Cloud FinOps & Sales Ops Agent
In this RAG / Agentic AI example, the AI agent uses the company’s policies and procedures to automate responding to spikes in cloud costs (e.g., Jira tickets) and to answer prospective customers’ questions. The system uses retrieval-augmented generation (RAG) and agentic AI to show how autonomous agents can integrate multiple tools and data sources to automate complex, rule-based workflows.
Question & Run Controls
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A spike related to API Gateway cost was detected - API Gateway spend doubled overnight after we rolled out new ingest endpoints.
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Monitor tool calls and the agent’s narrative response. Compare the agent's response to to see if the agent stayed aligned with company procedures.
Tool Calls (Slack, Jira, GitHub)
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Agent Response
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