Why ProcureTech Demos Predict Sales, Not Success

Posted on January 26, 2026

0


By Jon W. Hansen | Procurement Insights


We ran a RAM 2025 5-model consensus analysis on ProcureTech AI demos — not to evaluate features, but to answer a simple question:

How useful are demos for predicting successful outcomes?

The result:

8.8 / 10 — Selling the software

2.8 / 10 — Predicting implementation success


The Pattern

Demos excel at showing engines: features, speed, automation metrics, UI polish.

Demos fail at showing steering wheels: governance, accountability, verification, and human readiness.

What Demos Show Well:

  • Feature demonstration: 7.4
  • Marketing differentiation: 6.4

What Demos Hide:

  • Verification protocols: 1.2
  • Accountability structures: 1.4
  • Organizational readiness: 1.4

The Problem

Demos are designed to answer: “What can this software do?”

They should answer: “What happens when this software meets your organization?”

That’s why the 80% implementation failure rate persists — despite increasingly impressive demos.


The Bottom Line

Until vendors replace demos with diagnosis, successful outcomes will remain accidental.


The Full Analysis

The complete Demo Effectiveness Analysis includes detailed model-by-model scoring across 13 dimensions, the full steering wheel criteria breakdown, and the Phase 0™ diagnostic framework for evaluating ProcureTech readiness before vendor selection.

Full analysis available to Procurement Insights subscribers.


Editor’s Note: Subscribers to Procurement Insights have access to the complete Demo Effectiveness Analysis™ — including the 5-model consensus methodology, all 13 evaluation dimensions, governance gap implications, and the Phase 0™ diagnostic framework for evaluating vendor readiness before selection.

-30-

Posted in: Commentary