SmartRecall proprietary working model
The Enterprise Fact Layer is a client-confirmed governance baseline. It connects material information to its sources, languages, entries, owners and update rules so downstream work can use traceable inputs.
A proprietary working model, not a certification, industry standard or universal source of truth.
Every layer has inputs, work, outputs, evidence and limits
The Enterprise Fact Layer is a client-confirmed governance baseline. It connects material information to its sources, languages, entries, owners and update rules so downstream work can use traceable inputs.
The Enterprise Fact Layer is a client-confirmed governance baseline. It connects material information to its sources, languages, entries, owners and update rules so downstream work can use traceable inputs.
Inputs include source documents, client confirmation, public-entry inventory, language variants, owners and update history.
Work includes inventory, normalisation, classification, version control, ownership mapping and deployment-field preparation. Outputs include an approved baseline, entry scope, evidence references and update rules.
Each record is checked before entering a fact layer that can be deployed, observed and updated.
Input: formal names, brand forms, relationships and languages. Work: normalise and qualify usage. Output: approved identity fields.
Source-supported Source, confirmer, date, version and prohibited variants.
Applicable scope Reflects only current information supplied and confirmed by the client.
Input: service material, operational confirmation and exceptions. Work: define offer, audience, conditions and exclusions. Output: reusable service definitions.
Source-supported Definition fields, qualifiers and approval records.
Applicable scope Does not turn market ambition into delivered capability.
Input: documents, approvals and publishable references. Work: connect statements to sources and applicable scope. Output: an evidence reference map.
Source-supported Source class, date, owner and validity state.
Applicable scope Evidence supports a defined statement; it does not prove every related claim.
Input: websites, directories, public pages and access states. Work: compare fields and define actions. Output: a Named Entry Schedule.
Source-supported Exact URL or reference, observed value, action and state.
Applicable scope Covers only agreed, accessible entries present at the time of observation.
Input: change requests, conflicts and approval rules. Work: manage state, priority, exception and version. Output: decision and change records.
Source-supported Approval trail, variance rationale and version history.
Applicable scope Cannot replace client authority or legal review.
Input: roles, trigger events and review needs. Work: assign owners, confirmation routes and maintenance rules. Output: responsibility and update arrangements.
Source-supported Owner, trigger, next action and unresolved item.
Applicable scope Execution depends on confirmation, access and third-party handling.
Define the field and its business meaning.
Retain the source document or accountable confirmation.
Name the market, language, service or other context.
Draft, pending, approved, superseded or retired.
Assign confirmation and update responsibility.
Record date and version.
List agreed named entries only.
Connect service, policy, identity or entry changes.
Actual operations, services, identity, locations, contacts and limits, confirmed by accountable people inside the business.
Turns confirmed reality into a baseline with fields, sources, languages, versions, owners and update rules.
Websites, named entries, third-party information, approvals and governance support verifiability.
Search, platforms and AI systems produce observable results using their own data, rules, timing and context.
People compare and decide from what they receive. SmartRecall does not control that outcome.
SmartRecall improves information continuity; it does not describe upstream work as a causal channel for controlling downstream systems or users.
Record a proposed value, source and open questions without treating it as the public baseline.
An accountable owner confirms content, scope, language and effective date.
Wording, entry, permissions and risk have passed the required confirmation.
Separate prepared, submitted, accepted, rejected, delayed and unknown states.
Check the visible state on a defined date without treating one observation as permanent.
Retain the historical relationship and replacement version so old information does not become current again.
Every material fact has its own lifecycle. Draft: Record a proposed value, source and open questions without treating it as the public baseline.. Confirmed: An accountable owner confirms content, scope, language and effective date.. Approved for publication: Wording, entry, permissions and risk have passed the required confirmation.. Deployed / awaiting third party: Separate prepared, submitted, accepted, rejected, delayed and unknown states.. Observed: Check the visible state on a defined date without treating one observation as permanent.. Superseded / retired: Retain the historical relationship and replacement version so old information does not become current again.
Content only
Without evidence, entries and owners, the content can quickly lose currency.
Fact Layer
Fields, sources, entries, approvals and triggers form a maintainable record.
Completeness comes from the connections between layers. Know what to say: Without evidence, entries and owners, the content can quickly lose currency.. Know why, where, who and when: Fields, sources, entries, approvals and triggers form a maintainable record.
Next, see how ATA organises variance, observation and corrective work under human review.