The original Tenbound interview with Katherine Andruha focused on sales development leadership and operational excellence. Her associated ABM materials emphasized ideal-customer definition, structured outreach, and SDR/AE collaboration. Those ideas remain useful in 2026, but leaders now have to apply them across human and AI-assisted work.
Scale begins when quality no longer depends on one leader personally checking every decision.
Publish the operating model
Every person in the revenue team should be able to find:
- the target market and explicit exclusions;
- buying situations and qualifying signals;
- roles, problems, and approved claims;
- account and opportunity ownership;
- qualification and handoff evidence;
- service levels;
- metric definitions;
- escalation and override paths.
Keep the document short enough to use. Link every policy to examples and to the system that enforces or measures it.
Standardize quality before activity
Define observable quality for each stage:
| Stage | Quality evidence |
|---|---|
| Account selection | ICP fit and current trigger |
| Research | dated source and relevant implication |
| Outreach | supported claim and appropriate next step |
| Conversation | buyer context and problem evidence |
| Qualification | agreed criteria and unknowns |
| Handoff | complete context and named follow-up |
Review a small sample every week. Publish calibrated examples so managers and representatives apply the same standard.
Build manager calibration
If two managers score the same work differently, adding representatives will magnify the inconsistency.
Run a monthly calibration:
- select representative account, message, call, and handoff samples;
- have managers score independently;
- compare the evidence behind each score;
- change the rubric only when the standard is unclear;
- record the decision and a positive example;
- coach the revised standard with each team.
Gallup's manager-development guidance favors recurring feedback, check-ins, developmental coaching, and progress reviews. Calibration turns that cadence into a reliable organizational capability rather than a manager's personal style.
Align SDR and AE incentives
The handoff is a shared operating boundary. Track:
- qualified conversations;
- accepted opportunities;
- rejection reasons;
- time to first AE action;
- stage progression;
- closed outcomes by originating segment;
- repeated evidence gaps.
Give SDR and AE leaders a shared weekly review. If acceptance falls, inspect the specific handoffs before changing the qualification threshold or compensation plan.
Develop roles through demonstrated capability
Create a progression path based on work:
- market and account judgment;
- research and evidence;
- written and verbal communication;
- discovery and qualification;
- process reliability;
- peer coaching;
- experiment design;
- pipeline and customer understanding.
For each level, show the expected autonomy, evidence, and examples. Separate promotion readiness from a temporary territory advantage.
Put AI inside the same standard
AI-generated research or outreach does not need a lower quality bar. Require:
- source and freshness;
- distinction between fact and inference;
- versioned instruction or skill;
- human review where risk warrants it;
- buyer-response and downstream-quality evidence;
- pause conditions for hallucination, privacy, or compliance failures.
The leader's task is not to maximize AI usage. It is to decide where assistance improves the operating model without obscuring ownership.
Scale through one review cadence
A useful weekly leadership view includes market coverage, reviewed quality, accepted pipeline, handoff defects, manager coaching themes, experiments, incidents, and named corrective actions.
Operational excellence is not administrative consistency for its own sake. It lets a growing team learn from the same evidence, protect buyer experience, develop people fairly, and create pipeline without losing the judgment that made the original motion work.