Revenue Architecture Manchester | Biz Growth Spurt
For growth leaders
AI is stalling your deals instead of closing them.
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
The pattern
Your pipeline is telling you it's a pricing problem.
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?
Underneath it
What's actually going wrong.
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.
No ROI model for the AI
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.
NRR softening as seats fall
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.
Discounting as a reflex
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.
Comp plan fighting the strategy
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.
Cost of waiting
Pricing is rarely the priority. Until suddenly it is.
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
First moves
Where I'd focus first.
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.
01
An AI value model reps can use
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.
02
Remove price as the objection
Value-selling playbooks and differentiated positioning so deals are won on value even when a cheaper AI competitor is in the room.
03
An expansion motion built for AI
Capture credit and consumption growth without needing a full renewal conversation, so NRR rises with adoption instead of falling with seat counts.
Proof
Engagements that match where you are.
Engagements where the pricing problem was showing up in the pipeline first.
102% → 110%
NRR recovery · two quarters
$15M–$50M ARR · Series B, AI in market
A hybrid model captured value as seats fell.
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.
CRM / Revenue Intelligence
90 days
to UK + Canada launch
$6M–$22M ARR · Series A, expansion
Market entry priced on local willingness to pay.
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.
HRTech / Workforce SaaS
$400M ARR
margin stabilised across regions
$200M–$500M ARR · Growth equity / pre-IPO
Governance replaced regional GMs pricing by instinct.
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.
Fitness / Wellness SaaS
Ayon helped us build a pricing strategy, review value messaging, and ensure packages were priced to value.
Chief Revenue Officer · AdTech SaaSName covered under NDA · reference available on a call
12–16 weeks · $15M–$50M ARR · 50–250 employees · NDA on request
Turn AI from a deal blocker into a deal accelerator.
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.
30 minutes. You leave with a view of where the revenue is going.
Not you? Executive view · Product view · Finance view · AI-native view
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Email: ayon.b@bizgrowthspurt.uk