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Lightning AI Deployment & Workflow Automation

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Linked challenge: Enterprise AI Integration Layer

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Linked challenge
Enterprise AI Integration Layer

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Deploy your integrated Semantic Kernel and Haystack components as scalable services using Lightning AI. Design a stateful DAG-based workflow within Lightning AI (or an integrated orchestrator) that demonstrates an end-to-end IT automation scenario, such as detecting a service issue, querying the knowledge base, proposing a solution, and executing it via MCP tools. Apply adaptive thinking budgets to manage resource allocation for different stages of the workflow.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the source structure until you know which part of the prompt is actually driving the result quality.

Tune next

Change domain facts, examples, and tool context first before you rewrite the instruction scaffold.

Verify after

Validate one failure mode at a time so prompt changes stay attributable instead of getting noisy.