Update
Custom AI Workflows
Build more precise qualification, routing, and follow-up logic around the way your team actually works.
No two revenue teams operate exactly the same way. That is why OrcaPulse now makes it easier to design custom AI workflows around your own sources, handoffs, routing rules, and qualification logic.
This release gives teams more flexibility without forcing them into rigid templates or disconnected automations.
Why customization matters
Lead qualification is never one-size-fits-all. Different teams care about different signals, different deal sizes, and different response paths.
Custom AI workflows let teams shape the logic around their own motion instead of bending their motion around the software.
Designing workflows
Teams can define how inbound signals should be categorized, which leads should be prioritized, and where each conversation should go next.
That could mean routing enterprise leads differently than self-serve interest, or applying separate follow-up logic for social comments and direct inbound inquiries.
Better follow-up logic
The workflow improvements are not just about routing. They also make follow-up more relevant by pairing lead context with the right action at the right time.
This helps reduce response delays and creates a more intentional journey from first signal to meeting or opportunity.
Scaling with control
As teams scale, the number of edge cases grows quickly. Custom AI workflows give operators more control over those edge cases without creating operational chaos.
That balance between flexibility and structure is what makes the system useful for both lean teams and larger, more complex go-to-market organizations.