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Platform under development

SIMOR, the Intelligent Revenue Mobilization System

SIMOR is designed to help revenue administrations integrate data, generate intelligence, identify risks and translate insights into coordinated operational action.

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Revenue intelligence is scattered across the administration

Key information about taxpayers and economic activity sits in separate systems and institutions. The result is a fragmented view, limited intelligence and reactive interventions.

Five layers, one platform

  1. Sources

    Tax administration, customs, treasury, registries and other authorized third parties.

  2. Integration

    APIs, file exchanges, schema and quality checks, identity matching, history and provenance.

  3. Intelligence

    Rules, analytics, models, scores, explanations and version tracking.

  4. Applications

    Taxpayer profiles, case lists, audit, collection, forecasting and dashboards.

  5. Users

    Officers, analysts, managers and administrators, each according to their rights.

Cybersecurity, confidentiality, logging and human control apply across every layer.

Data flows from authorized sources through an integration layer, then an intelligence layer, into applications used by officers. Cybersecurity, confidentiality, logging and human control apply across every layer. This diagram is conceptual: it does not describe any installed connector or client deployment.

Interoperability requires agreed data-sharing frameworks, a common identifier or matching rules, and clear governance of access rights.

Seven capabilities across the revenue lifecycle

Each capability shows its current status. None is presented as operational unless it can be demonstrated.

  • Status In development

    Taxpayer 360°

    A consolidated profile per taxpayer, with sources, history and alerts.

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    Data inputs
    Identity and tax ID, obligations, declarations, payments, customs operations and other legally accessible data.
    What the officer sees
    A summary with Sources, History and Alerts tabs; the officer opens the file and checks each match.
    Limits
    Shows gaps, freshness and provenance; missing information is flagged, not guessed.
  • Status In development

    Risk Intelligence

    Risk identification and segmentation from business rules and indicators.

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    What the officer sees
    A sortable list of cases with explanatory factors, data quality and calculation date.
    Limits
    Statistical models are used only if validated; every score can be re-examined.
  • Status In development

    Fraud Detection

    Inconsistencies and unusual relationships across declarations, payments and trade.

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    What the officer sees
    A detailed signal with sources and documents to verify, before any authorized examination.
    Limits
    Distinguishes anomaly, hypothesis and established fraud. No automatic accusation.
  • Status In development

    Intelligent Audit

    Support for selecting, preparing and following up audits.

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    What the officer sees
    An audit queue, a contextual case file and a decision log.
    Limits
    Decisions remain with authorized officers.
  • Status In development

    Collection Intelligence

    Tracking of assessments, payments, arrears and recovery actions.

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    What the officer sees
    A recovery portfolio prioritized by amount, age and likelihood of recovery.
  • Status In development

    Revenue Forecasting

    Forecasts from historical series, seasonality and adjustable assumptions.

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    What the officer sees
    Actual versus forecast charts, assumptions, gaps and validated exports.
    Limits
    Scenarios and uncertainty ranges are always shown.
  • Status Planned

    Performance Intelligence

    Results dashboards with traceable indicator definitions.

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    What the officer sees
    Filters by period, unit and segment; each KPI shows how it is calculated.

A taxpayer declares declining turnover…

Fictional example showing the operational sequence and human controls.

  1. Observation

    Data and processing

    A declaration shows a sharp drop in turnover; authorized customs or payment data is available.

    Visible output and safeguard

    Dated context, with period, provenance and data quality shown.

  2. Matching

    Data and processing

    Identity is verified, periods and indicators are compared, methodological differences are taken into account.

    Visible output and safeguard

    A reasoned signal with a confidence level, without automatic fraud qualification.

  3. Review

    Data and processing

    An officer checks source, tax ID, duplicates, errors, economic events and plausible explanations.

    Visible output and safeguard

    Case assigned, observations recorded, possibility to close without action.

  4. Decision

    Data and processing

    Depending on competence and procedure: closure, information request, desk audit or other authorized action.

    Visible output and safeguard

    Human decision, legal basis and action history recorded.

  5. Feedback

    Data and processing

    Results and data corrections feed performance tracking and rule adjustments.

    Visible output and safeguard

    Separate indicators: signal, case examined, amount assessed, amount collected.

Progressive deployment, alongside existing systems

SIMOR is designed to complement the systems an administration already runs, not replace them. Deployment starts with a limited scope and a few priority sources, then expands as results and data quality are confirmed.

Limits and human control

SIMOR produces signals and priorities, not decisions. Every action on a taxpayer is taken by an authorized officer, within the administration's legal framework, and recorded.

Interested in exploring SIMOR for your administration?

Let's discuss how SIMOR could help you integrate data, identify risks and coordinate action.

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