Streamlining energy management with agentic AI
Our client provides AI-driven energy management solutions that help organizations navigate the complexities of energy contracts, tariffs, and invoices. At the core of these tools is an automation, auditing, and forecasting platform developed in collaboration with AgileEngine and based on cutting-edge technology like agentic AI.
Industries
Artificial intelligence, Energy management, B2B, SaaS
Services
AI engineering, Data engineering, Backend development, Frontend development, DevOps, UI development
Solutions
AI, AI agent, Machine learning models, Data pipeline, Data visualization, UI
Technologies
TypeScript, React.js, Vite, MobX, MUI, Leaflet, jsPDF, ESLint, Vitest, Python, Django, Django REST Framework (DRF), PostgreSQL, Celery, Docker, Pytest, GCP (Google Cloud Platform), Redis, Obsidian, Terraform, GitHub Actions, OCR (Optical Character Recognition), LLMs (Large Language Models)
Outcomes
and highlights
- In just two months, our team took the project from greenfield to the first release, enabling the client to rapidly market-test the new solution.
- Our starter lead shaped the project from day one, providing the client with strategic consultancy on architecture and technology.
Solutions overview
Transforming energy procurement and billing management
Our work encompassed AI development, backend optimization, frontend enhancements, and cloud deployment to ensure scalability, accuracy, and transparency in energy procurement and billing management. The solutions we delivered helped the client reduce operational costs, enhance UX, and scale effortlessly to accommodate growing customer adoption.
Key deliverables
- AI agent leveraging Gen AI, language recognition, computer vision, and custom analytics
- GCP-based cloud infrastructure with automated CI/CD pipelines and enhanced system security
- Interactive dashboard for users to manage energy invoices, review AI-generated insights, and take corrective actions
- Document processing system for handling diverse energy contract and invoice formats
- Flexible calculation framework that adapts to different invoice structures for accurate cost validation
- Standardized code generation, improving maintainability, consistency, and accuracy
Technologies
Python, TypeScript, React.js, Vite, MobX, MUI, Leaflet, jsPDF, ESLint, Vitest, Django, Django REST Framework (DRF), PostgreSQL, Celery, Docker, Pytest, GCP (Google Cloud Platform), Terraform, GitHub Actions
AI agent powered by NLP, OCR, LLMs, and a custom data pipeline
The agentic AI system we developed leverages agentic NLP, OCR, and LLMs to automate data extraction, contract validation, and invoice reconciliation for energy contracts. The resulting solution reduces operational reliance on manual intervention, optimizes data accuracy, and ensures precise cost validation, enhancing overall energy procurement and billing management efficiency.
Key deliverables
- NLP and OCR pipeline that extracts, processes, and structures data from energy contracts, PPAs, and invoices (PDF, DOC, PNG)
- AI system that reconciles invoices with contractual terms, detecting discrepancies at every level
- Data pipeline and AI model optimization, reducing hallucinations and improving precision
- AI evaluation process implemented to minimize the need to have humans in the loop
- LLM-powered web scraper that retrieves PDFs and other relevant documents for data processing
Technologies
Python, LLMs (Large Language Models), Redis, Obsidian, OCR (Optical Character Recognition)
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AgileEngine helps companies across 15+ industries harness AI to streamline operations, optimize decision-making, and drive innovation at a fraction of the cost of building in-house