Product
Build Copilot vs. Traditional Workflow Configuration: A Real Comparison
What actually changes when AI designs the workflow instead of you? We ran the comparison.
READ ARTICLEWhat Was Wrong With 1.x
PlugIQ 1.x shipped fast and solved a real problem for early customers. But as deployments scaled, three specific problems drove the decision to rebuild:
- Workflow state management was fragile. Complex workflows with conditional branches occasionally produced inconsistent states.
- Performance degraded with volume. Organizations with high transaction volumes experienced noticeable slowdowns.
- The configuration model did not compose well. Building complex workflows required workarounds that created maintenance headaches.
The Architecture Changes in 2.0
PlugIQ 2.0 is built on an event-sourced workflow engine. Every state change is recorded as an immutable event. The new engine processes workflow events concurrently and handles parallel approval paths natively.
New Features in 2.0
- Build Copilot. AI-assisted workflow configuration. Describe your process in plain language; the system builds the initial configuration.
- Luna AI. Natural language queries against your approval data.
- Delegation engine. Formal out-of-office delegation with time bounds, scope limits, and full audit trail.
- Real-time analytics. Live dashboard showing workflow performance, SLA adherence, and bottleneck identification.