Anchor Sprint is an agentic AI studio that designs, builds, and runs custom AI agents on Claude to automate real business workflows. The company combines autonomous agents, RAG knowledge systems, and automation to deliver deployed, working systems with human oversight, typically completing initial projects in 4–6 week sprints.
Funding
Funding not disclosed
Founders
Product
Problem
Many businesses in Malaysia and the ASEAN region still rely on manual, repetitive workflows for tasks like order processing, invoice matching, bank reconciliation, and HR verification. These processes consume significant staff time, are prone to human error, and scale poorly as organizations grow, yet off-the-shelf automation tools often fail to handle the complexity and context of real business operations.
Solution
Anchor Sprint builds custom AI agents on Claude that run real workflows end to end, moving beyond simple chatbots to systems that plan, decide, and execute multi-step processes. The company combines autonomous agents, retrieval-augmented generation (RAG) knowledge systems, and automation into deployed solutions, with a human-in-the-loop design that ensures oversight on genuine exceptions. Each engagement starts with framing the problem and mapping the manual workflow, then builds the agentic loop using the Claude Agent SDK and Model Context Protocol (MCP), with a proof-of-concept-first approach so clients see working results early. Anchor Sprint also offers EzyChat, an enterprise sales and support assistant that can be deployed in 1–2 weeks, and delivers projects in focused 4–6 week sprints with a strategy director, product designer, and engineer assigned to each engagement.
Target Audience
Primary customers are enterprises across Malaysia and ASEAN in finance, insurance, retail, and other sectors that need tailored AI agents to automate manual workflows and improve operational efficiency.
Features
- Custom AI agents built on Claude using the Claude Agent SDK and Model Context Protocol (MCP) for multi-step workflow execution
- RAG knowledge systems fluent in English, Bahasa Malaysia, and Chinese that turn company documents into queryable answers
- EzyChat AI assistants for enterprise sales and support that deploy in 1–2 weeks with live chat integration
- Human-in-the-loop exception handling that routes only genuine discrepancies to staff for review
- Pre-built agent use cases covering product enquiry, support triage, knowledge management, corporate communications, credit evaluation, invoice matching, cash application, bank reconciliation, insurance claims, KYC onboarding, contract review, HR verification, and leave management
- POC-first delivery approach with 4–6 week sprints that include strategy, design, and engineering