Public reference document

Protocolo Nacional de Información Económica y Contable

A shared infrastructure for recording an economic transaction or event once and converting it, under human oversight, into accounting, tax compliance, management and business intelligence.

PNIECNational intelligent ERP systemEnglish edition
01 · Introduction

From administrative fragmentation to a shared economic infrastructure

Today, a company records essentially the same reality in its ERP, accounting records, tax returns, financial reports, spreadsheets and management systems. Each repetition raises costs, introduces errors and separates the information from the moment in which it arose.

Traditional ERP systems organize processes, but they often require the company to adapt its language to the system. PNIEC reverses that relationship: it starts from the economic event expressed by the user and generates every necessary representation without capturing it again.

Comparison between the fragmented model and PNIEC
Fragmented modelPNIEC model
Record several timesRecord once
Think in accounts and formsDescribe what happened
Data for complianceData for compliance and decision-making
Isolated systemsOne economic event with multiple uses
Delayed diagnosisCurrent and comparable information
01

Record once

02

Use many times

03

Explain before accounting

04

Help before controlling

02 · Basic unit

What is an economic transaction or event?

It is an occurrence that changes, or may change, a company’s economic position and can be described through verifiable data: what happened, when it happened, the amount involved, the counterparty, how it was paid and the accompanying conditions.

Basic

A sale for which payment has been received

Product, quantity, price, tax, customer and payment method.

Compound

A financed machine

Asset, down payment, debt, interest, useful life and tax effect.

Automatic

Depreciation

Derived from an earlier economic event according to rules, a schedule and review.

Verifiable data describing the fact
Unit of recordECONOMIC
FACT
01Subject
02Time
03Amount
04Counterparty
05Payment method
06Purpose
03 · General architecture

One economic event, six coordinated layers

From the original record to explainable and auditable information
  1. 1

    Capture

    Text, voice, integration or guided form.

  2. 2

    Interpretation

    Extraction of entities, intent and context.

  3. 3

    Classification

    Economic, accounting, tax and functional nature.

  4. 4

    Validation

    Rules, consistency, uncertainty and confirmation.

  5. 5

    Generation

    Entries, obligations, statements and indicators.

  6. 6

    Data persistence and audit trail

    Original event record, versions, responsible parties and traceability.

Coordinated uses of the same economic event
  1. 1Capture
  2. 2AI
  3. 3Accounting
  4. 4Tax compliance
  5. 5Management
  6. 6Benchmarking
  7. 7Diagnosis
  8. 8Recommendations
04 · Interaction

Conversational capture and intelligent confirmation

Description → clarification → confirmation → economic structure
01 · The business owner describes

“I bought a machine for 80,000 monetary units. I paid 20,000 and financed the rest.”

02 · The system interprets and asks

I understand this as an acquisition of a fixed asset with a partial payment and financing. Does the amount include VAT? What is its estimated useful life?

03 · The business owner confirms

“It does not include VAT. I will use it for eight years.”

Guided mode

Simple questions, one decision at a time

Designed for users without accounting expertise. It presents understandable options, explains consequences and requests only relevant data.

Expert mode

Complete transactions in natural language

Allows dense instructions to be dictated or written. AI extracts the structure and requests confirmation only when uncertainty is material.

05 · Economic model

Classify by the company’s reality, not only by the chart of accounts

Assets

Controlled resources: cash, inventories, equipment, rights and other productive means.

Liabilities

Obligations to suppliers, employees, financial institutions and public authorities.

Equity

Contributions, reserves and accumulated earnings attributable to owners.

Income and expenses

Flows that explain how profit or loss is formed during a period.

Variable costs

Change with volume, units produced or commercial activity.

Fixed costs

Remain relatively stable within an operating range.

Mixed costs

Combine a fixed base with an activity-related component.

Centers and functions

Production, sales, administration, management, human resources and technology.

Employees and productivity

Internal identifiers, function and percentage allocation

The analytical engine may associate each person with functions, cost centers and fixed or variable percentages without displaying their name. This makes it possible to analyze payroll and productivity while reducing the exposure of personal data.

06 · Automatic generation

Accounting and tax compliance arise from the same validated economic event

One validated economic event generates three coordinated representations
Shared sourceValidated eventMachine purchase
Representation 01AccountingEntry, journal, ledger and balance sheet
Representation 02Tax reportingVAT, tax base, obligations and calendar
Representation 03ManagementCash, debt, depreciation and productivity

Automatic accounting

The engine proposes debits and credits, updates the journal and general ledger, and preserves the relationship between the entry and the original economic-event record. A correction does not erase history: it creates an auditable version.

Automated tax compliance

It applies the rules in force according to jurisdiction, date and the nature of the transaction; calculates tax bases and taxes; and prepares tax obligations subject to review. Rules must be versioned whenever regulations change.

Financial statements

The balance sheet, income statement and cash-flow statement are updated from consistent records, with the ability to navigate from a total to the economic event that originated it.

07 · Information generated

Indicators with definitions, context and limits

Cash flow

Explains where cash comes from and where it goes. It distinguishes operating, investing and financing activities in order to anticipate treasury pressures.

Working capital

Measures the portion of permanent funding that finances current assets. It helps explain short-term operating capacity.

EBIT

Earnings before interest and taxes. It shows the result of operations without combining it with the financing structure or tax effects.

EBITDA

Earnings before interest, taxes, depreciation and amortization. It approximates operating generation before the accounting consumption of assets.

ROA

Relates earnings to the assets employed and indicates how much return the company’s economic base produces.

ROE

Relates earnings to contributed and accumulated equity. It must be read together with leverage and risk.

Liquidity

Examines the ability to meet upcoming obligations without confusing accounting solvency with immediately available funds.

Business valuation

Builds an indicative estimate from earnings, cash flows, assets, risk and comparables; it never replaces a professional valuation.

Editorial and analytical rule: no indicator should be displayed in isolation. It must include the period, formula, source, comparator and any warnings needed for interpretation.

08 · Comparability

Three levels of benchmarking, always using aggregated data

Conditions for comparisonAggregated dataAnonymizationComparable methodologyNo individual data
01

Historical

Compares the company with itself to identify trends, seasonality, improvements and deterioration.

02

Sectoral

Compares similar companies by activity, size and context, displaying percentiles and sample size.

03

National

Places indicators within the economy as a whole and contributes timely statistics for public policy.

Relative position within an aggregated distribution
Lower relative positionHigher relative position
25th percentile
Your company
Sector median
75th percentile

The company knows its position; it cannot access identifiable records belonging to other companies.

09 · Diagnosis and AI

From a symptom to explainable hypotheses

The diagnosis organizes evidence and proposes hypotheses; it does not assert causality
Observed symptomMargin below the sector
Variables tested by the system
Average selling price
Variable cost per unit
Fixed costs/sales
Sales/assets
Sales/sales personnel costs
Explainable hypothesis · Recommendation example
“The difference from the sector appears to be associated primarily with purchasing costs. The evidence is moderate: review supplier terms and inventory composition before making a decision.”
RationaleConfidence levelData usedHuman oversight
1

Interpret and extract information

2

Ask when relevant uncertainty exists

3

Explain classifications and recommendations

4

Preserve the trail of data, rules and versions

5

Allow correction and human oversight

10 · Institutional trust

Privacy, anonymization and governance

Data minimization

Collect and expose only the data needed for a defined purpose.

Internal identifiers

Separate operational identity from analysis whenever possible.

Anonymization

Reasonably reduce the risk of re-identification before external analysis.

Aggregation

Publish comparisons only when groups and samples are sufficiently large.

Access control

Assign permissions by function, purpose and demonstrable need.

Audit

Record queries, changes, models, rules and responsible parties.

AI governance

Assess accuracy, bias, drift, explainability and appeal mechanisms.

Regulatory governance

Version tax and accounting rules and document when they are in force.

11 · Impact

Infrastructure that benefits three systems

Companies
  • Lower administrative burden
  • Order and verifiable reputation
  • Diagnosis and comparisons
  • Valuation and simulation
  • Better decisions
The State
  • Higher-quality statistics
  • Near-real-time information
  • Greater efficiency and less fraud
  • Better public-policy design
  • Fewer redundant forms
Financial system
  • Standardized information
  • Lower analysis costs
  • Better risk assessment
  • Timely monitoring
  • Greater access to credit
12 · Use cases

Three complete journeys

1Describe2Interpret3Validate and generate4Update5Outcome
Case 01

Purchase of a financed asset

  1. Describe

    The user describes the machine, amount and financing.

  2. Interpret

    AI identifies the asset, debt, VAT and useful life.

  3. Validate and generate

    The entry, cash, debt and depreciation are generated.

  4. Update

    Statements and indicators are updated.

  5. Outcome

    The system explains the effect on liquidity, ROA and leverage.

Case 02

Sale followed by collection

  1. Describe

    The product, quantity, price and customer are recorded.

  2. Interpret

    PNIEC recognizes revenue, tax, cost and inventory.

  3. Validate and generate

    The receivable and its due date are created.

  4. Update

    Upon collection, the invoice is reconciled and cash is received.

  5. Outcome

    The margin and cash cycle are compared with the sector.

Case 03

Hiring an employee

  1. Describe

    The function, cost center and terms are defined.

  2. Interpret

    An internal identifier and functional allocation are created.

  3. Validate and generate

    Payroll generates expenses, obligations and payments.

  4. Update

    Productivity is analyzed in aggregate.

  5. Outcome

    The company reviews sales relative to payroll without exposing identities.

13 · Implementation

Gradual, interoperable and measurable adoption

Phase 1

Small companies

Guided mode, frequent transactions and basic obligations.

Phase 2

Medium-sized companies

Cost centers, integrations, analytics and migration.

Phase 3

Large companies

ERP interoperability, data governance and high volume.

Phase 4

Public authorities

Aggregated statistics, versioned rules and public services.

Implementation risks and essential mitigations
RiskEssential mitigation
Data qualityValidation, reconciliation, metrics and assisted correction.
AI errors or biasTesting, oversight, explainability and automation limits.
Insufficient comparabilityTaxonomies, minimum samples and public methodology.
Regulatory changesVersioned rules, explicit effective dates and expert review.
Resistance to changeProgressive migration, training and visible benefits from the outset.
14 · Frequently asked questions

Technical and institutional questions

Is PNIEC a chart of accounts?

No. It is a protocol centered on economic events that can generate accounting representations compatible with applicable rules and charts of accounts.

Does it replace the accountant?

No. It automates tasks and provides traceability, but professional oversight remains essential for complex transactions, closings and judgment-based criteria.

Does AI decide for the company?

No. It interprets, proposes and explains. Recommendations are prioritized hypotheses; the decision belongs to the business owner.

What happens when AI is uncertain?

It requests the minimum data needed to reduce material uncertainty and preserves both the answer and the reason for the question.

How is an error corrected?

Through a traceable amendment linked to the original economic-event record. History must not be lost, and earlier decisions must not be silently overwritten.

How is benchmarking protected?

Through aggregation, anonymization, minimum thresholds, percentiles and controls against queries that could reveal specific companies.

Can it coexist with existing ERP systems?

Yes. Implementation provides for interfaces and gradual migration; PNIEC can receive economic-event records from other systems and return structured information.

Is the valuation official?

No. It is an indicative estimate based on explicit assumptions and does not replace due diligence, audit or an independent valuation.

Who governs the rules?

Institutional governance is required, with accounting, tax, technology, business and data-protection participation.

What is the final result?

A national business-intelligence platform that returns useful information to every company and provides high-quality aggregated statistics.

Conclusion

From administrative ERP to the augmented enterprise

PNIEC is not intended to produce more information, but better information. It turns day-to-day recordkeeping into infrastructure capable of reducing bureaucracy, increasing transparency, improving productivity and supporting evidence-based decisions. In this context, an augmented enterprise is one whose decision-making and management capabilities are strengthened by intelligent systems.

The innovation does not lie solely in automating journal entries. It lies in connecting the economic event to accounting, tax compliance, management, comparison and diagnosis while preserving privacy, explainability and human oversight.