Thailand’s manufacturing sector — from electronics and automotive to food processing and rubber — runs on thousands of cross-system operations every day. Case tracking, compliance filing, supplier coordination, quality approvals, export documentation. Most of it is still manual, fragmented across teams, and dependent on people chasing people.
Worker is the Agentic Operations platform that puts AI to work inside your real processes — not just answering questions, but carrying work from start to finish. Connected to your existing ERP, SaaS, and on-premise systems. No rip-and-replace.
From EEC-based electronics manufacturers to automotive OEMs and BOI-registered food processors — Worker integrates where your teams already operate.
Every industry has its own operational complexity. Worker adapts to yours — connecting your systems, handling exceptions, and keeping work moving with or without human intervention at every step.
Thailand is the world’s top exporter of hard disk drives, with USD 32 billion in electronics exports in 2019 and a record USD 8.91 billion in FDI flowing into the EEC in 2025. The scale is massive — and so is the operational load. Supplier qualification, PCB inspection workflows, export documentation, BOI compliance reporting — these processes span multiple teams and systems and are prone to delays, missed SLAs, and inconsistent handoffs.
Worker acts as an AI teammate embedded in your operations. It receives work, coordinates across systems via API, event, or RPA, handles exceptions without stopping, and closes cases end-to-end — with a full audit trail at every step.
• Reduce cycle time on cross-system processes like export certification and quality sign-off.
• Eliminate manual status chasing between production, compliance, and logistics teams
• Keep workflows running even when a downstream system is delayed or data is incomplete
• Full traceability on every decision — audit-ready by design
• Reduce cycle time on cross-system processes like export certification and quality sign-off.
• Eliminate manual status chasing between production, compliance, and logistics teams
• Keep workflows running even when a downstream system is delayed or data is incomplete
• Full traceability on every decision — audit-ready by design
Supports SaaS, on-premise, ERP, and internal systems. Available as Cloud or On-premise / BYOC deployment to meet your data sovereignty and security requirements.
Fastest time to value. Managed infrastructure. Suitable for operations teams ready to deploy within weeks.
Full data sovereignty. Your infrastructure. Recommended for
EEC, BOl, and regulated industrial operators.
Most AI tools are stateless — they respond to a prompt and stop. Worker is designed for operational continuity. It maintains state across long workflows, handles exceptions when systems fail or data is missing, coordinates across teams and channels, and carries work to a completed outcome. It’s an AI teammate, not an AI assistant.
No. Worker connects to your existing systems — SAP, Oracle, internal platforms, IoT feeds, government portals — via API, event, queue, or RPA. There is no rip-and-replace. Worker acts as the operational layer on top of what you already have.
Worker is built with durable, stateful workflows. If a downstream system is slow, a step changes, or a human approval is needed, the workflow pauses, waits, and resumes — it doesn’t break. Failure paths, retry policies, and escalation gates are designed in, not bolted on.
Every workflow step is logged — including decisions made, exceptions encountered, and approvals granted. Worker supports role-based access control, data segmentation, and full audit trails at the step level. It is designed to meet the governance requirements of enterprise and regulated environments.
Yes. Worker is available as Cloud, On-premise, or BYOC (Bring Your Own Cloud) deployment. You choose the level of infrastructure control that matches your data sovereignty and security policies.
Worker is designed for operations and business teams, not just IT. Its modular architecture means you can start with the workflows that matter most — without rebuilding your entire stack. Implementation is supported by Worker’s technical team from scoping through go-live.
Worker is built for organisations with high operational volume, cross-system complexity, and the need to govern AI at enterprise scale. If your teams are spending time on coordination, follow-ups, and manual handoffs — Worker carries that work to the outcome, consistently and traceably.