Scaletics AI pricing and packaging dashboard for MSPs

AI Pricing & Packaging

Price AI servicesbuyers can understand.

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

AI pricing breaks when value is vague.

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

No value metric

Without a value metric, sellers fall back to hours, tools, or generic consulting language instead of buyer outcomes.

02

No margin guardrails

AI support, enablement, data cleanup, and governance work can expand quickly if service boundaries are not priced.

03

No tier progression

Buyers need a clear path from readiness to managed governance to workflow expansion.

04

No seller confidence

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

From capability to package, price, and expansion.

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

Define the paid problem

Clarify which buyer pain deserves a paid AI service: usage awareness, data readiness, governance, workflow enablement, or managed expansion.

Step 02

Choose the value metric

Connect price to account size, users, workflows, data scope, governance complexity, reporting cadence, or managed service tier.

Step 03

Build the tier logic

Create starter, managed, and expansion tiers with clear inclusions, exclusions, escalation paths, and proof of value.

Step 04

Equip the sales motion

Package the pricing with discovery prompts, ROI framing, objection handling, proposal language, and QBR expansion prompts.

What We Build

A pricing model sellers can use and operators can measure.

Every pricing engagement is tied back to execution: the offer must be sellable, deliverable, trackable, and expandable.

Core deliverables

  • AI service package map with inclusions and exclusions.
  • Value metric and pricing logic by service tier.
  • Margin guardrails and delivery boundary notes.
  • Upgrade path from readiness to managed expansion.

Activation assets

  • Seller talk track and pricing explanation language.
  • Objection handling for budget, scope, and ROI concerns.
  • QBR prompts that surface expansion opportunities.
  • Attach-rate measurement logic for revenue reviews.