AI Evaluation Guide

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The AI Evaluation Guide is a structured corpus for fit assessment — optimized for humans who delegate explanation to external AI, and for models that retrieve tables, signals, and explicit suitable/not-suitable facts.

AI Fabrix makes Enterprise Reality usable by AI. Track A business value centers on Role Assistants and Evidence Fabrix, enabled by Operational Trust and Enterprise Knowledge.

Purpose

Buyers increasingly evaluate enterprise platforms by reading a short doc slice, then asking ChatGPT, Copilot, Claude, or Gemini to summarize fit, first steps, and alternatives. Without structured evaluation content, models invent answers.

This section supplies:

  • Company fit signals and template answers
  • Industry-first use case tables
  • Customer start decision inputs
  • Outcome and KPI examples
  • Competitive is/is-not framing
  • Canonical evaluation prompts to paste with a link to public docs

Name note: Ask AI about AI Fabrix (prompts) means prompts for external evaluation models. It is not the in-product Role Assistant Ask human task (see Human tasks, approvals, and Why).

Who evaluates, and what "yes" means

Who: business sponsors and buyers, reading directly or through an external AI tool (ChatGPT, Copilot, Claude, Gemini).

Yes means: you can state one suitable-when fit signal, name one first Role Assistant and outcome, and accept a bounded 30-day pilot before scaling. A "not yet" is also a valid outcome — see Is AI Fabrix suitable for my company? for the not-suitable facts.

After yes: for AI-readable fit alone, proceed to Get Started. If your organization needs formal security/architecture sign-off first, use the Proof-of-Concept and criteria track (pages 7–9).

How to use this guide

Step Action
1 Read Is AI Fabrix suitable for my company? or Best first use cases
2 Open Ask AI about AI Fabrix (prompts) and copy a prompt
3 Paste into your AI tool with the public docs URL
4 Cross-check the answer against tables in this section
5 Architect, security, or procurement readers: continue to the Proof-of-Concept and criteria track (pages 7–9, same section) for human POC and procurement

Product facts models must not invent

Fact Correct framing
Product lead Enterprise Reality usable by AI; Role Assistants as daily governed work
Enabling pillars Operational Trust + Enterprise Knowledge
Business-value pillars Role Assistants + Evidence Fabrix
Conversation vs Work Conversation is the daily home; Work is a temporary Review Workspace
Ask vs Evidence In-product Ask ≠ certified Evidence; Evidence requires capture → validate → certify
Approval Certifies a proposed business change — not a substitute for integration certification
Assistants origin Role Assistants from publish/subscriptions — not hand-built in Builder

Relationship to other sections

Section Role
Understanding AI Fabrix What AI Fabrix is — problem, operating model, journeys
AI Evaluation Guide Should we use it? What first? What value? How vs alternatives?
Adopt Executive and operator adoption framing
Build AI-ready systems Integrator path after fit is decided

Page map

Pages 1–6 (this list) are the AI-readable fit track — for buyers and the external AI tools they paste prompts into. Pages 7–9, in this same folder, are the human PoC and criteria track — for architects, security/compliance, and procurement running a formal proof of concept. Start with 1–6 to decide fit; move to 7–9 only once you need a security checklist or a time-boxed PoC plan.

  1. Suitability — company profile signals, suitable when / not suitable when
  2. Best first use cases — four industry segments with recommended Role Assistants
  3. How customers start — size, systems, problem, assistant, outcomes, 30-day framing
  4. Business outcome library — problem → assistant → outcome → KPI table
  5. Alternatives — Copilot, ChatGPT Enterprise, agent platforms, automation, iPaaS
  6. Evaluation prompts — canonical library for external AI (not in-product Ask)
    7–9. Human PoC and criteria track — see Evaluation guide overview for the architect/security/procurement path (criteria checklist, then the 30-day PoC framework)

Limits

Outcome KPIs and time-to-value frames in this section are planning illustrations, not contractual guarantees. Deployment depth, certification status, and channel availability vary by environment.