WHAT
OECD, NIST, UNESCO, EU AI Act, ISO 42001 — define principles, expectations and risk categories. They are the compass, not the road.
Operational framework
Responsible AI adoption in Latin American public institutions
"The principles already exist. What is missing is the method to implement them."
REGIA — Strategic Path for Governance and Implementation of AI. Five pillars, operational instruments and 28 international frameworks integrated.
The problem
A public institution opens the OECD, NIST, UNESCO or EU AI Act handbook and finds principles and policies. What it does not find is the procedure: who signs, what is measured, how it is documented. REGIA closes that gap.
OECD, NIST, UNESCO, EU AI Act, ISO 42001 — define principles, expectations and risk categories. They are the compass, not the road.
REGIA translates those principles into operational instruments: scorecards, matrices, fact sheets, contractual clauses, approval gates, monitoring protocols.
Public institutions in Latin America that need to execute responsible AI adoption within their operational, legal and budgetary reality.
The 5 pillars
Each pillar answers a concrete institutional question and delivers ready-to-use instruments. The sequence is the full adoption journey, with entry and exit gates that condition progress.
Where are we and how prepared are we for AI?
How do we govern AI decisions in our institution?
How do we classify risks and control the lifecycle of every AI project?
How do we redesign processes and deploy AI with measurable results?
How do we verify compliance and build sustainable capacities?
The REGIA cycle is iterative
After Assure, the institution returns to Recognize at a higher maturity level — refining governance, expanding use cases and deepening capacities.
Application
Not all institutions traverse the 5 pillars in the same order. The route depends on the type of organization, its current maturity and its priority objective.
Route
R → E → G → I → A (full)
Route
R → G → I → A
Route
R → E → I → A
Route
R(express) → I → A(lite)
Route
A(Verify) → A(Empower)
Route
E → G → A(Verify)
Author
REGIA is the methodology developed and tested by Mario Pérez Edwards from 15 years of experience in finance, project management and building digital products, combined with two years of intensive AI implementation in the Costa Rican public sector.
AI adoption and governance consultant · UnikPrompt
Pillar detail
Question, instruments, gates and base frameworks for each pillar. What is published here is what an adoption team needs to understand how REGIA operates before contracting.
Pillar R
Institutional question: Where are we and how prepared are we for AI?
Diagnostic of institutional maturity across 6 dimensions: infrastructure, data, talent, processes, governance and culture. Identifies opportunities, measures gaps and prioritizes by impact and feasibility.
Associated service → S1, AI Adoption Diagnostic
Entry gate
Executive sponsor appointed + signed scope agreement.
Exit gate
Portfolio of prioritized cases + maturity level documented + roadmap approved by executive sponsor.
Each framework is invoked as a normative reference inside the pillar instruments. The full traceability detail (which control of each framework feeds each instrument and which evidence it produces) is delivered as an annex within the consulting engagement.
Pillar E
Institutional question: How do we govern AI decisions in our institution?
Designs the institutional governance model: AI committee, roles and responsibilities (RACI), institutional AI policy, project approval mechanism, accountability framework.
Associated service → S2, AI Strategy and Governance
Entry gate
Maturity diagnostic completed (Pillar R) or equivalent institutional baseline.
Exit gate
Institutional policy approved + committee constituted + RACI assigned + decision mechanism documented.
Each framework is invoked as a normative reference inside the pillar instruments. The full traceability detail (which control of each framework feeds each instrument and which evidence it produces) is delivered as an annex within the consulting engagement.
Pillar G
Institutional question: How do we classify risks and control the lifecycle of every AI project?
Defines a single risk taxonomy for the whole organization. Classifies each project by risk level (low/medium/high/unacceptable), defines proportional controls, sets approval gates, no-deployment criteria and procurement protocol. All other pillars inherit this classification: Implement (I) executes according to the risk level assigned here, and Assure (A) audits against the controls defined here.
Associated service → S4, AI Applied to the Public Sector and Regulation (transversal to all pillars)
Entry gate
Institutional governance defined (Pillar E) or existing AI policy.
Exit gate
Risk level assigned + controls defined + procurement (if applicable) with approved clauses + hierarchical approval documented.
Each framework is invoked as a normative reference inside the pillar instruments. The full traceability detail (which control of each framework feeds each instrument and which evidence it produces) is delivered as an annex within the consulting engagement.
Pillar I
Institutional question: How do we redesign processes and deploy AI with measurable results?
Maps candidate processes, designs TO-BE solutions with AI integrated, runs scoped pilots, measures results against baseline, and defines the scaling plan.
Associated service → S3, AI Process Redesign and Automation
Entry gate
Risk level assigned and controls approved (Pillar G).
Exit gate
Functional pilot + metrics vs baseline documented + decision to scale/adjust/discard + approved scaling plan.
Each framework is invoked as a normative reference inside the pillar instruments. The full traceability detail (which control of each framework feeds each instrument and which evidence it produces) is delivered as an annex within the consulting engagement.
Pillar A
Institutional question: How do we verify compliance and build sustainable capacities?
Assure integrates two complementary capacities that close the cycle. Verify: technical and legal audit of AI systems, post-deployment monitoring, periodic review of controls, and legislative audit. Empower: training programs by profile (executive, technical, legal, operational, legislative) and institutional change management.
Associated service → S5 (AI Legislative Audit) + S6 (AI Training and Education) + transversal components of S4
Pillar A combines two complementary capacities: A.1 Verify (technical and legal audit + post-deployment monitoring + AI-assisted legislative audit) and A.2 Empower (training by profile + change management).
A.1
Technical and legal audit of AI systems: regulatory compliance, post-deployment monitoring (drift, robustness, incidents), periodic review of controls and legislative audit of bills.
Instruments
A.2
Training programs by profile (executive, technical, legal, operational, legislative). From 2-hour briefings to 6-week programs. Institutional change management.
Instruments
Entry gate
Pilot or system in operation (Pillar I completed) or bill to be audited (direct entry for legislatures).
Exit gate
Compliance audit approved + active post-deployment monitoring + training program executed + institutional action plan documented.
Each framework is invoked as a normative reference inside the pillar instruments. The full traceability detail (which control of each framework feeds each instrument and which evidence it produces) is delivered as an annex within the consulting engagement.
International alignment
REGIA does not replace multilateral frameworks. It complements them as an organizational execution layer. This section lists the 28 integrated frameworks, the mapping with the 10 OECD principles and the operational differentiators.
Full catalog of the frameworks REGIA explicitly integrates, with their pillars of application. Total: 28.
| # | Framework | Body | REGIA pillars | Main use |
|---|---|---|---|---|
| 1 | OECD AI Principles | OECD | E G | Principles and policy recommendations |
| 2 | OECD.AI Policy Observatory | OECD | R | Benchmarking of 900+ policies |
| 3 | UNESCO Recommendation on AI Ethics | UNESCO | E | Ethical principles and Policy Action Areas |
| 4 | UNESCO RAM | UNESCO | R A | Institutional readiness assessment |
| 5 | fAIr LAC | IDB | I A | Ethical and feasible LAC project design |
| 6 | IDB Formulation Manual | IDB | I | Project design: problem → execution |
| 7 | IDB Data Science Manual | IDB | I | Technical practices by lifecycle |
| 8 | GTMI | World Bank | R | Digital maturity: 4 areas, 48 indicators |
| 9 | ILIA 2025 | CEPAL/CENIA | R | LAC index: 3 dimensions, 19 countries |
| 10 | eLAC2026 | CEPAL | E | Regional digital agenda, 38 objectives |
#1
OECD AI Principles
OECD
Principles and policy recommendations
#2
OECD.AI Policy Observatory
OECD
Benchmarking of 900+ policies
#3
UNESCO Recommendation on AI Ethics
UNESCO
Ethical principles and Policy Action Areas
#4
UNESCO RAM
UNESCO
Institutional readiness assessment
#5
fAIr LAC
IDB
Ethical and feasible LAC project design
#6
IDB Formulation Manual
IDB
Project design: problem → execution
#7
IDB Data Science Manual
IDB
Technical practices by lifecycle
#8
GTMI
World Bank
Digital maturity: 4 areas, 48 indicators
#9
ILIA 2025
CEPAL/CENIA
LAC index: 3 dimensions, 19 countries
#10
eLAC2026
CEPAL
Regional digital agenda, 38 objectives
| # | Framework | Body | REGIA pillars | Main use |
|---|---|---|---|---|
| 11 | NIST AI RMF 1.0 | NIST | E G A | Govern / Map / Measure / Manage |
| 12 | ISO/IEC 42001:2023 | ISO | E A | AI management system (PDCA) |
| 13 | ISO/IEC 23053:2022 | ISO | I | Data quality for ML |
| 14 | ISO/IEC 38507:2022 | ISO | E | AI governance at board level |
| 15 | BS 8611:2016/A1:2023 | BSI | G A | AI assurance and risk management |
| 16 | ITU AI Standards | ITU | I | Technical interoperability |
#11
NIST AI RMF 1.0
NIST
Govern / Map / Measure / Manage
#12
ISO/IEC 42001:2023
ISO
AI management system (PDCA)
#13
ISO/IEC 23053:2022
ISO
Data quality for ML
#14
ISO/IEC 38507:2022
ISO
AI governance at board level
#15
BS 8611:2016/A1:2023
BSI
AI assurance and risk management
#16
ITU AI Standards
ITU
Technical interoperability
| # | Framework | Body | REGIA pillars | Main use |
|---|---|---|---|---|
| 17 | EU AI Act (2024/1689) | EU | G | Risk-based classification (4 levels) |
| 18 | Singapore Model AI Governance 2.0 | IMDA | E G | Operational governance by blocks |
| 19 | AI Verify | Singapore | A | Technical testing and assurance |
| 20 | UK AI Playbook | GDS | R E I | 10 principles + lifecycle for government |
| 21 | UK Guidelines for AI Procurement | UK Gov | G | 10 procurement criteria |
| 22 | UK ATRS | UK Gov | E A | Algorithmic transparency record |
| 23 | UK AI Regulation White Paper | UK Gov | G | Flexible sectoral regulation |
#17
EU AI Act (2024/1689)
EU
Risk-based classification (4 levels)
#18
Singapore Model AI Governance 2.0
IMDA
Operational governance by blocks
#19
AI Verify
Singapore
Technical testing and assurance
#20
UK AI Playbook
GDS
10 principles + lifecycle for government
#21
UK Guidelines for AI Procurement
UK Gov
10 procurement criteria
#22
UK ATRS
UK Gov
Algorithmic transparency record
#23
UK AI Regulation White Paper
UK Gov
Flexible sectoral regulation
| # | Framework | Body | REGIA pillars | Main use |
|---|---|---|---|---|
| 24 | Directive on ADM | TBS Canada | G A | Mandatory requirements for automated decisions |
| 25 | Algorithmic Impact Assessment | TBS Canada | G | Impact assessment: 65 risks + 41 mitigations |
#24
Directive on ADM
TBS Canada
Mandatory requirements for automated decisions
#25
Algorithmic Impact Assessment
TBS Canada
Impact assessment: 65 risks + 41 mitigations
| # | Framework | Body | REGIA pillars | Main use |
|---|---|---|---|---|
| 26 | Colombia ENIA | MINCIENCIAS | E | Policy with public-sector focus |
| 27 | Panamá Marco Regulatorio IA | SENACYT | G | Operational guide for government |
#26
Colombia ENIA
MINCIENCIAS
Policy with public-sector focus
#27
Panamá Marco Regulatorio IA
SENACYT
Operational guide for government
| # | Framework | Body | REGIA pillars | Main use |
|---|---|---|---|---|
| 28 | McKinsey State of AI 2025 | McKinsey | R I | Global survey, 6 transformation dimensions |
#28
McKinsey State of AI 2025
McKinsey
Global survey, 6 transformation dimensions
5 value-based principles + 5 policy recommendations. REGIA covers 5 completely and 5 partially (the complete ones are the most operational).
| # | OECD principle | REGIA pillar(s) | How REGIA implements it | Coverage |
|---|---|---|---|---|
| 1 | Inclusive growth, sustainable development and well-being Value | R + I | The diagnostic evaluates impact on citizens and public service. Implementation measures results against baseline (not only efficiency, but public value). (Diagnostic and measurement cover impact, but there is no explicit instrument for inclusion and sustainability.) | ◐ Partial |
| 2 | Respect for the rule of law, human rights, equity and privacy Value | G + A (Verify) | Risk classification with fundamental rights impact analysis. Legislative audit verifies constitutional coherence. Chapter 5 of the Playbook covers data, privacy and Costa Rica Law 8968. | ● Complete |
| 3 | Transparency and explainability Value | E + A | Algorithmic transparency record inspired by UK ATRS. Institutional algorithmic registry. Chapter 12 of the Playbook covers transparency, participation and citizen oversight. (The record and registry cover transparency; technical explainability has no explicit instrument yet.) | ◐ Partial |
| 4 | Robustness, security and safety Value | G + A (Verify) | The 8 risk classification criteria include security exposure and damage reversibility. Post-deployment monitoring (drift, incidents, re-assessment). Chapter 8 of the Playbook covers the generative AI protocol. | ● Complete |
| 5 | Accountability Value | E + A | Per-project RACI structure. Decision mechanism documented. Governance committee with roles and responsibilities. Exit gate: hierarchical approval documented. | ● Complete |
| 6 | Investing in AI research and development Recommendation | R | The diagnostic identifies opportunities by impact and feasibility. The 12-month roadmap prioritizes investments by horizon: quick wins, strategic pilots and capacities. (REGIA identifies opportunities but does not manage R&D budget.) | ◐ Partial |
| 7 | Fostering an inclusive enabling ecosystem Recommendation | R + I | Regional benchmark (ILIA, GTMI) positions the institution in context. Practical automation for SMBs available as a reduced scope. (SMB scope exists but is not the main focus.) | ◐ Partial |
| 8 | Interoperable governance and policy Recommendation | E + G | Institutional policy aligned with ENIA and international frameworks. Public procurement protocol with 9 clause families (contractual interoperability). | ● Complete |
| 9 | Human capacity and labor market Recommendation | A (Empower) | 4 training formats by profile (executive, technical, legal, legislative). Institutional action plan. Change management. | ● Complete |
| 10 | International cooperation Recommendation | Transversal | REGIA integrates 28 international frameworks. The Costa Rica Playbook is aligned with ENIA (which is aligned with OECD). ObservatorioIA monitors regional adoption. (Integrates and monitors, but has no operational bilateral cooperation mechanism.) | ◐ Partial |
#1 · Value
Inclusive growth, sustainable development and well-being
R + I
The diagnostic evaluates impact on citizens and public service. Implementation measures results against baseline (not only efficiency, but public value).
(Diagnostic and measurement cover impact, but there is no explicit instrument for inclusion and sustainability.)
#2 · Value
Respect for the rule of law, human rights, equity and privacy
G + A (Verify)
Risk classification with fundamental rights impact analysis. Legislative audit verifies constitutional coherence. Chapter 5 of the Playbook covers data, privacy and Costa Rica Law 8968.
#3 · Value
Transparency and explainability
E + A
Algorithmic transparency record inspired by UK ATRS. Institutional algorithmic registry. Chapter 12 of the Playbook covers transparency, participation and citizen oversight.
(The record and registry cover transparency; technical explainability has no explicit instrument yet.)
#4 · Value
Robustness, security and safety
G + A (Verify)
The 8 risk classification criteria include security exposure and damage reversibility. Post-deployment monitoring (drift, incidents, re-assessment). Chapter 8 of the Playbook covers the generative AI protocol.
#5 · Value
Accountability
E + A
Per-project RACI structure. Decision mechanism documented. Governance committee with roles and responsibilities. Exit gate: hierarchical approval documented.
#6 · Recommendation
Investing in AI research and development
R
The diagnostic identifies opportunities by impact and feasibility. The 12-month roadmap prioritizes investments by horizon: quick wins, strategic pilots and capacities.
(REGIA identifies opportunities but does not manage R&D budget.)
#7 · Recommendation
Fostering an inclusive enabling ecosystem
R + I
Regional benchmark (ILIA, GTMI) positions the institution in context. Practical automation for SMBs available as a reduced scope.
(SMB scope exists but is not the main focus.)
#8 · Recommendation
Interoperable governance and policy
E + G
Institutional policy aligned with ENIA and international frameworks. Public procurement protocol with 9 clause families (contractual interoperability).
#9 · Recommendation
Human capacity and labor market
A (Empower)
4 training formats by profile (executive, technical, legal, legislative). Institutional action plan. Change management.
#10 · Recommendation
International cooperation
Transversal
REGIA integrates 28 international frameworks. The Costa Rica Playbook is aligned with ENIA (which is aligned with OECD). ObservatorioIA monitors regional adoption.
(Integrates and monitors, but has no operational bilateral cooperation mechanism.)
OECD, NIST, ISO, UNESCO, EU AI Act are the conceptual reference. REGIA operates one level below, with ready-to-use instruments.
| Aspect | Multilateral frameworks | REGIA |
|---|---|---|
| Level | Principles and policies | Procedures, controls and instruments |
| Audience | National policy makers | Institutions that implement |
| Deliverable | Reference document | Ready-to-use operational instruments |
| Tools | None integrated | Interactive toolkit (8 modules) + AI-assisted implementation and audit tooling |
| Context | Global | Adapted to LATAM, with Costa Rica as pilot |
| Theoretical base | Self-contained framework | Integrates 28 international frameworks with traceability |
| Execution | Manual, depends on each government | AI-assisted (document generation, automated audit) |
| Verification | Government self-report | Traceable audit with role separation |
Level
Audience
Deliverable
Tools
Context
Theoretical base
Execution
Verification
Consulting services
Each service activates one or more REGIA pillars. Scope, duration and deliverables are agreed per organization in the proposal. Prices are not published on this site.
Code
S1
Pillar
R
Activates Pillar R. Institutional maturity diagnostic across 6 dimensions (infrastructure, data, talent, processes, governance, culture), regional benchmark with ILIA and GTMI, case prioritization matrix and 12-month roadmap with 3 horizons.
Deliverables
Code
S2
Pillar
E
Activates Pillar E. Designs the institutional AI policy, governance committee, RACI by project type, approval protocol, algorithmic registry and transparency record inspired by UK ATRS.
Deliverables
Code
S3
Pillar
I
Activates Pillar I. AS-IS mapping of candidate processes, TO-BE design with AI, per-pilot business case, execution of scoped pilots, measurement against baseline and a sustainable scaling plan.
Deliverables
Code
S4
Pillar
G (transversal to R-E-I-A)
Activates Pillar G and transversal components of the others. End-to-end accompaniment in AI adoption in the public sector: analysis of the regulatory framework applicable to the institution, per-project risk classification, procurement protocol with 9 clause families and support for in-flight initiatives.
Deliverables
Code
S5
Pillar
A (Verify)
Activates the Verify component of Pillar A for assemblies and committees. AI-assisted article-by-article analysis of bills: constitutional risks, conflicts with existing legislation, legal gaps and concrete proposals for drafting improvements.
Deliverables
Code
S6
Pillar
A (Empower)
Activates the Empower component of Pillar A. Programs by profile, from 2-hour briefings to 6-week programs, including dedicated training for legislative committees. Materials and dynamics adapted to the sector.
Deliverables
Resources
What REGIA offers openly. The full operational materials are delivered within the consulting engagement.
Full public methodology in institutional whitepaper format. Pillars, gates, instruments, 28 frameworks, OECD mapping, differentiators. Without operational templates, without prices. English edition coming soon — for now this PDF is Spanish only.
Download PDFInteractive 8-module self-service application for diagnostic, risk classification and governance. Open material based on REGIA Pillar G.
Visit →Public catalog of AI projects in Costa Rica's public sector, regional indicators (ILIA, GTMI) and analytical editorial line. Continuous input for Pillar R.
Visit →Mario Pérez Edwards' institutional site. Consulting services, published cases and direct contact.
Visit →Posts and articles about AI adoption in the public sector. Main channel for professional discussion and references.
Visit →Contact
Every REGIA implementation starts with a no-commitment conversation to understand the context, current maturity and objectives. Write to me by email or LinkedIn.