Government and defense contractors operating under Federal Acquisition Regulations face a fundamental challenge with AI-assisted analysis: the output must be auditable. Inspector General review, procurement challenge, and Congressional oversight all require a demonstrable analytical process — not a chatbot response. AI Consensus generates AI analysis with a full audit trail: which models produced which positions, where factual disagreements occurred, and a confidence score that quantifies how settled the consensus was before the final recommendation was written.
Single-model AI output fails the audit standard for government work for three reasons. First, it produces no analytical process record — there is no trail showing how the conclusion was reached, what evidence was weighed, or where the model was uncertain. Second, it has no mechanism for detecting its own factual errors or knowledge gaps, which means data-gap hallucinations are indistinguishable from well-supported findings. Third, it cannot demonstrate independence — the same model queried twice on a contested question will often produce consistent answers not because the facts are settled, but because the model is internally consistent.
FAR-compliant analytical work requires demonstrable process. AI Consensus provides that process in the form of Phase 1 independent position generation, Phase 2 cross-model conflict detection and attribution, and Phase 3 BLUF-formatted synthesis with a quantitative confidence measure.
The AI Consensus audit trail consists of four documented layers: Phase 1 position transcripts (the independent response from each of seven models, uninfluenced by the others), Phase 2 cross-review records (each model's explicit statement of agreement or disagreement with other models' Phase 1 positions), conflict detection flags (automatically attributed to the dissenting model with a brief description of the nature of the dispute), and the Phase 3 BLUF synthesis with confidence score. All four layers are exportable as a Decision Memo (.md) or full PDF.
AI Consensus does not store analysis content beyond the authenticated session unless you have an account with history enabled. Export files are generated client-side and are not retained on our servers. The platform uses standard HTTPS encryption for all data in transit. No proprietary client data is used for model training.
For classified or controlled unclassified information (CUI) workflows, AI Consensus is appropriate for analysis preparation and synthesis review — it should not be used to process documents classified above the platform's authorization level. Contact us to discuss specific security requirements for your contract context.
Enterprise accounts are available with SSO, compliance documentation, and white-label configuration for client-facing deliverables. Government and defense procurement vehicle options are available on request — contact us to discuss GSA Schedule or other procurement mechanisms appropriate for your contract vehicle. Minimum enterprise commitment is three months.
Government and defense pricing is scoped per engagement. We'll scope a pilot to your specific use case and contract context.
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