The pandemic pushed transaction volumes up 50% just as regulators demanded new AI rules. Now data flows in seconds—governance is baked in.
A century-old Taiwanese bank specializing in small and medium-sized enterprise lending, which saw transaction volumes surge more than 50% during the pandemic as digital banking adoption rapidly accelerated.
The volume surge coincided with new regulatory requirements around cloud readiness, operational resilience, and AI governance, creating simultaneous...
Commercial bank for small and medium enterprises in Taiwan.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Taiwan Business Bank's Regulatory compliance is part of this use case:
Related implementations across industries and use cases
Manual document reviews bottlenecked new account openings at a full hour. An AI system now processes the paperwork in 15 minutes.
Treated as a plug-in, not a platform. Now 370+ scenarios handle 10M+ daily AI calls — and new models ship in a day, not two weeks.
AI was restricted to tech teams. By embedding governance, 20k staff now build agents that cut legal reviews from 4 hours to 1.
KYC files moved desk to desk for months, with compliance teams buried in repetitive checks. Agents now extract and score; officers decide.
Document-heavy compliance workflows bottlenecked scale. Now, AI processes routine case documents, routing exceptions to staff.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Most AI tools addressed one step—code review or a single feature—and couldn't run in-house. Factory covers the full SDLC, on-premise.
Manual reviews of massive contracts bottlenecked cash flow. Now, lawyers use embedded AI agents to dissect agreements and accelerate deals.
A lean legal team spanning three continents sent its hardest work — M&A diligence, disputes — to outside firms. Harvey brought it home.
The pandemic pushed transaction volumes up 50% just as regulators demanded new AI rules. Now data flows in seconds—governance is baked in.
A century-old Taiwanese bank specializing in small and medium-sized enterprise lending, which saw transaction volumes surge more than 50% during the pandemic as digital banking adoption rapidly accelerated.
The volume surge coincided with new regulatory requirements around cloud readiness, operational resilience, and AI governance, creating simultaneous...
Commercial bank for small and medium enterprises in Taiwan.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Taiwan Business Bank's Regulatory compliance is part of this use case:
Related implementations across industries and use cases
Manual document reviews bottlenecked new account openings at a full hour. An AI system now processes the paperwork in 15 minutes.
Treated as a plug-in, not a platform. Now 370+ scenarios handle 10M+ daily AI calls — and new models ship in a day, not two weeks.
AI was restricted to tech teams. By embedding governance, 20k staff now build agents that cut legal reviews from 4 hours to 1.
KYC files moved desk to desk for months, with compliance teams buried in repetitive checks. Agents now extract and score; officers decide.
Document-heavy compliance workflows bottlenecked scale. Now, AI processes routine case documents, routing exceptions to staff.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Most AI tools addressed one step—code review or a single feature—and couldn't run in-house. Factory covers the full SDLC, on-premise.
Manual reviews of massive contracts bottlenecked cash flow. Now, lawyers use embedded AI agents to dissect agreements and accelerate deals.
A lean legal team spanning three continents sent its hardest work — M&A diligence, disputes — to outside firms. Harvey brought it home.