Automaid launches AI hub for agents that keep working

Automaid has launched an AI operations hub aimed at users who want software agents to keep working beyond a chat session.

The Singapore-based company says users can describe an intended outcome in plain English, after which AI agents choose tools, run code and carry out tasks across connected software.

Automaid is entering a market shaped by chat-based AI assistants and workflow automation platforms. Its pitch is that users should not need to build automations step by step in systems such as n8n, IFTTT or Zapier if an agent can work out how to complete the task from a natural-language instruction.

The product is designed to respond not only to direct prompts but also to external triggers such as a new Gmail message or a Slack update. Tasks can continue in the cloud after a user has closed their laptop, with the agent acting across connected applications rather than simply replying inside a chat window.

A core part of the offer is software connectivity. Automaid says it works through thousands of built-in app integrations as well as HTTP APIs, webhooks, MCP servers and private internal tools.

Each agent also has its own cloud environment for processing files and running code, while Browser Use handles website interaction where needed. This structure is intended to let agents manage both software-based and browser-based work within a single flow.

Use cases

Automaid outlined several examples of how the system could be used in day-to-day work. One involved handling incoming media pitches in Gmail by researching the company, assessing whether it fits a publication's coverage, drafting a reply and routing promising stories to the appropriate editor.

Another centred on a recurring weekly brief summarising AI and startup developments and highlighting only stories worth reviewing. A further example involved WhatsApp, including scheduled messages, questions across message history and the use of WhatsApp as one action within a wider workflow.

Automaid also offers custom development for businesses that need integrations, agents and workflows built around their existing systems. This suggests the company is targeting not only individual users and small teams but also organisations with software estates that require tailored connections.

The launch marks the latest venture for Founder Daniel Tan, whose background is in fintech. He previously founded FindTheLoan, a Singapore loan marketplace that lets borrowers submit one application and receive offers from multiple lenders through a single digital interface.

That business was also framed around replacing fragmented manual work with software, and the same principle appears in Automaid's approach. Instead of focusing on a single industry workflow, the new company is trying to apply agent-based automation across a broader range of business tasks and consumer software tools.

FindTheLoan raised an undisclosed seed round in 2025. Tan's fintech background also includes support from Enterprise Singapore, participation in accelerator and pre-accelerator programmes in Hong Kong and Malaysia, and recognition in a regional fintech competition.

The broader commercial question for Automaid is whether businesses will trust AI agents not only to generate answers but also to take actions across email, messaging, internal tools and external services. That issue has become more prominent as software groups move from chatbot-style interfaces towards systems that can execute tasks on behalf of users.

Competition in this area is growing, with established automation providers adding AI features and newer entrants building around agents from the outset. Automaid's proposition is that natural-language instructions can replace much of the manual setup associated with traditional workflow builders.

Tan set out the company's position in a statement announcing the launch. "Most AI products focus on giving a better response. We are focused on what happens after the response," said Daniel Tan, Founder, Automaid.

"The aim is to let users describe the outcome they want and have the agent keep the work moving, including when something happens later," Tan said.