI automation platform, partnered with Commit to enhance its infrastructure, scalability, and security on AWS. Facing challenges in workflow management, data accuracy, and compliance, Xpander.ai required expert support for implementation and day-2 operations. Commit leveraged AWS services, including Amazon Bedrock, MongoDB, and Karpenter ASG, to optimize resource allocation, automate OpenAPI Specification management, and ensure enterprise-grade security. The collaboration enabled Xpander.ai to accelerate deployment, reduce manual effort, and enhance system reliability while leveraging AWS funding programs for cost efficiency.

About Xpander.AI

Xpander.ai is a cutting-edge platform that empowers engineers and technical leaders to develop autonomous and reliable AI agents capable of handling complex, multi-step workflows. By leveraging its unique Agent Graph System, the platform automatically generates execution paths, ensuring precise and efficient task automation. This innovation simplifies the creation of intelligent agents that can navigate intricate tasks with accuracy.

Xpander.ai has rapidly become a trusted partner for enterprises aiming to automate knowledge work, enhance decision-making, and improve operational efficiency. The platform offers both serverless and self-hosted deployment options, compatibility with various AI frameworks and models, and a built-in interface generator for custom systems. By building and managing AI agents in-house with Xpander.ai, organizations can reduce reliance on external vendors and maintain greater control over proprietary processes, driving innovation and efficiency across their operations.

Challenges

Xpander.ai had already developed a robust product but required expertise in infrastructure architecture, DevOps, and security compliance to scale efficiently. The company needed a reliable partner to support the planning, implementation, and day-2 operations of its AI-driven integration system. Additionally, Xpander.ai sought a collaborative approach, working alongside their internal team while also leveraging Commit Offshore’s Front-End Development services. Key challenges included:

• Complex Workflow Management – Managing interdependent API calls across multiple platforms while ensuring seamless orchestration and automation.
• Data Consistency and Accuracy – Aggregating data from diverse sources while maintaining real-time accuracy for AI-driven decision-making. 
• Scalability and Resource Optimization – Handling increasing workloads with dynamic resource allocation for optimal performance.
• Standardization and Integration – Maintaining OpenAPI Specifications to streamline communication between AI agents and enterprise systems.
• Security and Compliance – Ensuring enterprise-grade security and regulatory compliance within highly regulated industries.

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Solution

As an AWS Premier Partner, Commit provided end-to-end support from planning to implementation and day-2 operations, focusing on automation, scalability, and security. Our solution included:

• Amazon Bedrock: Facilitated seamless interaction with LLMs for generating and enhancing OpenAPI Specifications, improving AI performance.
• MongoDB: Stored and managed OpenAPI Specifications, ensuring they remained current and accessible.
• Karpenter ASG: Dynamically scaled resources within Amazon EKS to efficiently manage fluctuating workloads.
• Amazon ECR: Provided a secure, scalable container registry for managing application containers within the AWS ecosystem.
• Monitoring & Security: Tools like Amazon CloudWatch, Control Tower, and Inspector ensured system security, continuous monitoring, and regulatory compliance.

Commit and Xpander.ai worked together collaboratively, integrating our experts with their in-house team to ensure smooth execution. To optimize costs, we leveraged AWS funding programs alongside the client’s investment, conducting a POC and incremental workload deployment to validate and refine the solution.

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Results

The solution provided by Commit, leveraging AWS’s powerful ecosystem of services, yielded impressive benefits for Xpander.ai:

• Reduced Manual Effort: Automation of OpenAPI Specification management allowed engineers to focus on higher-value tasks.
• Minimized Errors: AI-driven guidance ensured accurate interactions between AI agents and enterprise systems.
• Accelerated Deployment: Automated OpenAPI generation sped up AI-driven application deployment and integration.
• Scalability: The platform's use of Amazon EKS, Karpenter ASG, and MongoDB ensured it could handle growing workloads with ease.
• Security and Compliance: AWS tools guaranteed secure, compliant operations, protecting sensitive data and maintaining client trust.

“Working with Commit has been a strategic decision, allowing us to focus on our core value proposition. Delegating DevOps to a specialized partner while maintaining a lean, fast-moving internal team was one of the best decisions we’ve made.“
‍David Twizer, Co-Founder & CEO, Xpander