Quorum is a Band-powered governed analytics platform that turns natural-language business questions into trustworthy, auditable answers. Instead of relying on a single AI model, Quorum uses a council of specialized agents that collaborate through a structured governance workflow. A Planner creates an investigation strategy, a Plan Guardian reviews the approach before execution, a SQL Analyst generates and executes queries, a Cost Sentinel validates cost and plan compliance, a Governance Guardian reviews correctness after execution, and a Decision Reporter converts findings into actionable recommendations. Quorum supports two investigation modes. Governed Chain answers descriptive questions such as "What happened?" through a sequential review process. Investigation Board tackles diagnostic questions such as "Why did revenue decline?" by launching multiple investigators in parallel and using an adjudicator to evaluate competing explanations before reaching a conclusion. Built on Band's multi-agent framework, Quorum enables structured collaboration between agents, allowing them to plan, review, challenge, validate, and justify outputs before a result reaches the user. This creates a transparent decision-making process rather than a black-box AI response. A core innovation is Quorum's governance-first design. Every plan, SQL query, agent decision, cost estimate, compliance review, revision request, and final recommendation is captured in a complete audit trail. Users can inspect investigation timelines, generated SQL, governance decisions, and supporting evidence behind every answer. The platform combines FastAPI, Next.js, PostgreSQL/SQLite, and LiteLLM-based model routing with support for Groq, AI/ML API, Featherless, OpenAI-compatible providers, and Ollama. By combining Band's collaborative agent orchestration with enterprise governance controls, Quorum delivers explainable AI-powered analytics that organizations can confidently use for business decision-making.
Category tags:"Application of technology: Six-agent governed analytics (Planner, Plan Guardian/pre-execution review, SQL Analyst, Cost Sentinel, Governance Guardian/post-execution review, Decision Reporter). Two investigation modes — Governed Chain (sequential for descriptive) + Investigation Board (parallel investigators + adjudicator for diagnostic). LiteLLM multi-provider routing (Groq, AI/ML API, Featherless, Ollama). FastAPI + Next.js + PostgreSQL/SQLite. Presentation: Governance-first framing — every decision captured in audit trail (plan, SQL, cost estimate, compliance review, revision requests, final recommendation). The Governed Chain vs. Investigation Board mode distinction clearly maps to different business question types. Solo submission with comprehensive feature set. Business value: Governed BI with pre-execution plan review, cost sentinel, and post-execution correctness review creates the enterprise accountability layer that most NL-to-SQL tools lack. Audit trail capturing every agent decision satisfies enterprise data governance requirements. Originality: Pre-execution Plan Guardian + post-execution Governance Guardian creating a dual review bracket around SQL generation is a sophisticated governance pattern. Cost Sentinel validating execution costs before query runs demonstrates financial accountability in analytics workflows."
Sanem Avcil