Start an Outcome-Based Pricing Consultancy for the Recovery Industry

1. 1

   Codify the convergence insight

   Your thesis is that outcome-based pricing (fees tied to recovered amounts) has become the durable structure of the recovery industry, adopted by both human contingency agencies and AI platforms despite very different costs. That convergence is your selling point: outcome pricing is not a fad. Use it to open conversations with operators still pricing on cost or time.

2. 2

   Map the pricing patterns

   Document the live structures: percentage-of-recovery contingency schedules that rise with claim age, platform-fee-plus-success models used by AI vendors, and hybrids that blend a floor with upside. Show how each shares risk between provider and creditor. This catalog is the backbone of your engagements.

3. 3

   Design for the client's cost base

   A human agency and an AI platform have different cost structures, so the same headline percentage means different margins; help each client set outcome pricing that funds their real costs (labor and compliance for agencies, compute and compliance for AI) and still wins deals. Getting this wrong prices an operator into losses. Your value is a model tuned to their economics.

4. 4

   Stress-test against recovery reality

   Because recovery rates fall as debt ages and vary by type, outcome pricing must be stress-tested against realistic recovery curves, not best cases. Model downside scenarios so the client is not exposed by optimistic assumptions. Robust pricing survives bad portfolios, which is exactly when weak pricing breaks operators.

5. 5

   Sell fixed-scope pricing engagements

   Offer pricing-design and pricing-audit engagements with clear deliverables, at high advisory margins (roughly 50 to 80 percent net). There is no income promise; demand depends on the churn of new AI entrants and agencies rethinking pricing. Your referenceable wins, showing a client priced to both compete and profit, drive your pipeline.

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