Gap Analysis & Maturity Scorecard

Where we stand across 12 Company Brain dimensions.

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Maturity Scorecard

#	Dimension	Requirement	Status	Maturity
1	State Graph	Maintained operational state	✅ IntelligenceGraphEngine with NetworkX + multi-backend	🟢 85%
2	Ontology	Company-specific perspective	✅ ~26KB OWL ontology, OWLBridge reasoning, SKOS taxonomies	🟢 80%
3	Provenance	Who wrote, from where, with what confidence	✅ ProvenanceTracker with PROV-O alignment, read audits, trust hierarchies	🟢 85%
4	Permissions	Data-level access control	✅ DataLevelPermissions with node ACLs, classification labels, query filtering	🟢 80%
5	Concurrency	Multi-writer safety	✅ GraphConcurrencyManager with version vectors, CAS, graph locks	🟢 75%
6	Versioning	Rollback support	✅ KGVersionEngine with git-like transactions, commits, diffs	🟡 60%
7	Staleness	Temporal decay, freshness detection	✅ FingerprintManager, temporal decay, importance scores	🟡 65%
8	Action Traces	Audit trail	✅ AuditLogger + ProvenanceTracker read audits	🟢 75%
9	Multi-Tenancy	Team isolation	✅ TenancyManager with hierarchies, scoped queries, membership	🟢 75%
10	Real-Time Ingestion	Work updates brain as it happens	✅ EventStreamIngester with webhook adapters, batch processing	🟡 65%
11	Conflict Resolution	Handle contradictory writes	✅ ConflictResolver with 5 merge strategies, trust hierarchies	🟢 80%
12	Evals / Trust	Context quality validation	✅ EvalRunner, retrieval quality diagnostics, confidence calibration	🟡 60%

Post-Implementation: ~75% Company Brain maturity (up from ~50%)

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What Changed

Gap	Before	After
Concurrency Control	Session-level only (25%)	Graph-level CAS + locks (75%)
Multi-Tenancy	None (10%)	Hierarchical tenant isolation (75%)
Conflict Resolution	None (15%)	5-strategy resolver with trust hierarchies (80%)
Provenance	Partial PROV-O (65%)	Full write provenance + read audits (85%)
Event Streaming	Batch only (45%)	Webhook adapters + batch processing (65%)
Permissions	Tool-level only (55%)	Node-level ACLs + classification labels (80%)

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Remaining Gaps (Future Work)

Gap	Current State	What's Needed
Distributed CAS	In-memory version vectors	Backend-native CAS (Neo4j ACID, Redis CAS)
Event streaming runtime	Batch processing API	AsyncIO event loop with Kafka/NATS consumers
Tenant-aware OWL reasoning	Global ontology	Per-tenant ontology extensions
Provenance enforcement	Opt-in recording	Engine-level mandatory provenance on all writes
Real-time CDC	No CDC support	PostgreSQL logical replication connector

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Strategic Advantages

1. Ontology-First — We start with OWL and bolt storage underneath, not the reverse
2. Memory Is Infrastructure — SynthesisEngine + temporal decay = self-maintaining state
3. Mixin Architecture — New capabilities are additive, not rewrites
4. Multi-Backend — Postgres (pg-age) + epistemic-graph primary tier via the GraphBackend abstraction (Neo4j/FalkorDB/LadybugDB available under backends/contrib/)
5. 5-Pillar Ecosystem — Only architecture where the substrate integrates orchestration, self-improvement, ecosystem sensors, and governance