Best End-User Application of AI in Software Delivery
For an enterprise's own use of AI or AI agents — built, configured, or applied internally — that measurably improved software delivery, quality, reliability, or developer experience. This is the community-track counterpart to the AI categories in Tools & Services: it celebrates what an end-user organization did with AI, not the commercial tool or platform itself. Nominations should name the organization and describe the specific use case and its measured impact, distinguishing genuine internal application from a vendor pitching its own AI product.
4 finalists
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Himanshu Palerwal, Senior Manager, ServiceTitan
ServiceTitanBringing AI agents into everyday business operations, from customer support to onboarding, built on open standards and running in production today.
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Karmendra Pandey
TEKsystemsA cost-aware routing layer for LLM agents that routes each request across model tiers using a token-economics cost model — cutting inference spend while holding quality, with a verified runnable open-source example.
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Rajeshkumar Rajaseakaran Nair
IBM CorporationRajeshkumar Rajaseakaran Nair developed an enterprise-focused AI validation approach that integrates continuous quality, reliability, and governance checks into AI-enabled software delivery workflows.
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Scopic Human-Governed AI-Assisted Software Delivery Workflow
ScopicScopic uses a human-governed AI-assisted development workflow to accelerate software delivery while preserving code quality, security, and engineering accountability.