AI needs more than your data. It needs to understand your organisation
Large language models are exceptionally powerful, but they do not inherently understand your organisation: who is accountable for what, how a cost centre relates to a service, which regulatory obligation applies to which process, or which organisational conditions are affecting an outcome. IXGraph supplies that missing context.
Platform Capabilities
Graph-grounded enterprise AI
AI queries can be grounded against the enterprise knowledge graph, allowing answers to use explicit organisational relationships rather than relying solely on probabilistic language-model reasoning.
Conditional reasoning
IXGraph’s conditional model connects observed organisational evidence with the conditions, patterns and themes defined within the ontology, allowing leaders to investigate why an outcome may be occurring and where those conditions exist.
From question to evidence to action
Start with a leadership question. Traverse the graph to the relevant people, systems, conditions and evidence. Identify where intervention should be considered. Then measure whether the underlying conditions change.
Traceable answers
The graph provides an evidence path behind the answer. Leaders can inspect the relationships and source information used rather than simply accepting an AI-generated conclusion.
Enterprise-controlled architecture
IXGraph is designed to operate within enterprise governance and security requirements. Customer information can remain inside the customer’s controlled environment while LumosAI provides the ontology, graph architecture, reasoning and application layers.
Designed to complement your architecture
IXGraph is an overlay, not another enterprise system that requires everything underneath it to be replaced. APIs and integration pipelines connect existing platforms while Power BI, enterprise applications and conversational AI can consume graph intelligence.
Why explainability is the new enterprise standard
Regulators, boards and operational teams increasingly demand that AI systems can be interrogated, challenged and understood. As AI takes on a greater role in enterprise decision-making, the ability to explain outputs is no longer a nice-to-have, it is a legal, regulatory and governance requirement. LumosAI is built for that world.
- Every inference is traceable to its source data – no hidden logic, no unexplained outputs.
- Causal chains are surfaced and visible, not buried in model weights or statistical correlations.
- Non-technical leaders can understand and challenge every output, building genuine confidence in AI-driven decisions.
- Governance and audit requirements are met by design with full documentation, version control and compliance reporting as standard.
IXGraph combines four things that are normally separated:
1. Enterprise ontology
A structured definition of the organisation and the relationships that matter.
2. Enterprise knowledge graph
A graph-native representation of people, systems, responsibilities, processes, finance, customers, regulation and organisational conditions.
3. Conditional reasoning
A structured method for determining which conditions, patterns and relationships are associated with the organisational question being investigated.
4. AI interface
Natural-language AI, applications, APIs and BI tools provide different ways of interrogating the same governed organisational model.
PROOF OF DEPTH
The current IXGraph organisational model incorporates:
6 organisational Constants
Intent → Strategy → Capability → Execution → Experience → Finance
12 organisational Domains
540 defined organisational Conditions
312 Patterns
92 Themes
These provide a structured organisational language against which enterprise evidence can be connected and interrogated.