BoardAiQ is your AI virtual board member: ask a strategic question in plain language and a dozen specialist agents reason over your own knowledge graph, then a CXO persona synthesises one board-ready recommendation — verified, sourced, and tuned to your seat. Every claim is confidence-scored and cited; low-confidence or conflicting outputs route to a human reviewer.
Consequential calls — capital allocation, M&A, the value-creation plan — are made on board packs that took weeks to compile and were stale by meeting day, with recommendations no one can trace back to their source.
Every sub-agent runs the same disciplined cycle against your grounded knowledge graph, and nothing reaches the table until it has passed four verification checks.
Agents pull grounded facts from your per-tenant knowledge graph and live connectors — every fact carries its source.
Domain specialists run calculations and analysis frameworks — tools and skills — to reason toward an answer.
Source, numerical, completeness and consistency checks run before delivery; confidence is scored on every claim.
Gaps trigger another pass; low-confidence or conflicting output routes to a human-in-the-loop reviewer.
Recommendations tie back to enterprise value via the built-in EVA framework.
BoardAiQ is a multi-agent decision-intelligence application — not a chatbot and not a single-model copilot. A LangGraph orchestrator classifies the question, dispatches the right specialists in parallel, and routes their findings to a persona synthesiser.
Finance, strategy, risk, operations, compliance, sales, marketing, technology, legal, industry research, ESG and M&A — each grounded in the knowledge graph, citing its sources and scoring its own confidence. New agents are added by configuration, not re-architecture.
A persona agent merges every specialist's findings into one recommendation, resolves conflicts, and frames language and priorities to your seat. Eight presets ship — CEO, CFO, COO, CTO, CHRO, CIO, CBO and Board Chair — with per-persona memory across a session.
A typed Neo4j graph — 20+ node labels, 32 relationship types — built from your documents and data, with temporal reasoning across periods and a source-of-truth hierarchy that resolves conflicting facts by source authority.
Before delivery, every recommendation passes source-check (do the cited nodes exist and support the claim), numerical-check, completeness-check and consistency-check. Verification is first-class, not an afterthought.
A confidence scorer (grounded / inferred / speculative), a source-citation enforcer, a scope-boundary classifier that rejects out-of-scope and prompt-injection inputs, and a four-level kill switch for operator control.
Session mode is real-time strategic Q&A with agents streaming their work live in the Neural Command Center. Board Prep generates asynchronous, per-agenda-item intelligence briefs — with anticipated board questions.
A 60+ tool catalog (DCF, covenant, working-capital, PE metrics, the EVA calculator and more) and 27+ analysis skills (Porter's, LBO, Monte Carlo, EU Taxonomy). Live connectors to SEC EDGAR, market data and financial news, extensible via the persona workbench.
Record board decisions against recommendations and update realised outcomes — closing the learning loop. The built-in EVA engine computes NOPAT, WACC, ROIC and Enterprise Value Added, and renders a value-creating / value-destroying verdict.
Production architecture: per-tenant Neo4j isolation, SSO-only login (Keycloak RS256), 8-role RBAC, an immutable Neo4j audit trail, input sanitization and GDPR export / erasure — all verified in code on main. Benchmarked latency, broader legal/research connectors and deep PDF-to-graph extraction are on the near-term roadmap (coming soon).
These are engineering and architecture facts — the scale of what BoardAiQ does, not a customer outcome. Business-value and latency figures are framed as capability and design targets; no realised client benchmark is claimed, and no client is named.
BoardAiQ compresses cross-functional analysis from weeks to seconds while making the reasoning auditable.
Engineering signals: 18 API routers across 100+ REST and WebSocket endpoints; 20+ knowledge-graph node labels and 32 relationship types; 60+ tool definitions and 27+ analysis skills. For a PE-backed mid-market company; no PE firm, portfolio company or client is named — any reference is illustrative.
BoardAiQ runs as SaaS on Amplinth's AWS, in any cloud, or in your own cloud / VPC. Every tenant gets an isolated Neo4j database with context-scoped data access, so there is zero cross-tenant leakage — governance and isolation are there from day one, built for regulated PE and mid-market buyers. SOC 2 / ISO 27001 / GDPR posture is designed-in; confirm certification status per deployment.
Twelve coordinated specialists plus a CXO synthesiser that resolves conflict and surfaces dissent rather than averaging it away — against single-model copilots that give you one voice and no provenance.
Four-stage verification, confidence scoring (grounded / inferred / speculative) and mandatory source citation. Click any agent in the Neural Command Center to see its reasoning type, confidence and the exact graph nodes behind every claim.
Enterprise Value Added is built into the finance agent, so capital-allocation and M&A recommendations are quantified against cost-of-capital — not just narrated. The "Prove" beat, native.
Book a walkthrough of the Neural Command Center: a dozen agents reasoning live over a knowledge graph, the verification and dissent panels, and an EVA-quantified, board-ready recommendation with every claim sourced.