Use case / Customer success
Allocate AI behind retention and expansion.
Connect AI capacity to the customer work that improves account coverage, renewal progression, expansion pipeline, and customer outcomes.
Who it is for
CCO / Customer Success
Own retention and expansion productivity across segments, books of business, and customer workflows.
Arbitir connects CSM AI capacity to account coverage, renewal progression, expansion, and leading customer signals so investment can follow the workflows that improve retention and growth.
- “Which CSM workflows benefit from more AI capacity?”
- “What are my teams spending on?”
- “Where is spend misaligned with role and output?”
- “Which teams or users are over- or under-funded?”
- “Where is spend driving better renewal and expansion outcomes?”
- “Which playbooks should be replicated across books of business?”
Outcomes
What a CSM is measured on.
Retention matures slowly, so the product records the lag.
| Outcome | Horizon | Reads at | 90 days | AI cost per unit |
|---|---|---|---|---|
| Upsell pipeline created | Proximal output | +7d | $4.10m | $0.0036 per dollar |
| Expansion closed won | Financial outcome | +30d | $1.62m | $0.0091 per dollar |
Upsell pipeline moves within a week. Expansion closed won matures for a month behind it.
Value model
Connect capacity to the function's operating outcomes.
Each use case runs the same Arbitir loop: observe capital, define output, measure what changes, move the allocation, and scale what works.
- 01
Account-level economics
Put AI spend alongside account ownership, segment, and customer output.
- 02
Renewal progression
Track leading signals such as risk movement and renewal-stage progression while NRR matures.
- 03
Expansion productivity
Connect AI-supported workflows to expansion pipeline and realized expansion.
- 04
Capital by segment
Adjust budgets and playbooks based on where incremental capacity appears productive.
How Arbitir helps
Capacity by segment
Understand AI spend and utilization by CSM, team, customer segment, and book of business so leaders can see where support capacity is concentrated or constrained.
Customer outcome mapping
Connect AI activity to customer-defined outcomes such as renewal progression, expansion pipeline, account coverage, health movements, and eventually retained or expanded revenue.
Playbook replication
Find workflows and cohorts where AI capacity appears to improve customer outcomes, then recommend where successful approaches should be extended, tested, or funded further.
Start allocating AI spend toward what works.
We grant access to a select number of companies each month, based on fit. Describe how AI spend is governed today and we will respond within two business days.