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2 min readby Romiel Inolino

Anthropic opened a Singapore office and says Grab's Claude sales assistant saves about 40,000 hours a quarter

AnthropicClaudeSoutheast Asiasales automationdata residency

The most useful line in Anthropic's Singapore news is not about the office. It is about a sales assistant.

What happened

Anthropic opened an office in Singapore, its fifth in Asia-Pacific, and signed a memorandum of understanding with Singapore's Ministry of Digital Development and Information. The MOU covers cooperation on AI safety, security and model evaluation, research on AI adoption, and responsible adoption across the public and private sectors. Anthropic says it will also look for ways to help small and medium sized businesses adopt AI responsibly.

The announcement lists how Claude is already used there. More than 1,500 engineers and technical staff at GovTech Singapore have adopted Claude Code. DBS uses Claude for software development and day to day productivity. Sea uses it to help Shopee's customer service chatbot respond faster and more accurately. According to Anthropic, Grab powers BriX, its sales assistant, with Claude, and it saves Grab's sales teams about 40,000 hours every quarter.

Anthropic also notes that organizations in regulated sectors can run Claude with in-region inference on Amazon Bedrock to help meet data processing requirements. Its Economic Index ranks Singapore second of 121 countries in Claude.ai usage relative to population.

My take

Two things here matter for anyone building automations for businesses in Southeast Asia.

First, data location is now an answerable question. Banks, clinics and insurers often stall an AI project on "where does our data go?". When a client has residency requirements, check whether in-region inference is available for their country and provider, put the answer in the proposal, and route the sensitive steps through that path.

Second, look at where Grab found its hours: a sales assistant. That matches what I see in smaller teams. The big wins rarely come from flashy chatbots. They come from the prep work around selling:

  • Pulling account history and recent activity before a call
  • Drafting the follow up and logging it to the CRM
  • Flagging deals that have gone quiet
  • Summarizing what changed in an account this week

You do not need Grab's scale to get a slice of that. A focused assistant wired into HubSpot, GoHighLevel or Pipedrive can take hours off a five person sales team every week, as long as it reads clean CRM data and a rep stays in charge of what gets sent.

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