Procurement asks "what does the AI cost us per outcome?" and your reps have no answer. The deal stalls, or the AI gets discounted out to close. Meanwhile NRR softens as customers automate work and trim seats at renewal.
For Growth teams · $15M–$50M ARR · 50–250 employees
We keep losing to a competitor on price and I don't know whether to match them or reframe.
My reps are hitting quota but we're not hitting NRR — they're selling the wrong deals.
What happens to our NRR when customers need fewer seats because the AI does more of the work?
Reps are selling AI features they can't put an ROI number on. The problem isn't sales execution — it's pricing architecture, showing up in your pipeline.
Reps are selling features while procurement is buying outcomes. The spend never gets justified internally, so deals stall in committee or go to a competitor who can put a number on it.
When value isn't priced, reps fall back on discounts to close. Realised ASP runs well below list. The lowest discount becomes the new floor, and margin leaks invisibly.
Your expansion motion was built on adding seats. AI means customers do more with fewer. The model has no mechanism to capture consumption upside as headcount falls.
Commission rewards closed ARR regardless of margin, length or expansion potential. Reps optimise for the metric they're paid on, and CS inherits accounts built to churn.
The pattern is consistent across CROs in your space, and it escalates:
Deal cycles extend 60–120 days as procurement can't map the AI to a budget line
Competitive losses get logged as "price" when the real cause was an un-made value case
NRR underperforms despite strong new-ARR numbers — the classic signature of comp misalignment
Reactive price cuts to win deals damage the entire installed base without fixing the messaging
The CROs winning AI deals walk into procurement with a value model: cost per outcome, hours saved per FTE, numbers the buyer can defend internally.
Cost-per-outcome and ROI tooling that turns the AI from a conversation-stopper into a deal accelerator, built into the sales motion where reps will actually use it.
Value-selling playbooks and differentiated positioning so deals are won on value even when a cheaper AI competitor is in the room.
Capture credit and consumption growth without needing a full renewal conversation, so NRR rises with adoption instead of falling with seat counts.
Engagements where the pricing problem was showing up in the pipeline first.
NRR had slid from 118% to 102% as AI automated pipeline and forecasting work and seat counts dropped at renewal. We designed a per-seat base plus an AI-usage tier and modelled the NRR impact. Trajectory reversed and stabilised at 110% within two quarters.
A recruitment platform had set UK pricing by flat currency conversion and was stalling on perceived price. We ran localised WTP research, built market-specific packaging and reseller terms, and launched both markets inside 90 days with value-based positioning.
Reps had unlimited discount discretion and margins varied wildly by region. We introduced tiered discount authority, CPQ tooling and globally consistent packaging with regional overlays, stabilising enterprise margin ahead of a planned liquidity event.
Ayon helped us build a pricing strategy, review value messaging, and ensure packages were priced to value.
12–16 weeks · $15M–$50M ARR · 50–250 employees · NDA on request
Bring one stalled AI deal and your current discount data. You'll leave with the outline of a value model your reps can take into the next procurement conversation, and a view on where NRR is really leaking.
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