A COMPUTATIONAL INFRASTRUCTURE SYSTEM FOR PROACTIVE DIGITAL GOVERNMENT BASED ON INTEGRATED LAYERS OF DATA, ARTIFICIAL INTELLIGENCE (AI) AGENTS, AND AUTOMATION OF EVENTS AND CITIZEN RELATIONSHIPS

Description

1 / 13 A COMPUTATIONAL INFRASTRUCTURE SYSTEM FOR PROACTIVE DIGITAL GOVERNMENT BASED ON INTEGRATED DATA LAYERS. Artificial Intelligence (AI) Agents and Event Automation and Citizen Relations TECHNOLOGICAL SECTOR OF THE INVENTION

[001] The present invention relates to a computational infrastructure system for digital government, specifically a software architecture structured in multiple integrated layers, data, artificial intelligence and automation, and citizen relationship, designed to enable the operation of a proactive, event-driven government model with minimal or no manual interaction on the part of the citizen or public servant, a concept known as Zero Click Government.

[002] The invention finds its main application in municipal, state and federal public administrations, autonomous agencies, foundations and state-owned companies, and may also be applied, secondarily, in private organizations or regulated entities that require automation of formal processes, centralized data management and structured digital communication. STATE OF THE ART

[003] Traditional digital government systems are mostly designed to digitally replicate analog administrative flows, based on forms, manual protocols, and multiple isolated systems. This model results in fragmentation and inconsistency of registration data, high dependence on manual actions by citizens and civil servants, low capacity for intelligent automation, difficulty in structured official digital communication, and high operational costs for the State.

[004] Furthermore, conventional architectures are essentially reactive: they depend on an explicit request from the citizen to initiate any Petition 870260048238, dated 05 / 20 / 2026, page 5 / 29 2 / 13 administrative act. There are no technical mechanisms that allow the system to autonomously detect events in a citizen's life and, based on them, trigger administrative flows, official communications, or the opening of proceedings.

[005] Representative documents of the state of the art were identified, among which the following stand out:

[006] CN119761927A - ADAPTIVE AGENT MODELING METHODS, SYSTEMS AND PRODUCTS FOR DIGITAL GOVERNMENT SERVICES presents an adaptive model of intelligent agents for digital government services, structured in conceptual layers (autonomy, learning, interaction, and emergence). However, this is a methodological and simulation approach, not revealing a concrete operational infrastructure capable of executing public services automatically and proactively.

[007] CN112037103A - GOVERNMENT AFFAIRS MANAGEMENT SYSTEM presents an integrated platform for managing government affairs, with data governance and intelligent analytics. However, it remains oriented towards internal management and assisted decision-making, not eliminating citizen initiative or the logic of automated events that trigger administrative actions.

[008] CN116307757A - INTELLIGENT DATA INTERACTION METHOD, INTERATION SYSTEM, COMPUTER EQUIPMENT AND APPLICATION describes a platform for massive analysis of government data and social sensing, with predictive capabilities. Its focus lies in analytical intelligence and decision support, not in the automatic execution of complete administrative acts, such as opening processes, official communications, and procedures without explicit demand.

[009] CN120259056A - AN AI-DRIVEN INTELLIGENT RESPONSE AND EXECUTION SYSTEM FOR THE GOVERNMENT INDUSTRY presents Petition 870260048238, dated 05 / 20 / 2026, page 6 / 29 3 / 13 An intelligent response and execution system for the government sector, with collection, analysis, response, and execution modules. Despite automation, the solution remains reactive to inputs or requests, not establishing a model based on continuous registration events that eliminate the need for initial citizen interaction.

[0010] None of the previous documents reveals, either individually or in combination, a computational architecture that natively and orchestratedly integrates a single layer of versioned and classified registration data based on reliability levels, acting as a single source of truth; a layer of artificial intelligence agents capable of interpreting events, making decisions, and executing administrative flows autonomously or with assistance; a multi-channel relationship layer that operates in a synchronized and traceable manner; and a proactive, event-based execution model in which the system detects changes in the citizen's situation and automatically initiates administrative actions without the need for prior requests.

[0011] The present invention solves these technical problems in a structural way, by creating a single, integrated infrastructure capable of supporting a new paradigm of digital government. SUMMARY OF THE INVENTION

[0012] The present invention consists of a zero-click digital government computing infrastructure system, implemented on one or more processors and non-transient storage media, structured in three integrated functional layers:

[0013] Data Layer: responsible for the centralization, consolidation, qualification, versioning, and traceability of registration data for individuals (CPF) and legal entities (CNPJ), operating as a single source of truth. The data are classified according to technical levels of validation and reliability. Petition 870260048238, dated 05 / 20 / 2026, page 7 / 29 4 / 13 according to its origin and authentication method. The Data Layer also records structured events in the citizen's trajectory, organized according to a proprietary taxonomy, and allows for deterministic correlation between events and identities.

[0014] Artificial Intelligence and Automation Agent Layer: composed of artificial intelligence agents and configurable automation flows, capable of interpreting events, administrative rules and institutional contexts, performing validations, triggering official communications in the Citizen Relationship Layer, initiating or processing administrative processes and supporting decisions of public servants. The agents are classified by function (consultation, integration, triage, dispatch, conversation, orchestration, communication) and by level of autonomy (assistive or autonomous). The Layer acts as the logical core of the system, receiving events from the Data Layer and the Citizen Relationship Layer, processing them and generating new events that produce operational effects and new records in the Data Layer.

[0015] Citizen Relationship Layer: a set of digital interface subsystems that enable bidirectional interaction between artificial intelligence agents and citizens through multiple channels (web portal, instant messaging applications, email, SMS, electronic domicile). The Layer operates in a synchronized manner, ensuring logical consistency between channels, and fully records the data and events obtained in the interactions, feeding the Data Layer.

[0016] The system allows events derived from registration or operational data to automatically trigger government actions, such as opening processes, sending official communications, or executing administrative workflows, without requiring any prior request from the Petition 870260048238, dated 05 / 20 / 2026, page 8 / 29 5 / 13 citizen, who does not need to have prior knowledge of the service, form or responsible body, characterizing a model in which the citizen does not need to have prior knowledge of the service, form or responsible body — the Zero Click Government. BRIEF DESCRIPTION OF THE ATTACHED DRAWINGS

[0017] In order for the present invention to be fully understood and put into practice by any technician in a compatible technological field, it is described in a clear, concise and sufficient manner, based on the attached drawings, which illustrate and support it, listed below: Figure 1 illustrates the architecture of the SYSTEM. Figure 2 presents a flowchart of the SYSTEM's operation. Figure 3 presents an operational flowchart for example 1, company closure agent, executed by the SYSTEM. Figure 4 presents an operational flowchart for example 2, the senior citizen card issuance agent, executed by the SYSTEM. DETAILED DESCRIPTION OF THE INVENTION

[0018] The COMPUTATIONAL INFRASTRUCTURE SYSTEM FOR PROACTIVE DIGITAL GOVERNMENT BASED ON INTEGRATED LAYERS OF DATA, ARTIFICIAL INTELLIGENCE (AI) AGENTS AND EVENT AUTOMATION AND CITIZEN RELATIONSHIP presented in this patent of invention consists of a computational infrastructure system for digital government, structured in three integrated functional layers: Data Layer, Artificial Intelligence and Automation Agent Layer and Citizen Relationship Layer.

[0019] The architecture of the invention is illustrated in Figure 1, which represents the three Layers and their interconnections. Communication between Layers is Petition 870260048238, dated 05 / 20 / 2026, page 9 / 29 6 / 13 based on structured events, ensuring traceability, transactional consistency, and auditability.

[0020] The Data Layer is the core of the system's information registration and consolidation, using CPF and CNPJ as primary keys. It comprises the following subsystems and technical functionalities.

[0021] The Verified Central Registry centralizes all registration data for individuals and legal entities. Each record is classified into three validation levels: • Level 1 - Database: data obtained from official databases of the public entity; • Level 2 - Validated in service: data confirmed during digital interactions assisted by artificial intelligence, without the use of an authentication mechanism; • Level 3 - Authenticated: data confirmed through digital authentication mechanisms (e.g., gov.br single login).

[0022] The Structured Event Record, a function present in the Data Layer, records events in the life trajectory of citizens and companies, organized according to taxonomic domains, including, among others, the identity domain (birth, marriage, death, etc.); the domain of affiliations and dependencies; the domain of formative trajectory; the domain of productive situation and income; the domain of health condition; the domain of assets and financial obligations; the domain of location and jurisdiction; the domain of civic and regulatory situation; the domain of interactions with public authorities; and declared or inferred existential transitions.

[0023] Each recorded event contains, at a minimum: • Event identification: Unique ID, CPF / CNPJ (Brazilian tax ID), domain, event code, date of occurrence, registration date, status; Petition 870260048238, dated 05 / 20 / 2026, page 10 / 29 7 / 13 • Structuring context: life stage, affected jurisdiction, related entities, impacted individuals, previous and related events; • Impact and relevance: intensity, financial, social, legal, and biological impact, time horizon, criticality; • Automatic activation capability: activation indicator, associated action matrix, linked flow, notification requirement, legal deadline; • Origin and governance: source type (official, integration, self-declared, inferred), source system, assurance level, confidence level, version, rectification reference; • Additional information for events inferred by AI: estimated probability, model used, explanatory summary, confirmation status.

[0024] The Data Layer also allows integration with external data, which enables querying and enriching registration data through integration with public or private data bureaus, using structured calls.

[0025] Finally, all changes to records are versioned, maintaining a complete history and enabling auditing. The Data Layer emits structured events for each relevant change.

[0026] The Artificial Intelligence and Automation Agent Layer is the operational and decision-making core of the system, structured in two main subsystems: the Artificial Intelligence Agent Subsystem and the Activity Flow-Based Automation Subsystem.

[0027] The Artificial Intelligence Agent Subsystem allows the creation, training, parameterization, and management of multiple specialized Artificial Intelligence agents. Each agent is capable of receiving inputs. Petition 870260048238, dated 05 / 20 / 2026, page 11 / 29 8 / 13 of the Data Layer, the Citizen Relationship Layer, or external systems; query structured and historical data in the Data Layer; process information based on configured parameters; record structured events resulting from its actions; trigger automatic actions in the Relationship Layer or in the automation subsystem.

[0028] Agents possess various types of operational capabilities: • Query capability: structured data analysis and retrieval; • Integration capability: executing calls to external systems; • Screening capability: classification of requests, documents and forms; • Dispatching capacity: formal routing of processes, tasks or communications; • Conversational skills: linguistic interaction with users; • Orchestration capability: sequential or parallel coordination of multiple agents; • Communication skills: structuring, customizing, and sending communications across digital channels.

[0029] Agents are also classified by level of autonomy, being able to be assistive agents, which suggest actions dependent on human confirmation, and autonomous agents, which fully execute operational steps according to established parameters.

[0030] The Activity Flow-Based Automation Subsystem allows for the structured construction of activity flows representing digital operational processes. The flows are executed in a configurable and goal-oriented manner, with each execution linked to unique identifiers and Petition 870260048238, dated 05 / 20 / 2026, page 12 / 29 9 / 13 guided by user-configured prompts and objectives. Artificial Intelligence agents can be linked to specific steps in the flows.

[0031] All agent actions and workflow execution generate auditable and traceable events. The Artificial Intelligence and Automation Layer and Agents act as the logical core, receiving events from the Data Layer and the Citizen Relationship Layer, processing them, and generating new events that produce operational effects.

[0032] The Citizen Relationship Layer materializes the system's external interface with the citizen, comprising multiple synchronized digital channels, such as the Citizen Web Portal; traditional instant messaging applications (WhatsApp, Telegram, Signal, etc.); electronic mail (email); short message service (SMS); Electronic Domicile.

[0033] Regardless of the channel, the Citizen Relationship Layer performs the following functions: • Receive instructions from the Artificial Intelligence and Automation Agent Layer for triggering, responding to, and sending notifications; • Trigger structured events to the Data Layer for each relevant interaction; • Receive structured requests from citizens, including data from forms or messages; • Generate unique request or protocol identifiers; • Collect and fully record all data and events obtained; • Record technical communication metrics.

[0034] The Citizen Relationship Layer has a synchronization mechanism that ensures logical consistency between interactions performed on different channels, by associating all interactions with the same unique identifier (CPF / CNPJ and, when applicable, protocol), updated in Petition 870260048238, dated 05 / 20 / 2026, page 13 / 29 10 / 13 Real-time request status, regardless of the originating channel; propagation of state changes between integrated channels; blocking of incompatible states when a transition has already been registered in another channel.

[0035] The COMPUTATIONAL INFRASTRUCTURE SYSTEM FOR PROACTIVE DIGITAL GOVERNMENT BASED ON INTEGRATED LAYERS OF DATA, ARTIFICIAL INTELLIGENCE (AI) AGENTS AND EVENT AUTOMATION AND CITIZEN RELATIONSHIP operates according to the following technical cycle, as shown in the flowchart in Figure 2:

[0036] The user (public servant) registers an automation or creates an artificial intelligence agent and its respective prompts, APIs (Application Programming Interfaces), communication channels, among other necessary configurations, and relates this automation or agent to a specific event that should trigger the action via the SYSTEM. For example, automation related to "company closure" or "issuance of senior citizen card," both detailed below, and the SYSTEM autonomously executes the process continuously for the entire registration database and for the period determined in the configurations of that automation, without user intervention.

[0037] Automation execution: an event is registered in the Data Layer, whether through integration with an official database, interaction with the citizen, self-declaration or inference by artificial intelligence, triggering the execution of the automation registered by the user.

[0038] Decision processing: the event is evaluated by the Artificial Intelligence and Automation Layer. Specialized agents interpret the context, apply business rules, and determine if action is needed.

[0039] Execution of actions: based on the agents' decision, activities are carried out via the SYSTEM, such as communications, opening of Petition 870260048238, dated 05 / 20 / 2026, page 14 / 29 11 / 13 process, registration update, collection, document issuance, among others;

[0040] Recording and auditing of results in the Data Layer, providing feedback to the SYSTEM.

[0041] The following will describe, in general terms, the SYSTEM's method of operation, based on two concrete examples that illustrate the application of the same principle to distinct domains: (i) company deregistration (CNPJ) and (ii) proactive issuance of senior citizen cards (CPF). The general description of the method is valid for any event, rule, or public service configured in the system. EXAMPLE 1 - COMPANY CLOSURE AGENT

[0042] In the company's write-off flow, shown in Figure 3, the system runs an autonomous agent daily that: a) query the database of registered CNPJs (Data Layer); b) checks the situation with the Federal Revenue Service (external integration); c) upon detecting that a CNPJ (Brazilian taxpayer identification number) has been deactivated with the Federal Revenue Service, it checks the status with the municipality and verifies any outstanding tax obligations; d) If there are no outstanding tax issues, update the central registry and verify it as closed; (e) If there are outstanding debts, it consolidates the debt data for that CNPJ (Brazilian taxpayer ID), searches for digital contacts (including through enrichment via external APIs (Application Programming Interfaces)), triggers digital collection through the appropriate channel, and initiates a negotiation flow to settle the debt with the person responsible for that CNPJ; f) After payment is registered, the CNPJ status is updated in the verified central registry, a complete audit is recorded, and confirmation is sent to the responsible citizen. Petition 870260048238, dated 05 / 20 / 2026, page 15 / 29 12 / 13

[0043] This example demonstrates the integration of the three layers: the Data Layer provides and updates CNPJ and contact records; the Artificial Intelligence and Automation Agents Layer executes queries, decisions, enrichment, collection, and payment; the Relationship Layer sends communications and receives responses. The “CNPJ cancellation” event at the Federal Revenue Service is detected automatically, without citizen action, characterizing the proactive government. EXAMPLE 2 - SENIOR CITIZEN'S PORTFOLIO AGENT

[0044] In the elderly person's wallet flow, shown in Figure 4, the SYSTEM executes an autonomous agent daily that: a) Define eligibility parameters (minimum age); b) Querying the database of active CPF numbers in the Data Layer; c) Calculates age and days until 60 years of age, verifying eligibility and whether the citizen already possesses the document; d) In the absence of digital contact data (phone or email), it performs data enrichment via APIs (Application Programming Interfaces) internal and external to the SYSTEM; e) Trigger proactive communication via priority channel (WhatsApp, SMS, email or Electronic Address) (Relationship Layer); f) Initiates conversational flow, collects / validates data, executes card issuance, generates protocol, and sends confirmation; g) It records execution, audits, and updates the citizen's status, providing feedback to the system's learning process.

[0045] This example illustrates the same method applied to a welfare service: the triggering event is age eligibility calculated from the registered date of birth. No application from the citizen is required. The Petition 870260048238, dated 05 / 20 / 2026, page 16 / 29 The 13 / 13 system acts proactively, respecting configured rules and allowing conversational interaction only to supplement data.

[0046] It is important to emphasize that the descriptions and Application Forms provided do not limit the forms of execution, modifications, and variations that can be made following the formulations, methodologies, and products of the invention now proposed, but rather illustrate and make understandable the conceptual innovations revealed in this solution. Therefore, the descriptions should be interpreted in an illustrative and non-restrictive manner, and may present variations in the equipment used, proportions, dimensions, and other variables, whether of the whole or of its elements individually, provided that their particular characteristics are maintained, and that they are essential to the inventive concept now revealed and do not fall outside the scope of protection outlined in the proposed solution. Petition 870260048238, dated 05 / 20 / 2026, page 17 / 29

Claims

1 / 5 CLAIMS 1. COMPUTATIONAL INFRASTRUCTURE SYSTEM FOR PROACTIVE DIGITAL GOVERNMENT BASED ON INTEGRATED LAYERS OF DATA, ARTIFICIAL INTELLIGENCE (AI) AGENTS AND AUTOMATION OF EVENTS AND RELATIONSHIP WITH CITIZENS comprising one or more processors and non-transient storage media characterized by comprising: a Data Layer configured to centralize, consolidate, version and classify registration data of individuals and legal entities, using CPF and CNPJ as primary keys, operating as a single source of truth and recording structured events of the citizen's and company's life trajectory according to a predetermined taxonomy;An Artificial Intelligence and Automation Agent Layer, operationally coupled to the Data Layer, comprising multiple artificial intelligence agents configurable by function and level of autonomy, as well as configurable goal-oriented execution flows, said Layer being configured to interpret events recorded in the Data Layer, apply business rules and trigger automatic actions; a Citizen Relationship Layer, operationally coupled to the Artificial Intelligence and Automation Agent Layer, comprising multiple synchronized bidirectional digital interaction channels, configured to receive instructions from the Agent Layer, operationalize communications, record interactions and trigger events to the Data Layer; Petition 870260062975, dated 06 / 26 / 2026, page 5 / 12 2 / 5 in which the system is configured to detect events in the Data Layer and automatically initiate administrative actions without prior request from the citizen.

2. SYSTEM, according to claim 1, characterized by the Data Layer, classifying records related to CPF and CNPJ numbers into at least three validation levels: (i) official database; (ii) validated in digital interaction without authentication; (iii) authenticated by a digital authentication mechanism.

3. SYSTEM, according to claim 1, characterized by the Data Layer, recording, for each event, information comprising: unique identification, structuring context, impact and relevance metrics, indicator of automatic triggering capacity, origin and governance and, for events inferred by artificial intelligence, estimated probability and model used.

4. SYSTEM, according to claim 1, characterized by the Data Layer recording events structured according to a predetermined taxonomy of domains, including at least: identity domain, domain of links and dependencies, domain of productive situation and income, domain of health condition, domain of assets and financial obligation, domain of location and jurisdiction, domain of civic and regulatory situation and domain of interactions with public authorities; each event being identified by a unique ID, structuring context, impact metrics, automatic actionability indicator and governance and traceability data.

5. SYSTEM, according to claim 1, characterized by the Artificial Intelligence Agent Layer, enabling the creation of configurable Artificial Intelligence Agents and Automation Flows capable of interpreting events, administrative rules and institutional contexts, executing validations, triggering official communications in the Citizen Relationship Layer, initiating or processing administrative processes and supporting decisions of public servants.

6. SYSTEM, according to claim 1, characterized by the Artificial Intelligence Agents present in the Artificial Intelligence and Automation Agent Layer being classified by operational function, including at least: query, integration, triage, dispatch, conversation, orchestration and communication.

7. SYSTEM, according to claim 1, characterized by the Artificial Intelligence Agents present in the Artificial Intelligence and Automation Agent Layer being classified by level of autonomy into: assistive agents, which suggest actions dependent on human confirmation; and autonomous agents, which fully execute operational steps.

8. SYSTEM, according to claim 1, characterized by the Citizen Relationship Layer, comprising a multi-channel communication and synchronization mechanism, such as a web portal, instant messaging applications, email, SMS, electronic domicile, not limited to these, based on the association of all interactions to the same unique entity identifier, such as CPF or CNPJ, and, when applicable, to the same protocol identifier, with execution of actions in real time based on the state and event identified for that unique identifier.

9. SYSTEM, according to claim 1, characterized by being configured to, upon detection of an event in the Data Layer, automatically initiate, through the Artificial Intelligence and Automation Agents Layer, at least one action selected from the group comprising: generation and transmission of formal data structure to external systems. Petition 870260062975, dated 06 / 26 / 2026, p.7 / 12 4 / 5 representing the opening of a process; triggering of a structured digital communication routine on a configured channel, with the generation of a unique traceable protocol; automated routing of structured records between modules or external systems, according to configured rules; creation of electronic records linked to unique entity identifiers (CPF / CNPJ) with validity and traceability metadata; generation of a structured and electronically signed digital artifact, with an audit log in the Data Layer; automated triggering of a structured financial notification to the citizen's communication channel with a response log; registration update, among other relevant actions.

10. METHOD OF OPERATION of the system defined in any of claims 1 to 9, characterized by comprising the following steps: • user, public servant, creates and registers, in the Data Layer, an automation, APIs (Application Programming Interfaces), relationship channels and prompts related to a structured event associated with a CPF or CNPJ, through integration with an official database, interaction with the citizen, self-declaration or inference by artificial intelligence; • Artificial Intelligence and Automation Agent Layer evaluates said event, interpreting the context, applying business rules and determining if action is necessary; • execution, by the Artificial Intelligence and Automation Agent Layer, of the determined automatic action, such as opening an administrative process, sending proactive official communication with the citizen, intelligent processing of processes between departments of the public administration, generation of Petition 870260062975, of 06 / 26 / 2026, page.8 / 12 5 / 5 obligations or rights, issuing documents, collections, and updating registration information, among other relevant actions; • register, in the Data Layer, a new event corresponding to the execution of the action, ensuring traceability. Petition 870260062975, dated 06 / 26 / 2026, page 9 / 12.

Images