How Progenitor Works
One agent that stands up the rest - and never stops making them better.
Set the outcome and the guardrails
You define the goal - a cure-rate lift, a faster path to promise-to-pay - and the policy it must never cross. That brief is all Progenitor needs to begin.
Control plane trigger activated
Every Agent It Stands Up
Progenitor sits above the rest of the platform - it generates what runs there, then never stops making it better.
Engagement channel agents
Progenitor writes the voice, text, and email agents that reach your consumers - tone, timing, channel choice, and when to hand off to a human - then rebuilds them as it learns what works.
- Generates prompts grounded in real outcomes
- Routes each consumer to the channel they answer on
- Rewrites the agent the moment results shift
Control plane
The control plane behind every resolution - the branch logic, routing, and guardrails - is authored, measured, and revised by Progenitor. It builds the path, then finds a faster one.
- Assembles the steps end to end
- A/B tests a better next action against live traffic
- Promotes the winner, and rolls back regressions
Insights
Every agent Progenitor builds reports back. It surfaces what is actually moving cure rates - and what your team believes but the data does not support - then folds that into the next build.
- Explains why outcomes moved, not just that they did
- Flags emerging drift before it reaches a consumer
- Turns findings into the next agent it ships
“Financial institutions don't need AI demos - they need systems that work under real policy and oversight. Krew is built for that reality in servicing and collections, and it shows.”
Michael Jones - Former President and Chief Operating Officer, TCF Bank