1. Source
  2. Confirm
  3. Deploy
  4. Observe
  5. Update

Enterprise Fact Layer

Establish a verifiable fact layer before AI searches, compares or summarises your business.

SmartRecall turns client-confirmed information scattered across documents, websites, directories and languages into a governed enterprise baseline with sources, owners, versions and deployment boundaries. It is upstream of SEO, GEO and external presentation.

Every work item is recorded with its source, date, owner and named entry point.

Scattered signals converging along evidence threads into an enterprise fact core
Seven stages connect business reality to user understanding, with different responsibilities at each stage

SmartRecall concentrates on the confirmable, recordable and deployable stages, while making the boundary around external systems and user decisions explicit.

How information moves

Source-supported

Seven stages connect business reality to user understanding, with different responsibilities at each stage

SmartRecall concentrates on the confirmable, recordable and deployable stages, while making the boundary around external systems and user decisions explicit.

01 Source-supported

Business reality

What the organisation provides, for whom and under which conditions.

02 Source-supported

Confirmed facts

Responsible people confirm names, services, qualifications, scope, versions and exceptions.

03 Source-supported

Trust and evidence

Each material statement is linked to a source, owner, date and approval record.

04 Working framework

Structured deployment

Controllable updates are prepared for agreed entries, fields and language versions.

05 Applicable scope

External information systems

Search, directories, platforms and other public systems process information under their own rules.

06 Working framework

Observable AI presentation

Public outputs are recorded in dated, scoped scenarios without inferring model internals.

07 Applicable scope

User understanding and choice

Final judgement belongs to users and the wider context; it is not a SmartRecall-controlled outcome.

The SmartRecall Information Chain is an explanatory model. It is not a direct pipeline into any third-party model.

Source-supported

Reduce unmanaged variance across business information

Reduce unmanaged variance across business information Reduce unmanaged variance across business information
  • 01

    Unmanaged

    Scattered records and competing versions

    The same service is rewritten across websites, profiles, directories and languages, with no rapid way to identify the approved version.

    Boundary
    When an external error appears, its source can be difficult to trace.
  • 02

    Governed

    One traceable, maintainable baseline

    Material fields carry a source, owner, date, status and context. Deployment is limited to agreed entries.

    Work evidence
    Inspect version history, source references, approval states and deployment records.

Reduce unmanaged variance across business information. Scattered records and competing versions: The same service is rewritten across websites, profiles, directories and languages, with no rapid way to identify the approved version. When an external error appears, its source can be difficult to trace.. One traceable, maintainable baseline: Material fields carry a source, owner, date, status and context. Deployment is limited to agreed entries. Inspect version history, source references, approval states and deployment records.

Why address it now

Source-supported

More entries, accumulated versions and ownership gaps make variance harder to trace

The cost often appears later: confirmation, coordination and correction take more work once inconsistent versions have spread.

01

Entries keep multiplying

Every website, directory, profile and partner page may retain a different version.

02

Languages are not word swaps

Without a shared baseline, scope, tone and qualifiers can move during localisation.

03

Responsibility is distributed

Marketing, operations, sales and management may each hold part of the answer without one confirmation point.

04

External outputs vary

Public presentation changes by time, context and system version and can only be observed within a defined scope.

Core working model

Source-supported

Six governed layers turn what the organisation knows into something it can maintain

Identity, service, evidence, entry points, governance and update responsibility form the SmartRecall Enterprise Fact Layer.

01

Identity Layer

Confirms names, roles, relationships and language forms.

02

Service Definition Layer

Defines the service, audience, conditions and exclusions.

03

Evidence Layer

Connects sources, dates, approvals and applicable scope.

04

Entry-Point Layer

Names the websites, directories or public pages included in the work.

05

Governance Layer

Manages status, versions, exceptions and change decisions.

06

Update Responsibility Layer

Assigns owners, triggers and review arrangements.

Explore the Enterprise Fact Layer

Proposed proprietary working framework

Working framework

ATA connects baselines, variance, observation and correction through human review

Adaptive Truth Alignment System (ATA) is a proposed SmartRecall proprietary operational and observational framework. It is not a deployed platform, an industry standard or model-control technology.

01

Register the baseline

Record approved meanings, language versions, owners and evidence.

02

Map consistency

Compare omissions, stale values and conflicts across named sources.

03

Classify signals

Apply an internal classification based on ownership, evidence relationship and update control.

04

Detect narrative variance

Compare material meaning after summary, translation and repetition.

05

Observe answer states

Record public outputs as dated, contextual samples.

06

Schedule corrective deployment

Approve controllable changes and schedule re-observation.

See the full ATA boundary

Working framework

Three phases, six accountable steps

01

Phase I

Fact establishment

Audit and Confirm: find existing statements and place confirmation with the right owner.

02

Phase II

Structured deployment

Structure and Publish: prepare fields and language versions, then act only on agreed entries.

03

Phase III

Observability and maintenance

Verify and Maintain: retain visible evidence, handle exceptions and update on trigger.

See the delivery method

Source-supported

Each delivery leaves inspectable work evidence

Each delivery leaves inspectable work evidence
ItemDetailWork evidence
Confirmed fieldsEach material fact has a state, owner, date and applicable context.Baseline register and version history
Named-entry recordsEach in-scope entry has an observed value, action, exception and current state.Entry schedule and deployment record
Variance and decisionsMaterial differences carry a comparison, rationale, confirmation and next action.Variance record and approval trail
Maintenance ownershipChange triggers, next review and unresolved limits have clear ownership.Evidence Cadence Ledger

Each delivery leaves inspectable work evidence. Confirmed fields: Each material fact has a state, owner, date and applicable context. Baseline register and version history. Named-entry records: Each in-scope entry has an observed value, action, exception and current state. Entry schedule and deployment record. Variance and decisions: Material differences carry a comparison, rationale, confirmation and next action. Variance record and approval trail. Maintenance ownership: Change triggers, next review and unresolved limits have clear ownership. Evidence Cadence Ledger

Source-supported

Two clear plans make governance depth, maintenance cadence and defined deliverables explicit

01

Starter

Establish a clear starting point

For organisations that first need to define core facts, priority entries, ownership and material variance.

02

Professional

Establish continuing governance

For organisations with more entries, languages, confirmation paths and ongoing observation needs.

The monthly fees, commitments, update cadence, reporting, reviews and support shown here come from the current approved plans. Named entries follow the formal service schedule.

Compare the full service scope

Plans

Choose the collaboration rhythm that fits

Both plans cover the same named core entry points listed in the service schedule. The main differences are commitment, update and review cadence, reporting depth, support channels and platform exploration.

Starter

HK$3,250/month

3-month commitment Committed service value HK$9,750

For teams with a focused entry-point set, a steady update pattern and primarily client-reported issues.

  • Monthly update
  • Summary monthly action report
  • Email support
  • First response target within 1 business day
Prepare a Starter plan intent
Source-supported

Organise knowledge by source and status

The Knowledge Centre distinguishes source-supported knowledge, scoped observations, SmartRecall working frameworks and hypotheses that still require evidence.

External practice is cited only to explain provenance, structured data and governance. A citation never implies endorsement of SmartRecall.

Read the latest insights

Applicable scope

Find the facts that matter most, then set the scope

The initial assessment organises fact, entry-point, language and ownership gaps locally. It connects to no live system and transmits none of the input.

SmartRecall can improve the conditions for clear external understanding. It cannot guarantee indexing, ranking, citation, recommendation, traffic, revenue or an answer change.

Start the local assessment

Turn what the organisation knows into a baseline others can verify.

Begin with a bounded assessment of the most material fact, entry-point and ownership gaps.