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Sovereign AI

The GROUNDED Framework: Governed AI for Regulated and Sovereign Enterprises

Sovereign by design. Governed by evidence. Measured by value. Five board decisions for an enterprise AI agent platform.

By Nattapong Wanawongsawad, EVP Digital Technology SBU·30 September 2026
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Five decisions, one page

Sovereign by design. Governed by evidence. Measured by value. The Board is asked to approve: data sovereignty (customer-identifying data does not leave Thai jurisdiction except reversibly tokenised), accountability (CRO chairs the AI Governance Committee; build and approve are separated), funding (gateway and sovereign GPU cluster as shared infrastructure), sequencing (no customer-adjacent use case before gateway, register and evaluation harness operate) and the cost of sovereignty (~THB 11 million per year as a standing line item).

The problem

Shadow AI · one-way risk flow · no refuser · no value ledger.

Eight layers, two loops, five gates

Govern · Recognise · Orient · Uphold · Navigate · Design · Enforce · Demonstrate. Gates run through existing bodies — "If the committee has never refused anything, it is not governing."

Scope

18,000 employees, 13 use cases, 6 Tier 1, 20 control domains; BOT-supervised, CII, full PDPA exposure.

Where inference happens

Sovereign hybrid was selected over all-frontier and all-sovereign. A contractual control is not evidence; gateway logs are. The classifier in the AI Gateway decides the destination before egress.

Economics

Illustratively at 2.3B tokens/month the hybrid costs THB 51 per employee per month more — a regulatory and resilience decision, not a saving. Break-even sits near 4.3B tokens/month.

Sequencing, risks and board pack

Phase 0–1 (months 1–7), Phase 2 (6–10), Phase 3 (9–13). Key risks R1, R3, R7, R5, R10. One quarterly pack reports risk and value together.

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