Product / Allocation
Put the next AI dollar where it can work harder.
Identify unproductive spend, recommend better uses, and leverage each result to improve the next decision. Convert governance into a live capital allocator operating inside customer-defined guardrails.
Allocation system
Recommend and act today. Automate over time.
Where evidence is strong, Arbitir recommends action and workflows to execute.
- 01
Recommendations
Identify where capital should be recovered, increased, tested, or left unchanged.
- 02
Decision engine
Combine performance evidence, policy constraints, confidence, and business context into an explainable action.
- 03
Capital tests
Use controlled rollouts to learn whether incremental spend produces incremental output.
- 04
Self-reinforcing loop
Feed approvals, interventions, and realized outcomes back into future recommendations.
Decision engine
Put the next dollar behind the highest credible marginal return.
Sample recommendations show the shape of the product: increase, recover, test, or hold. Every decision remains explainable and subject to customer-defined constraints.
| Allocation | Change | Confidence | Action |
|---|---|---|---|
| Enterprise sales · Claude Cowork | +$18,000 / mo | 92% | Increase |
| Sales development · Perplexity | +$6,500 / mo | 35% | Test |
| Customer success · Perplexity | $0 | 78% | Hold |
| RevOps project · mixed | −$7,200 / mo | 99% | Recover |
Leverage
Locate the highest return, then extend it across the role.
The most useful finding is not the largest spender. It is the highest return on the same dollar, and the practice behind it.
A. Whitfield. 2.1x the median spend, 3.4x the median pipeline: 1.6x the return per dollar.
Account research before the first call
A. Whitfield · Enterprise AE
- 01Pull the last four earnings calls and the risk factors from the 10-K.
- 02Write the three questions the buyer cannot answer from their own website.
- 03Build the agenda from those three questions and nothing else.
They write it themselves. Nothing is read from their account.
Extended to 9 AEs at $610 a month. One ledger row each.
The 9 on the playbook
Peers, same segment, no playbook
Pipeline per AI dollar, 60 days either side.
Medium confidence. A reading, not a cause.
Feedback loop
Every decision makes the next allocation smarter.
The objective is not to minimize AI spend. It is to continuously improve the productivity of the capital portfolio.
- 01
Observe
See spend, ownership, and budget performance.
- 02
Define
Declare the business output that matters.
- 03
Measure
Build evidence on what incremental capacity produces.
- 04
Move
Recover, increase, test, or hold capital.
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.