Technology companies in Southeast Asia are now operating under a regulatory environment shaped elsewhere: the EU AI Act (with extraterritorial effect for any company serving EU users), MAS guidance on AI model risk management for financial-sector clients, and customer contracts that increasingly require AI governance representations at the vendor level. For anyone selling into financial services, government, or regulated industries, the contractual AI liability exposure is already material.
Standard tech E&O was written for software errors and service outages, not for AI liability, bias, hallucination, IP infringement from training data, or algorithmic discrimination. For technology companies deploying or embedding AI, the gap between what the wording says and what the client contract expects is widening.
Who we work with
AI and machine-learning product companies. If you train, fine-tune, or deploy AI models as a core product, your liability profile includes model errors, bias claims, and third-party IP exposure from training data. Standard tech E&O wordings are starting to carve out AI-specific claims, and AI liability cover is the specialist response, placed through a small number of global markets. The underwriting question is usually about model governance and incident response, not model accuracy alone.
Generative AI deployers. Companies embedding generative AI into customer-facing products carry exposure from hallucinated output, IP infringement, defamation risk, and contract breach where the AI's output falls below the represented standard. The claims profile is new, the wordings that respond to it are still consolidating, and early placement matters where contractual obligations to clients already exceed what the standard programme covers.
Fintech and digital platforms. Platforms holding client digital assets, operating payment rails on blockchain infrastructure, or deploying AI for fraud, AML, or credit decisions carry combined digital asset and AI liability exposure. Neither sits cleanly within a traditional financial lines programme, and the specialist markets that write each are different, which is where coordinated placement matters.
Climate tech and sustainability technology. Companies building carbon accounting, MRV, ESG reporting, or climate-risk platforms have a specific exposure: greenwashing liability on their own product claims, plus professional indemnity exposure if customers rely on their output for regulatory disclosure. Both sit outside standard tech E&O.
How Emerge approaches technology and telecommunications
Emerge is the full-spectrum insurance and risk specialist for Southeast Asia's technology and telecoms sector. AI liability, algorithmic discrimination, generative AI IP exposure, digital asset cover, and greenwashing liability are where our specialist placement is concentrated, and where the gap between what standard wordings cover and what clients actually need is widest.
Capacity for these categories sits in a small number of global specialist markets. Submission quality, governance disclosure, and data are what unlock the capacity at a commercially useful size.
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