Case Study

Accelerated Bill Inspection MVP with Agentic AI in 2 Weeks

A leader in ESG data management partnered with R Systems to rapidly build an Agentic AI-powered bill inspection MVP in just two weeks. The solution integrated instant UI prototyping, autonomous sprint execution, AI-driven code assembly, and self-updating test suites to streamline bill review and feed corrections back to the model – closing the loop between AI extraction and human validation while accelerating development and model refinement.

August 12, 2025

Agentic Delivery, Continuous Feedback, and Rapid Prototyping

AI-First MVP Development

  • Built an Agentic AI-powered bill inspection MVP in just two weeks, integrating autonomous sprint execution with Jira automation.
  • Leveraged context-aware Nest.js/Next.js agents for rapid code scaffolding, PR reviews, and AWS Amplify deployments.
  • Spun up interactive UI/UX mockups in hours using v0.dev agents, enabling instant stakeholder feedback and design iteration.

Closed-Loop Model Refinement

  • Created a seamless feedback loop between AI extraction and human review, instantly feeding corrections back to the model.
  • Automated dataset creation to accelerate LLM improvement cycles and reduce manual intervention.
  • Ensured continuous enhancement of structured data accuracy through iterative validation.

Strategic Outcomes

  • Delivered a future-ready bill inspection platform with accelerated time-to-market.
  • Reduced dependency on manual review while improving AI accuracy at scale.
  • Enabled full adoption of AI-first development practices across the client’s engineering team.

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