A deterministic, minimal resolver is outlined as a control layer: validate fields, filter for authoritative, fresh assertions, ensure policy permits action, assess consequences, and escalate if needed; the output includes blocking assertions and an action trace.

In an enterprise AI use case, CRM data from multiple systems (CRM, billing, support, consent, territory) can be true in isolation but conflict when guiding automated actions, risking incorrect outreach or other actions.

Six conflict types—identity, temporal, authority, policy/consent, lifecycle, and derived metric—explain why a single record view may hide critical disagreements and how to resolve them without overwriting evidence.

A FAQ and disclosure clarify the scope and independence of the analysis, referencing sources from HubSpot APIs to W3C PROV/SHACL and NIST guidance.

The author proposes the Assertion Conflict Graph as a control layer that captures assertions about entities, their sources, provenance, and policy context to prevent hallucination-like resolution failures.

No single source of truth suffices; the system should compose authoritative assertions with provenance and rules to enable safe, governed decisions rather than flattening data into one reality.

Metrics to monitor effectiveness include unresolved conflict rate, stale assertion rate, conflicting-authority rate, blocked agent actions, human resolution time, repeated conflict rate, and post-action contradiction rate.

Implementation path suggests starting a control layer alongside the CRM, focusing on ingestion, provenance, conflict detection, deterministic resolution, traceability, and learning without erasing disagreements.

A worked revenue scenario shows a correct outcome: even with high signals, outreach is stopped due to consent and an open severity-one case, with structured output detailing the decision, allowed actions, blocking assertions, owner resolution, and review needs.

Key components include assertion nodes, typed edges (same_entity, contradicts, supersedes, derived_from, allowed_by), and gates (identity, authority, freshness, policy, consequence) that drive deterministic resolution before any action.