EvenUp
Sell capacity and margin per completed case, not cheaper tokens.
5 minutes saved × 520,000 cases ≈ 43,333 hours/year.
At $65/hour, that is about $2.8M in annual capacity value before compute, retries or cycle-time gains.
The constraint is often not intelligence or software. It is specialist attention: review, coordination, judgment, exception handling and follow-up. EXUP targets that constraint so scarce human attention can cover more completed work. The gain must be measured; if the agreed improvement is not verified, there is no value fee.
The value is not “AI efficiency”. It is additional accepted output from the same constrained organization.
Illustrative arithmetic only — not a claim of customer savings or expected EXUP performance. Every engagement uses the customer's actual baseline, acceptance criteria and measured result.
Sell capacity and margin per completed case, not cheaper tokens.
5 minutes saved × 520,000 cases ≈ 43,333 hours/year.
At $65/hour, that is about $2.8M in annual capacity value before compute, retries or cycle-time gains.
Sell analyst leverage: more accepted analysis per analyst hour.
2 minutes saved × 1M analyses = 33,333 hours/year.
At $150/hour, that is about $5M in annual capacity value. Ten minutes would imply about $25M.
Sell Legal Engineer leverage: more production-grade agent workflows per specialist.
20 → 25 workflows per Legal Engineer = +25% capacity.
For 100 specialists at a $250k loaded cost, that is capacity equivalent to roughly $6.25M/year.
These examples are scenario models, not claims about customer costs or realized savings. Pilot economics are calculated from the customer's actual baseline and measured outcomes.
It can be operational, analytical, administrative, technical or AI-enabled. If it has a defined outcome and a measurable baseline, we can test whether better economics are possible. If the agreed improvement is not verified, there is no value fee.
Find the value gap