DBS Bank Runs 430 AI Use Cases and a Million Prompts a Month

Forrester’s 2026 Technology Awards for Asia Pacific, published August 3 by analyst Frederic Giron, reward a specific kind of AI maturity: not experimentation, but institutionalization. DBS Bank won in Data and AI Impact for deploying more than 430 AI use cases with 70% employee adoption, generating roughly a million prompts a month. Singtel won Technology Strategy Impact for its Xcelerate program, which cut the number of applications it runs by 44% and shortened product launch cycles from weeks to days. CLP Power Hong Kong took Enterprise Architecture honors for a 20% increase in digital adoption and a 90% reduction in data latency — while sustaining 99.999% electricity reliability, meaning the AI investment didn’t trade off against uptime. Grab was recognized for Valet, a self-service platform that lets business teams build their own AI-driven automations without engineering involvement.

These are the kind of concrete, named benchmarks that turn “enterprise AI works” from a claim into a citation. Outreach’s own customer data makes the same case from the sales side: SAP booked over 40,000 customer meetings and $1.5 billion in pipeline through agentic AI while cutting manual outreach 80%, Amplitude consolidated five tools into one and saved $600K while growing deal size 50%, and Siemens hit 98% forecast accuracy across 190 countries.

What separates these winners from the much larger pool of companies still stuck in pilot mode is exactly what BCG’s agentic leadership research found: only 5% of companies are genuinely “agent-first,” and BCG attributes 70% of that gap to people and change management rather than algorithms — the firms furthest along are the ones that trained more than half their workforce, not the ones with the best model.

For B2B sellers, that’s the sharper pitch than raw capability: buyers aren’t shopping for AI anymore, they’re shopping for the change-management path that gets them from pilot to DBS Bank’s million prompts a month.