01
No value metric
Without a value metric, sellers fall back to hours, tools, or generic consulting language instead of buyer outcomes.
Book an AI Revenue Strategy Call
AI Pricing & Packaging
Scaletics helps MSPs turn AI capability into clear packages, value metrics, margin guardrails, tier logic, and expansion paths that sellers can defend.
30 min. No pitch. Revenue Strategy Review.
The Pricing Gap
If AI is bundled into existing managed services, scoped as one-off project work, or priced as a vague add-on, the MSP absorbs the work while the client captures the value. Pricing has to connect effort, risk, buyer outcomes, and expansion potential.
01
Without a value metric, sellers fall back to hours, tools, or generic consulting language instead of buyer outcomes.
02
AI support, enablement, data cleanup, and governance work can expand quickly if service boundaries are not priced.
03
Buyers need a clear path from readiness to managed governance to workflow expansion.
04
Pricing only works if sellers can explain the business case, defend the package, and move the buyer to the next step.
The Scaletics Pricing System
The goal is not a clever price point. The goal is a pricing architecture your team can sell, deliver, renew, and expand without eroding margin.
Step 01
Clarify which buyer pain deserves a paid AI service: usage awareness, data readiness, governance, workflow enablement, or managed expansion.
Step 02
Connect price to account size, users, workflows, data scope, governance complexity, reporting cadence, or managed service tier.
Step 03
Create starter, managed, and expansion tiers with clear inclusions, exclusions, escalation paths, and proof of value.
Step 04
Package the pricing with discovery prompts, ROI framing, objection handling, proposal language, and QBR expansion prompts.
What We Build
Every pricing engagement is tied back to execution: the offer must be sellable, deliverable, trackable, and expandable.