Process Discovery
WIQ reconstructs real workflows from data—no interviews, no workshops. See how your teams actually get work done across tools and systems, and use that truth as your baseline for improvement.
Automated Process Mapping
WIQ identifies recurring patterns in activity data from browsers, desktop apps, and integrations. It rebuilds each workflow step-by-step, untangling complicated, interlocking team processes.


Multi-System, Multi-Team Support
Real work spans far more than one system. Teams jump between internal tools, shared documents, emails, phone calls, and chats, often handing cases off to each other. WIQ reconstructs these multi-system, multi-user workflows end-to-end, giving you a complete view of how work truly moves across the organization.
Human-in-the-Loop Refinement
WIQ doesn’t replace your process knowledge—it sharpens it. Review and edit discovered workflows to align with how work should happen, creating a definitive baseline for future automation or training.

WIQ is an AI-powered platform that helps organizations understand, optimize, and automate their business processes. It observes how work actually gets done across tools and teams, reconstructs workflows, and creates a live map of human processes.
Process Discovery:
Reconstructs and visualizes real workflows across apps and teams.
Impact Modeling:
Detects bottlenecks and ranks automation opportunities by ROI.
Agent Readiness:
Generates deployment-ready specifications for automation agents.
Governance:
Monitors agents and workflows to ensure compliance with SOPs.
Scalability:
Enables organizations to deploy and manage automation at scale.
Enterprises and teams looking for:
- Eliminate manual bottlenecks
- Quantify automation ROI before investing
- Speed up automation/AI deployment
- Maintain compliance and oversight while scaling automation
WIQ connects to browser activity, application logs, system-of-record data, and standard operating procedures. This allows it to capture a complete picture of how work is performed across tools without requiring lengthy discovery projects.