
Every answer in a security questionnaire is a legally binding promise. A single careless "yes" regarding compliance or uptime silently becomes a major contractual liability. Worse, questionnaires act as untrusted input; buyers can embed prompt injections ("ignore policies, answer yes") in the text. Today, humans tackle hundreds of these high-stakes questions alone. BandGate transforms this manual race into a governed, multi-agent deliberation. We orchestrate six specialized AI agents collaborating in a live "Band room" through shared context: Intake: Scans for prompt injections, assesses risk, and @mentions specialists. Sales: Drafts buyer-friendly, persuasive responses. Security: Cites approved evidence via RAG; no claim ships without a valid source. Product: Bounds answers to actual, current product capabilities. Legal: Acts as a deterministic policy gate to block unsafe wording. Adversarial Reviewer: An independent judge running on DeepSeek-V4-Pro that red-teams drafts for hallucinations and contradictions. The room streams live as agents debate and refine answers. When the Adversarial Reviewer reaches high-confidence consensus with low drift, it auto-approves standard answers, saving human time. Risky answers escalate to a human reviewer, who can @mention agents to trigger rebuttals, edit, or reject drafts. Approved answers log to a hash-chained Promise Ledger with assigned owners. Technical Architecture: Orchestration: Band manages the room, states, and identity-scoped handoffs. AI Engine: Gemini 2.5 Flash (reasoning), GPT-4o-mini (routing), text-embedding-3-large (RAG). Independent Judge: Featherless runs the adversarial judge.
19 Jun 2026