Overview
Overview
Many organizations have experimented with generative AI but struggle to move beyond isolated pilots into secure, scalable production systems. Internal teams often face unclear use-case prioritization, integration complexity, governance concerns, and a lack of operational visibility. As a result, AI initiatives stall before delivering measurable business impact.
Develeap's AI in Production solution enables organizations to systematically move from experimentation to production-grade generative AI systems on AWS. The engagement is structured around two core phases: AI readiness and opportunity mapping, followed by AI agent engineering and production deployment.
In Phase 1 (AI Readiness and Opportunity Mapping), Develeap works with business and technical stakeholders to identify high-impact bottlenecks, assess data and architectural readiness, define risk and governance requirements, and design a prioritized roadmap for production deployment. This phase results in clearly defined AI use cases, an AWS-based reference architecture, and an execution plan tied to measurable business outcomes.
In Phase 2 (AI Agent Engineering and Production Deployment), Develeap designs, builds, and deploys custom AI agents tailored to the organization's workflows and systems. These agents are built using Amazon Bedrock and AWS-native services, and are securely integrated into existing environments such as CRM platforms, ticketing systems, DevOps tools, knowledge bases, and internal applications. The solution includes human-in-the-loop controls, role-based access management, observability, hallucination monitoring, and the governance mechanisms required for enterprise-grade operation.
This service relates to and is built on the following AWS services: Amazon Bedrock, AWS Lambda, Amazon ECS, Amazon EKS, Amazon API Gateway, AWS IAM, Amazon S3, AWS Step Functions, and Amazon CloudWatch. Together these services ensure scalability, security, and operational transparency.
The outcome is production-ready generative AI systems operating within a governed AWS environment, enabling organizations to reduce operational bottlenecks, accelerate workflows, improve decision-making, and scale AI adoption safely and sustainably. Develeap's approach emphasizes measurable impact, secure deployment, and long-term scalability, transforming generative AI from experimentation into a core operational capability built on AWS.
Highlights
- From generative AI pilots to production: a two-phase, outcome-driven engagement that takes you from AI readiness and use-case mapping to full deployment of custom AI agents on AWS, tied to measurable business impact.
- Enterprise-grade by design: every generative AI system ships with human-in-the-loop controls, role-based access, observability, hallucination monitoring, and governance built in from day one for safe, scalable adoption.
- Native to AWS: AI agents built on Amazon Bedrock and AWS-native services, including AWS Lambda, Amazon ECS or EKS, Amazon API Gateway, AWS Step Functions, and Amazon CloudWatch, for security, scalability, and operational transparency.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.