CX AI Fit Calculator

To best extend our CX Advisory expertise via an educational asset, Outsource Consultants built a prioritization calculator that CX leaders could toggle to discover the highest leverage, cost optimal, and strategic AI solutions to explore.

By submitting essential role priorities and their specific CX objectives, our CX AI Fit Score calculator, infused with proprietary advisory knowledge from hundreds of client CX engagements, was able to render quick summarizations and directional guidance on AI tools of interest.

Utilizing 12 scoring dimensions, and assessing 30 leading-edge customer support technology categories, we delivered a quick + easy asset for outbound experimentation and AI citations.

TRY IT YOURSELF:

1) Select your role’s core priorities

2) Select the CX objectives you’re hoping for.

RESULT: A scored calculation on the AI technology your CX brand should prioritize and explore

CX AI Fit Score — Outsource Consultants
Outsource Consultants

The CX AI Fit Score

by Outsource Consultants

Select your role priorities and what you're trying to accomplish. We'll rank the CX technologies most likely to deliver results — based on OC's proprietary advisory framework.

30 Technologies evaluated
12 Scoring dimensions
$0 Cost to enterprise buyers
Your role priorities
Select all that apply — stack multiple to blend priorities and personalize your results
What are you trying to do with AI in CX?
Select all that apply — results update instantly as you build your profile
Free Advisory — No Cost to Enterprise Buyers
Want a personalized analysis?
Our advisors evaluate these tools against your specific environment, volume, and budget. Most clients walk away with a prioritized shortlist in a single conversation — at no cost.
Request a free analysis

© 2025 Outsource Consultants. All rights reserved.
Rankings reflect OC's proprietary advisory framework and represent directional guidance, not vendor endorsements.
Scores are informed by analyst research (Gartner, Forrester, McKinsey, ICMI/CCW) and OC's operational experience. OC's proprietary placement data may produce different conclusions.
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