Industry
Enterprise Software and Observability
Created a scalable architecture for enterprise agents and custom GPTs
Connected AI capabilities across AWS, Salesforce and Slack
Established a responsible AI roadmap for observability and incident response
A global observability and infrastructure-monitoring company set out to advance an enterprise-wide AI and data transformation. Its vision included providing agents to employees, developing custom GPTs, embedding OpenAI capabilities into products and supporting client implementations.
Altimetrik developed a robust agent infrastructure using the OpenAI Agent SDK, Pinecone Vector Database and the client’s enterprise technology environment. The engagement also combined adoption programs and responsible AI strategy to support scalable internal and product-focused innovation.
The client wanted to expand AI across both employee workflows and customer-facing products. This required a common foundation that could support multiple agents, custom GPT development and integrations with existing enterprise platforms.
Technology alone was not enough. The organization also needed a structured adoption approach to identify priority use cases, build employee confidence and track progress.
Embedding AI into observability products introduced an additional requirement: a responsible product strategy that could improve incident response and system reliability while maintaining trust and governance.
Without reusable infrastructure, individual AI initiatives could create duplicated development effort, inconsistent user experiences and limited scalability. A fragmented approach would also make it harder to connect agents with enterprise systems or move successful experiments into broader adoption.
The client needed an operating foundation that aligned architecture, adoption and responsible AI with its product roadmap.
Altimetrik designed and deployed a scalable agent architecture using the OpenAI Agent SDK and Pinecone Vector Database.
The infrastructure connected with the client’s AWS environment and enterprise platforms, including Salesforce and Slack. This enabled agents to retrieve relevant information, interact with business systems and support workflows through familiar employee channels.
Enablement and adoption programs prioritized GPT use cases for human resources, employee training and corporate progress tracking. This helped the organization focus investment on practical use cases while building an enterprise-wide adoption pathway.
Altimetrik also developed a go-to-market strategy for Observability and AI. The strategy aligned responsible AI principles with the product roadmap and identified opportunities to improve incident response and system reliability.
Established a structured pathway for deploying agents across employee workflows, including HR, training and progress tracking.
Created a scalable architecture for custom GPTs and agentic applications integrated with core enterprise platforms.
Aligned AI adoption with the observability product roadmap to support trusted innovation in incident response and reliability.
Altimetrik combined agent engineering, enterprise integration and responsible AI strategy to accelerate scalable adoption.
