Priority-market briefs on AI regulation, data compliance, ESG disclosure and customer due diligence — entry windows, must-dos and a side-by-side risk view.
The EU is the highest-cost compliance market for China AI — and the highest long-term brand value. Build infrastructure compliance first.
Federal AI law remains in flux, but state privacy laws, export controls and sector entry are immediate gating items.
Low barrier, high commercial value, regional reach — a strong first market for customer validation and a regional HQ.
Smart city, government and sovereign fund clients are well-funded. Requires local hosting, Arabic support and cultural fit.
Stable low risk, but slow decision and high localization bar. Best for long-term capital alignment and strategic partnership.
Largest LATAM market with GDPR-like LGPD. AI bill in progress. Local currency settlement, tax, and local rep are critical.
Start with model risk classification, training-data summary, DPA/SCC and a due diligence response pack.
Build certification route, data-collection boundary, supplier due diligence and incident response.
Complete high-risk AI review, DPIA, model validation, human oversight and expert review.
Start with sanctions screening, local deployment memo, government questionnaire and data-sovereignty evidence.
Determine whether the product triggers high-risk AI, GPAI, sector-entry, transparency or human oversight obligations.
Assess personal data, logs, training samples, DPIA, SCC, localization and processor roles.
Identify model capability, chips, encryption, sector customers, geopolitical and supply-chain restrictions.
Cover compute carbon, fairness, privacy governance, supplier responsibility and customer disclosure evidence.
Prepare DPA, security paper, AI governance memo, model limitations, SLA and incident response workflow.
Assess local cloud, language, support, partners, certifications and sector sales cycle.
Build AI risk classification, DPIA/SCC, supply-chain security, ESG double materiality and customer due-diligence evidence.
Start with customer-data governance, AI governance memo, model testing evidence and pilot disclosure.
Prioritize export control, sanctions screening, state privacy gap analysis and customer security-review materials.
Capture product, model capability, customer type, deployment, data processing and ESG status.
Check the company profile against target-market AI regulation, privacy, transfer, export-control, ESG disclosure and customer entry rules.
Produce a compliance score and a remediation gap list with suggested owner roles and priorities, flagging items for human review.
Create board briefs, due diligence response packs, ESG drafts and project task boards.
Start with a compliance assessment: answer a questionnaire on your company and target markets to get a heuristic risk score, a gap list and an AI executive summary.