Use Cases

Discover how TrustGraph transforms AI capabilities by connecting knowledge into reasoning-ready graphs.

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Enterprise Knowledge & Ops

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Unified Enterprise Knowledge Hub

Aggregate wikis, PDFs, tickets, emails, and databases into a single knowledge graph so agents can answer questions that span multiple systems.

  • Use graph-anchored retrieval to reduce hallucinations and show reasoning paths back to specific entities
  • Break down data silos by connecting fragmented information across your organization
"What's the impact of deprecating Service X on Customer Y?"
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Context-Aware Internal Assistant

Build an internal AI assistant that understands org structure, systems, projects, and ownersβ€”not just text snippets.

  • Let agents traverse relationships (teams β†’ services β†’ incidents β†’ SLAs) for richer answers
  • Provide more actionable responses than standard enterprise search
"Who owns the payment service and what incidents has it had this quarter?"
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Platform & Multi-Tenant Scenarios

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Agent Platform for SaaS Vendors

Let SaaS vendors embed TrustGraph as the "knowledge layer" for their own agents, with per-tenant knowledge cores and strict isolation.

  • Run multiple agent workflows (support, analytics, recommendations) in parallel on one cluster
  • Native multi-tenancy with isolated namespaces and security boundaries
Each customer gets their own knowledge core with zero cross-contamination
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Institutional Knowledge Preservation

Capture and structure expert knowledge into graphs before attrition, enabling "expert agents" that outlive staff changes.

  • Provide transparent reasoning over preserved knowledge
  • Build trust with non-technical stakeholders through auditable responses
"Based on patterns from 15 years of incident data and 3 senior engineers' documented decisions..."
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Customer-Facing Support & CX

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Graph-Powered Support Copilot

Connect product docs, incident postmortems, release notes, and customer history into a support knowledge graph for precise, context-aware responses.

  • Use the graph to explain "why" an answer is given
  • Link workarounds to affected versions and impacted customers automatically
"This issue affects versions 2.3–2.5 and 47 customers on those builds"
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Customer 360 Reasoning Agent

Build agents that reason over customers, contracts, tickets, usage metrics, and entitlements as connected entities.

  • Answer complex multi-hop questions about customer relationships
  • Identify at-risk accounts by traversing support history, usage patterns, and contract terms
"Which strategic customers are at churn risk due to unresolved P1 issues linked to recent architectural changes?"
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Security, Risk & Compliance

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SecOps Graph Intelligence

Use knowledge cores to represent users, hosts, alerts, detections, and threat intel across tenants, then let agents correlate them to uncover security vulnerabilities.

  • Connect disparate security signals into unified threat graphs
  • Enable analysts to ask natural language questions about security posture
"Which hosts with admin access have anomalous login patterns linked to known threat actors?"
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Regulatory & Control Mapping

Model regulations, policies, controls, systems, and evidence as a graph so agents can map compliance obligations to your infrastructure.

  • Use graph embeddings to support legal workflows like mapping new legislation to existing obligations
  • Identify compliance gaps automatically when regulations change
"Which controls and assets are impacted by this new regulation section?"
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Security Questionnaire Responder

Build a questionnaire/RFP responder over a graph of policies, controls, architecture diagrams, and audit evidence.

  • Reduce hallucinations by grounding answers in your actual security posture
  • Show exactly which artifacts and relationships support each answer
"Answer supported by: SOC2 Report Β§4.2, Architecture Diagram v3, Encryption Policy Rev.12"
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Finance, Strategy & Research

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Corporate Finance & M&A Copilot

Represent companies, deals, financial statements, covenants, and scenarios as a graph so agents can explore complex "what if" questions.

  • Support target screening, synergy analysis, and risk assessment
  • Traverse relationships instead of reading isolated files
"What are the covenant implications if we acquire Company X given our current debt structure?"
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Market & Competitive Intelligence

Connect market data, competitors, product lines, customers, and news for agents that reason about trends and strategic options.

  • Identify competitive threats by connecting product launches, partnerships, and market movements
  • Enable strategic planning with relationship-aware analysis
"Which competitors are encroaching on our top segments given recent feature launches and partnerships?"
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R&D and Knowledge Discovery

Turn research papers, patents, and lab notes into a research knowledge graph where agents identify non-obvious links across projects.

  • Run "research-flow" pipelines in isolated namespaces so teams can experiment safely
  • Discover connections between methods, findings, and applications
"Which techniques from Project A could accelerate the blocked work in Project B?"

Why Graph-Based Context Matters

Traditional RAG approaches rely on vector similarity alone, which can miss critical relationships. TrustGraph’s GraphRAG approach:

  • Shows reasoning paths β€” Trace answers back to specific entities and relationships
  • Enables multi-hop questions β€” Answer queries that require traversing multiple connections
  • Reduces hallucinations β€” Ground responses in verified knowledge structures
  • Supports complex queries β€” Handle β€œwhat if” scenarios and impact analysis that span systems

Getting Started

Ready to build knowledge-powered agents? Start with our Quickstart Guide to deploy TrustGraph and begin connecting your enterprise knowledge.