Nine capabilities, one engine. Each pillar feeds the others. The graph is the spine; everything else reads from it and writes back to it.
Every employee, vendor, contract, policy, obligation, tool, integration, and workflow is a node. Every approval, dependency, exception, data flow, and ownership is an edge. Every edge carries confidence, source attribution, and temporal history.
Compares the company you describe (contracts, policies, org charts) with the company you run (actual usage, observed approvals, real data flows). Surfaces contradictions: contract says 50 seats, 127 active users detected. Policy says approval required, bypass detected. Sensitive vendor classified as low-risk, high-PII flow observed.
Why was this vendor approved? Who negotiated this clause? Why was this exception granted? Nexus preserves the reasoning chain, ingests email threads, meeting summaries, approval comments, and negotiation notes, then answers in natural language with full citations.
Spend changes, vendor additions, AI tool adoption, contract updates, security changes, workflow anomalies. A continuous pulse with cascading impact analysis: vendor outage triggers critical workflow disruption triggers customer SLA risk triggers revenue exposure triggers renewal risk.
What happens if we cancel Salesforce? What if AWS costs jump 20%? Which renewals become risky if budget drops 10%? What contracts break if we lay off 8% of engineering? Run the scenario before the change. Every simulation is a graph traversal grounded in real data.
Policy-driven playbooks that watch the graph, propose action, simulate impact, request approval, and execute, all with a guaranteed rollback path. Every autonomous action carries why, confidence, impact analysis, affected systems, and the rollback steps.
Not BI, not dashboards. A genuinely executive surface: 'show me what matters now' attention prioritization, board / investor / M&A / audit narrative modes, natural-language operational querying coordinated across legal, HR, procurement, financial, and operational reasoning agents.
Anonymized industry baselines for SaaS overlap rate, procurement efficiency, onboarding speed, tool redundancy, AI governance maturity, contract negotiation outcomes, organizational complexity. Opt-in, k-anonymous, never per-tenant attribution.
How your company actually behaves: bottleneck-heavy, approval-heavy, shadow-IT-heavy, fragmented, resilient. Archetype scoring grounded in observed graph behavior rather than self-description. Restructuring and process-simplification proposals follow.