AI Workflow Automation
From pilot purgatory to production. In 90 days.
Most ASEAN operations teams have already run at least one AI pilot. The prototype worked. The demo impressed the board. The implementation stalled three months later when someone had to decide who owned the exception-handling process. We pick up from that point.
Book a Discovery CallWhat we automate
We focus on operational workflows with high document volume, repetitive judgment, and clear error costs. The most common entry points for ASEAN operations teams are:
Invoice Processing
Three-way match, exception flagging, multi-currency reconciliation across ERP systems.
Contract Review
Clause extraction, obligation mapping, risk flagging against your standard terms.
Compliance Reporting
Automated data gathering, threshold monitoring, and report generation for regulatory submissions.
Procurement Intake
Purchase request classification, vendor matching, approval routing based on policy rules.
Claims Processing
Document intake, field extraction, policy matching, and adjudication queue management.
Supplier Onboarding
KYC document collection, sanctions screening, risk categorisation, and approval workflows.
The 90-day implementation approach
Ninety days is not a marketing claim. It is the operational constraint we design toward: long enough to build something that works in production, short enough that the organisation has not lost momentum or changed priorities.
Navigate: Design
Define the target workflow in detail. Map exception handling. Select and configure the technology stack. Design the integration architecture with your existing systems. Document the human-in-the-loop decision points.
Activate: Build
Build the workflow automation. Integrate with your ERP, HRMS, or procurement system. Test against real documents from your operations. Train the internal team on exception handling and system oversight.
Activate: Deploy
Parallel run against existing process. Measure accuracy and throughput. Resolve edge cases. Hand off to internal owner with documented runbook and escalation path.
Integration, not replacement
We do not require ERP migration, system consolidation, or data warehouse projects as a precondition. Our architectural approach builds a workflow layer that sits on top of your existing systems, extracting and routing data without requiring you to standardise your underlying infrastructure first.
This is the most common reason AI workflow projects fail: the vendor requires a clean data environment that doesn't exist and won't exist. We work with the systems you have, not the systems a vendor wants you to buy.