AI & Data Governance Advisory
PUBLIC-SECTOR-GRADE FRAMEWORK
The same data-governance discipline applied at Thailand Post — building the policy, ownership structure, and system architecture that lets a large or legacy organization operate on a single, governed source of truth, without slowing down what it already runs.
Data Governance Frameworks, AI Strategy & Policy, Digital Identity / SSO Architecture, Executive Briefing & Narrative
Governance Frameworks
– Define who owns each dataset across the organization, and what “quality” and “accuracy” mean for it in practice
– Set access policy — who can see, edit, or export data, and under what approval chain
– Align internal governance standards with national direction (e.g., coordination with Thailand’s Digital Government Agency) rather than building an isolated internal policy
– Turn scattered, department-level spreadsheets and legacy systems into a single, auditable source of truth
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AI Strategy & Policy
Identify where AI genuinely adds value in operations (forecasting, anomaly detection, resource planning) versus where it’s noise
Set the guardrails for how AI models are trained, validated, and monitored inside a public-sector or regulated environment
Translate technical AI capability into an executive-level roadmap leadership can actually approve and fund
Build the evaluation criteria that decide whether a pilot moves to production, instead of pilots that stall indefinitely
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Digital Identity / SSO Architecture
Design a single sign-on (SSO) and identity provider (IdP) layer so one credential works across every digital service — no separate login per app
Architect the identity backbone behind super-app-style platforms (e.g., PromptPost, Digital Post ID), where citizens move between services under one identity
Balance security requirements (authentication strength, session management) against the friction a citizen actually tolerates
Plan for scale — an identity system built for millions of users, not a few thousand pilot accounts
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Executive Briefing & Narrative
Translate technical architecture and data findings into a story senior leadership can act on in one meeting
Build presentation assets (e.g., Digital Twin decks) that make an abstract data initiative visible and concrete to non-technical stakeholders
Frame the “why now” case — connecting a data initiative to the organization’s existing priorities instead of pitching it as a separate project
Sequence the narrative so each briefing builds the case for the next phase of funding or sponsorship, rather than restarting from zero each time
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AI and Governance Framework
Mirum est notare quam littera gothica, quam nunc putamus parum claram, anteposuerit litterarum formas humanitatis per seacula quarta decima et quinta decima. Eodem modo typi, qui nunc nobis videntur parum clari, sollemnes in futurum.
Data Governance Frameworks
62
%
AI Strategy & Policy
86
%
Digital Identity / SSO Architecture
52
%
Executive Briefing & Narrative
40
%
Testimonials
Good
Watdul S.
AI Platform Senior Manager
Very nice consult.
Rapeepun N.
Sale Manager
Very kind.
Mong S.
Owner 7 Branches Restaurant
Accordion
- We had data everywhere and ownership of none of it.
“We had data everywhere and ownership of none of it. What we got wasn’t another dashboard — it was a framework our teams actually follow, at the same standard you’d expect from work built for a national institution. Six months in, nobody argues about whose numbers are correct anymore.”
— Executive Sponsor, Public-Sector Data Governance Engagement - We finally have one version of the truth.
“We finally have one version of the truth — no more arguing over whose numbers are right.”
— Executive Sponsor, Public-Sector Data Governance Engagement - This felt like it was built for an institution far larger than ours.
“This felt like it was built for an institution far larger than ours, then scaled down without losing the discipline.”
— Department Head, Data Governance Client
Professional Tools for Your Business
Data Governance & Data Management
Informatica
Informatica for large, enterprise-scale environments — think national institutions or multi-thousand-table data estates — where metadata management, lineage tracking, and access control need to run at that volume.
Cubika
Cubika for smaller-scale environments — a lighter footprint for organizations that don’t need (or can’t yet afford) full enterprise tooling, without sacrificing the governance discipline itself.
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