Solutions built for your regulatory market.

Federal departments and agencies, and the integrators and vendors who deliver AI to them.

Deliver AI that works, quickly: ATIP triage, chatbots that serve citizens, faster benefits decisions, AI-assisted procurement. The pressure is real; so is the complexity. Every initiative must find its way through the Treasury Board policy suite (the Directive on Automated Decision-Making and its AIA, privacy impact assessments, security assessment, procurement rules) with evidence at every gate, and few teams can say up front what applies or what will be accepted. So initiatives wait, and the value waits with them.

Prodago delivers AI initiatives that are fully aligned with the Government of Canada context, from intake to production. The questionnaire identifies which Treasury Board instruments apply to the initiative; the governance plan generates the gates and the evidence TBS expects (AIA, PIA, security assessment, procurement material); every piece of evidence is assessed against the directive text; the department can demonstrate admissibility at any time. Prodago works with several federal departments on exactly this.

• ATIP request triage and redaction
• Translation and bilingual content
• Citizen service and chatbots
• Briefing notes and policy synthesis
• Benefits adjudication (EI, OAS, GIS, CCB)
• Tax administration
• Border and immigration decisions
• Public service hiring and classification
• AI procurement

• Directive on Automated Decision-Making + AIA
• Privacy Act
• Directive on Privacy Practices
• Directive on Privacy Impact Assessment
• Policy on Government Security
• Directive on Security Management
• ITSG-33
• Policy on Service and Digital
• Directive on the Management of Procurement
• PSPC AI Source List
• Guide on the use of generative AI
• AI Strategy for the federal public service
• Access to Information Act
• Official Languages Act
• Accessible Canada Act + Standard on Web Accessibility
• Policy on Information Management

Ministries, agencies, Crown corporations, municipalities, and the health and education networks.

Deliver AI that improves services to citizens: Services Québec, Revenu Québec, the RAMQ, the SAAQ. The 2026 Énoncé de politique makes it urgent; the context makes it demanding. Each initiative must satisfy Law 25 and the Loi sur l’accès (privacy impact assessments, the CAI), the LGGRI and SCT directives, the Cadre de référence en IA, the Charte de la langue française, and prove it in French and English. Teams rarely know up front what applies, so projects sit in review while the need grows.

Prodago delivers AI initiatives aligned with the Québec public-sector context, in French and in English, from the first questionnaire to production: the Québec instruments that apply to the initiative, the privacy impact assessment and the other evidence the CAI and the SCT expect, assessed against the text of the law and the directive. Data and AI sovereignty requirements are part of the playbooks, not an afterthought.

• Services Québec citizen platform
• Revenu Québec tax administration
• RAMQ benefits adjudication
• SAAQ licensing and claims
• CNESST claims
• Retraite Québec pension administration
• Aide financière aux études
• Loi sur l’accès requests
• Briefing notes for the Conseil des ministres
• Public service hiring

• Law 25
• Loi sur l’accès aux documents des organismes publics
• LGGRI
• LCCJTI
• Cadre de référence en IA pour l’administration publique
• Énoncé de politique sur l’IA (2026)
• Charte de la langue française (Loi 14)
• Charte des droits et libertés de la personne
• Loi sur les archives
• Data and AI sovereignty framework
• Directives du Secrétariat du Conseil du trésor

Ministries, agencies, and the broader public sector: hospitals, school boards, municipalities, universities.

Deliver AI into services, benefits and health operations, at the pace the public expects. Bill 194 raises the stakes: disclosure, accountability frameworks and risk management for AI are becoming law, on top of FIPPA, MFIPPA, PHIPA and the Trustworthy AI framework. Nobody can yet say precisely what its regulations will require of each initiative, so public bodies face a choice they should not have to make: wait, or launch unprepared.

Prodago gives Ontario public bodies an AI governance practice that is ready for Bill 194 as its regulations come into force: the requirements identified per initiative, the accountability framework and the risk management evidence generated and assessed, and the disclosure material available at any time.

• Benefits and service delivery
• Citizen services and chatbots
• Access and privacy requests
• Health system operations
• Public sector hiring
• Municipal services

• Bill 194 (2024)
• FIPPA
• MFIPPA
• PHIPA
• Ontario Trustworthy AI Framework
• Responsible Use of AI Directive
• AODA
• Ontario Human Rights Code
• Employment Standards Act
• Canadian Charter of Rights and Freedoms

Government entities under NDMO and SDAIA oversight, and regulated private organizations (SAMA, CMA, Insurance Authority).

Deliver the Vision 2030 ambitions: Absher-grade services, cross-government data sharing, AI in every program. The pace is set nationally, and so is the scrutiny: every entity must periodically demonstrate, with scored evidence, its alignment with the NDMO standards and the NDI, on top of the PDPL, NCA controls and SDAIA guidelines. Each reporting cycle becomes a scramble to collect evidence by hand, and the energy goes into reporting instead of delivering.

Prodago turns the periodic NDMO and NDI alignment exercise into a continuous, evidence-based practice: the NDMO domains and their controls are in the playbooks, the evidence is collected once, assessed against the standards and ready for each reporting cycle, gaps become an action plan, and new AI initiatives are governed under SDAIA’s guidelines from the start. Eighteen Saudi instruments are already in our playbooks.

• NDMO data classification and cross-government sharing
• National Data Index reporting
• Absher and Tawakkalna citizen platforms
• Government chatbots and smart assistants
• Vision 2030 KPI reporting
• ETIMAD procurement and local content evaluation
• NCA cybersecurity operations
• Open data and FOI handling
• Civil service hiring and Saudization
• SAMA-regulated banking and insurance

• NDMO Data Management and Personal Data Protection Standards
• National Data Index (NDI)
• NDMO Data Classification Policy
• NDMO Data Sharing Policy
• NDMO Open Data Policy
• PDPL + Implementing Regulations
• SDAIA AI Ethics Principles
• SDAIA Generative AI Guidelines
• SDAIA AI Adoption Framework
• NCA Essential Cybersecurity Controls
• NCA Cloud Cybersecurity Controls
• DGA digital government standards
• CITC Cloud Computing Regulatory Framework
• SAMA regulations and cybersecurity framework
• Government Tenders and Procurement Law
• Vision 2030 program KPIs

Federal and emirate government entities, DIFC and ADGM firms, and regulated companies.

Deliver AI at the pace the AI Office and the emirates expect: UAE Pass services, government AI pilots, DIFC and ADGM finance. The complexity is structural: federal, emirate and free-zone regimes apply at once (PDPL, DIFC Regulation 10, ADGM rules, DESC, ADHICS), and few teams can say which regime governs their initiative. So delivery slows down, or one regime gets quietly ignored until it surfaces.

Prodago gives UAE entities one governance workflow across federal, emirate and free-zone regimes: the questionnaire tells you whether an initiative falls under the federal PDPL, the DIFC or ADGM rules, DESC or ADHICS, and which AI Office expectations apply; the evidence is produced once and serves every authority. For government entities, the AI Office mandate is reported on with proof, not statements.

• UAE Pass and federal digital services
• Federal government hiring (FAHR)
• Records and FOI handling
• AI Office mandate compliance and reporting
• Visa and border decisions
• CBUAE-regulated banking
• DIFC and ADGM financial services

• UAE AI Strategy 2031
• UAE AI Charter + AI Ethics Guide
• AI Office Implementation Guidance
• PDPL (Federal Decree-Law 45/2021)
• DIFC Data Protection Law + Regulation 10
• ADGM Data Protection Regulations
• NESA Information Assurance Standards
• TDRA Cloud Computing Regulatory Framework
• CBUAE Responsible AI Guidance
• DESC Cybersecurity Controls
• ADHICS
• Federal Decree-Law 14/2024 (Government Procurement)
• Dubai AI Principles

Public bodies, financial institutions and insurers, employers.

Deliver AI in credit, claims and public services, in a market that needs the efficiency. The FSCA and Prudential Authority have signalled that formal rules are coming; POPIA and PAJA already apply, and an AI decision without lawful-basis evidence and reasons is a decision a court can undo. Without that evidence ready-made, every launch waits on legal review, and most AI stays in the lab.

Prodago anchors AI governance in South Africa on the two things the Information Regulator and the courts look at: POPIA conditions and PAJA-compliant administrative decisions. Each AI initiative gets its lawful-basis, impact-assessment and reasons-for-decision evidence generated and assessed; financial institutions add the FSCA and Prudential Authority expectations on AI in the same file, ahead of the formal rules the Joint Report announces.

• Credit decisions
• Insurance underwriting and claims
• Fraud, AML and KYC
• Hiring and employee evaluation
• Social benefits and administrative decisions
• Clinical decision support

• POPIA
• PAIA
• PAJA
• Draft National AI Policy
• FSCA / PA Joint Report on AI (2025)
• Joint Standards on IT and Cybersecurity Risk
• Treating Customers Fairly
• FAIS Act
• Insurance Act
• Banks Act + SARB Prudential Standards
• FICA
• National Credit Act
• Employment Equity Act
• King IV
• Cybercrimes Act

Providers and deployers of AI systems, and financial entities under DORA.

Deliver AI systems into the EU market, or deploy them inside it: hiring, credit, clinical, customer-facing. The AI Act sets staged obligations that depend on your role and the system’s risk class, alongside GDPR and DORA. Most teams cannot yet classify their own system, let alone scope the documentation and conformity evidence it needs, so launches are delayed or quietly de-scoped to avoid the question.

Prodago starts from the question the AI Act makes unavoidable: what is this system, and what is your role in it? Provider or deployer, high-risk or not, general-purpose or not; from the answers, the platform generates the AI Act obligations that apply (risk management, data governance, technical documentation, human oversight, conformity assessment, post-market monitoring) and assesses the evidence against the regulation text, with GDPR and DORA obligations in the same plan rather than in three parallel programs.

• High-risk AI systems (employment, credit, essential services)
• Credit decisions
• Insurance underwriting
• Hiring and evaluation
• Clinical diagnosis and SaMD
• DORA ICT risk management

• EU AI Act (Regulation 2024/1689)
• GPAI Code of Practice
• GDPR + Article 22
• DORA
• NIS2
• Data Act
• Data Governance Act
• Cyber Resilience Act
• EBA Guidelines on AI/ML
• EIOPA AI guidance + Solvency II
• MiFID II + ESMA AI statement
• Digital Services Act
• AI Liability Directive + Product Liability Directive

Federal agencies, and companies regulated at the federal and state levels.

Deliver models and AI use cases across state lines: credit, underwriting, HR, service. The complexity is the patchwork: Colorado, Texas, California and New York each add their own regime on top of federal and sector rules, and each expects its own evidence. Compliance files get rebuilt state by state, review cycles multiply, and time-to-market slips a quarter at a time.

Prodago handles the United States as what it is: a patchwork. For each model or use case, the platform identifies the federal rules, the state laws that apply where you operate, and the sector regime, then produces one governance plan that satisfies all of them at once. When Colorado, Texas or California adds a requirement, the playbook changes and your initiatives inherit it; nobody rewrites the compliance file state by state.

• Federal agency AI use cases under OMB memoranda
• Credit decisions
• Insurance underwriting and claims
• Hiring and evaluation
• Prior authorization and clinical triage
• Tenant screening and valuation models

• NIST AI RMF
• OMB M-25-21 + AI use case inventories
• NIST Cybersecurity Framework
• Colorado AI Act
• Texas TRAIGA
• California AI suite
• NY ADM and RAISE Act
• SR 11-7 / OCC 2011-12
• ECOA / Reg B
• FCRA
• HIPAA
• NAIC AI Model Bulletin
• NY DFS Part 500
• EEOC AI guidance
• FedRAMP + NIST SP 800-53

Companies processing personal data, and regulated entities.

Deliver AI in customer service, credit and KYC for one of the fastest-growing digital markets. The DPDP Act and its Rules set obligations (notice, consent, retention, breach readiness) whose enforcement is just beginning, and the RBI adds expectations for regulated entities. Teams cannot yet tell what the Data Protection Board will ask for, so launches wait on legal reviews that have little precedent to lean on.

Prodago builds the DPDP obligations into the AI initiative itself: the notice and consent evidence, the purpose limitation and retention controls, the data fiduciary and processor responsibilities, and the breach-readiness documentation the Data Protection Board can ask for. The AI Governance Guidelines and RBI expectations are layered on the same plan for regulated entities.

• Credit decisions
• Customer service and chatbots
• Hiring
• Fraud and KYC

• Digital Personal Data Protection Act (2023)
• DPDP Rules (2025)
• India AI Governance Guidelines (2025)
• Information Technology Act
• RBI guidance on AI and model risk

Government agencies and regulated companies.

Deliver AI in government services and finance while the ground shifts: Privacy Act reforms, APRA CPS 230 and 234, and mandatory guardrails for high-risk AI on the way. Adopting the Voluntary AI Safety Standard now is the sensible hedge, but done by hand it is a project in itself, so most organizations wait, and will meet the guardrails unprepared.

Prodago lets Australian organizations get ahead of the mandatory guardrails: the Voluntary AI Safety Standard is already modeled as controls and evidence, so that adopting it now produces the file the guardrails will require later. Privacy Act reforms and APRA CPS 230 and 234 obligations are governed in the same workflow for financial institutions.

• Credit decisions
• Insurance
• Government service delivery
• Hiring

• Privacy Act 1988 + 2024 reforms
• Voluntary AI Safety Standard (2024)
• Mandatory guardrails for high-risk AI (proposed)
• Australia’s AI Ethics Principles
• APRA CPS 230
• APRA CPS 234

Companies and public bodies in Singapore, China, Japan, Korea and Hong Kong.

Deliver one AI system across several Asian markets at once. Each jurisdiction has its own framework (Singapore’s model framework and PDPA, China’s GenAI measures, Japan’s guidelines, Korea’s AI Basic Act), and repeating the compliance work per market multiplies the cost until the business case dies. The delivery challenge is doing the governance once, and proving it everywhere.

Prodago gives multi-market organizations in Asia one governance plan per AI system that answers each jurisdiction’s framework at the same time: Singapore’s model framework and PDPA, China’s generative AI measures, Japan’s guidelines, Korea’s AI Basic Act. The shared operational practices are done once; only the jurisdiction-specific evidence differs.

• Customer service and chatbots
• Credit decisions
• Hiring
• Generative AI services

• Singapore Model AI Governance Framework
• Singapore GenAI Governance Framework
• Singapore PDPA
• China Interim Measures for Generative AI
• Japan AI Guidelines for Business
• Korea AI Basic Act
• Hong Kong PCPD AI framework