If agents review each other without debt limits, approval becomes throughput theater instead of control.
Review debt limits define how much machine-approved work can sit in the system before independent evidence, fresh context, or operator attention is required.
Autonomous teams can copy the worst human habit in operations: rubber-stamping work because the queue is loud and nobody wants to be the bottleneck.
Heads of Growth get speed without letting machine review become an internal ritual that hides risk until a customer, rep, or manager finds the miss.
Once a company has multiple agents, it is tempting to make them supervise each other. One builds. One reviews. One updates status. One posts the summary. The workflow looks mature because every action has a checkpoint.
But a checkpoint is not control if the reviewer lacks independence. If the reviewing agent reads the same stale ticket, trusts the same incomplete logs, shares the same objective, and is rewarded for clearing the same queue, the approval is mostly theater. The organization gets a green status without new certainty.
Review debt limits make this visible. They treat low-quality approvals as debt that can accumulate only up to a controlled threshold.
Require logs, diffs, test output, screenshots, customer artifacts, or source data before a review can count as verified.
Track whether the reviewer used different context, different tools, different samples, or a different objective from the builder.
Raise the review threshold for customer-facing copy, revenue-system changes, account routing, pricing promises, and production operations.
Cap the number of machine-approved items waiting without human sampling, rollback proof, or post-deployment checks.
Review debt limits should not make every agent wait for a manager. That would destroy leverage. Routine, reversible, well-tested work can still move quickly when the evidence is strong and the blast radius is low.
The limit matters when approvals are thin. If five campaign drafts were checked only for grammar, that is review debt. If a routing rule passed because the same CRM snapshot looked clean twice, that is review debt. If an agent approved a forecast correction without checking the source contract, that is review debt. The system should let some of this through, but not endlessly.
Count any approval that lacks independent evidence, fresh source checks, meaningful sampling, or post-change verification.
Use lower limits for customer-visible work, revenue truth, permission changes, outbound volume, and anything hard to roll back.
Discount approvals when the reviewer shares the builder's context, prompt, owner, incentive, or data source.
Do not let old reviews justify current work. Evidence decays when data, campaign state, accounts, or priorities change.
When debt crosses the limit, pause the lane, require stronger proof, sample with a human, or roll back the riskiest batch.
A writing agent creates a personalized outbound sequence. A review agent confirms the copy is clear, on-brand, and formatted. Nobody checks whether the account signal was current, whether the contact matched the trigger, or whether the claim was allowed. The review passed, but the trust risk was never reviewed.
A different agent changes lead routing for enterprise accounts. The reviewer samples the before-and-after assignment, checks source fields, confirms owner capacity, tests rollback, and verifies two edge cases. That approval creates confidence because it added information the builder did not already have.
What percentage of reviews cite concrete evidence instead of repeating the builder's summary.
How often reviews use fresh samples, alternate sources, separate tools, or different objectives.
How quickly weak approvals are resolved through tests, audits, human samples, rollbacks, or stronger post-checks.
Machine workers make approval cheap. That is useful until approval becomes meaningless. In a revenue organization, a weak review can touch customers, routes, reps, forecasts, and brand trust before anyone notices the gap.
The operator move is to budget review debt like financial debt. Carry a little when speed matters. Pay it down fast. Never let the organization confuse a chain of machine approvals with a real increase in certainty.
Separate evidence-backed reviews from summary-only, same-context, stale-context, and formatting-only reviews.
Define maximum review debt by lane: outbound, routing, enrichment, reporting, customer promises, and production ops.
Require tests, samples, fresh source checks, rollback proof, or human review when a lane crosses its debt limit.
Trace customer complaints, rep overrides, failed deployments, and forecast corrections back to the review quality that allowed them.
Before agents review each other at scale, give every operating lane a review debt limit.