Application and integrations
Build application features, APIs and agent tools that connect models to your business systems.
Production AI
Build and run AI applications on AWS.
We build AI applications and agents that work with your real data and business systems. We handle the software, integrations and AWS infrastructure, with testing, monitoring, access controls and cost controls for production use.
What Production AI means
AI that works inside a real business workflow.
An AI application might help a user find information, review code or complete a task across connected systems. Bringing it into production means building the application around the model, controlling its access and actions, testing its behavior and agreeing how it will be supported.
We can work on an existing application or scope a new one with your team. The application, data, infrastructure and ongoing support responsibilities are agreed for each project.
The work we scope
Software, integrations and operating controls.
Data and access
Connect relevant data sources, prepare retrieval where appropriate and define what each user or agent can access.
Evaluation and approvals
Test relevant outputs and failure cases. Define release checks and the actions that require human approval.
Deployment and operations
Deploy on AWS with monitoring, recovery procedures, running-cost visibility and an agreed support boundary.
Customer work
See what production AI looks like.
AutiHD / Mindory
Read about production AI architecture, agent tooling, memory, evaluation and observability on AWS.
RaptorCI
Explore AI code-review integration using Amazon Bedrock.
Products we build
Our own software adds engineering experience.
Octora
An agentic CRM for AWS partners, built and used by CloudHero.
HeyLeave
A standalone HR product connecting WhatsApp requests with business workflows.
Questions
Before we start.
Can you develop the application as well as its infrastructure?
Yes. We scope application engineering, APIs, integrations and the AWS platform according to the project.
Can you work with an existing AI application?
Yes. We review its architecture, integration and operating needs, then agree the work and responsibilities.
How do you control agent actions?
The project defines permissions, allowed tools, logging and human approval where required. The controls depend on the business workflow and risk.
Who operates the application after launch?
We agree application, model-provider and infrastructure responsibilities during scoping. Ongoing support is a separately defined part of the engagement.
Is this the same as Agentic DevOps?
Production AI builds and operates AI applications for business workflows. Agentic DevOps uses AI-assisted workflows inside the startup infrastructure service.
Find the right AWS funding options.
Explore guidance for startups, SMBs and enterprises, including migration support, eligible AI projects and usage credits.
What should AI do in your business?
Bring an existing application, a pilot or a use case. We’ll discuss what delivery and production operation require.