Delphi – AI-Powered Business Problem Decomposition & Task Generation Platform
Corporate Enterprises
Global
Frontend: React, Backend: Next.js, Fast API, Python; Architecture: Azure App Service; Database: Azure PostgreSQL, Cosmos DB, Knowledge Graph, LLMs
AI-Powered Business Problem Decomposition & Task Generation Platform
An AI-powered platform that transforms enterprise problem analysis by automating and standardising task decomposition using LLMs and domain expertise. It accelerates cross-functional collaboration and replaces slow, manual planning processes — enabling presales teams to generate structured, execution-ready project plans, RFP analysis, resource loading plans, delivery timelines, and cost sheets in minutes.
Identifying the unique obstacles that hinder progress and uncovering the root causes behind complex business problems.
Seamlessly transform high-level business problems into structured, execution-ready plans using AI-driven analysis and domain intelligence — replacing slow, manual planning processes.
Automate RFP analysis with capabilities to upload documents, generate clarification questions, extract key deliverables, and estimate efforts without manual processing.
Empower users to edit, enhance, and customise AI-generated outputs while maintaining traceability to original RFP content for transparency and auditability.
Enable automated generation of resource loading plans, delivery timelines, and cost sheets to support comprehensive project planning and budgeting.
Support Microsoft SSO for secure user authentication and enterprise access control alignment across the platform.
Developing strategic, innovative solutions designed to address each challenge with precision, ensuring measurable impact and long-term success.
Developed a modular, microservices-based platform using React for the Frontend and Next.js, Fast API, and Python for the Backend to ensure scalability and maintainability.
Integrated Microsoft SSO for secure and seamless user authentication, aligned with enterprise access control requirements.
Leveraged Large Language Models (LLMs) to analyse RFPs, generate clarification questions, summarise content, and auto-identify key deliverables.
Built a dynamic estimation engine to convert deliverables into structured plans with effort hours, role-based tasks, and risk indicators.
Enabled automated creation of resource loading plans, delivery timelines, and cost sheets to support end-to-end project planning and financials.
Delivering tangible results that drive operational efficiency, data trust, and sustained business value for the organisation.
Accelerated project planning by transforming high-level business problems into structured execution plans in minutes, not days.
Reduced manual effort and inconsistencies through AI-driven analysis, clarifications, and estimation powered by domain intelligence.
Improved transparency and collaboration with editable AI outputs, traceability to source documents, and version-controlled submissions.
Simplified complex workflows using an intuitive, milestone-driven interface that guides users through each step of the planning process.
Enhanced strategic decision-making with automated resource loading, delivery timelines, and cost projections tailored to project scope.