ROI & KPI Library

Adopting AI at enterprise scale requires clear evidence of value. AI Fabrix provides a structured ROI & KPI framework that enables organizations to measure progress, demonstrate outcomes, and align AI adoption with business strategy.

Table of Contents

1. Why KPIs Matter
2. KPI Categories
3. ROI Dimensions
4. Next Steps

Why KPIs Matter

Many AI pilots fail because success is not defined upfront. Fabrix addresses this by embedding governance, observability, and cost tracking into the platform, allowing enterprises to measure:

• Business impact — How AI reduces time, errors, or costs.
• Adoption — How widely and consistently AI is used across the enterprise.
• Compliance — How well AI usage aligns with policies, regulations, and audits.
• Economics — Whether spend aligns with projected budgets.

KPI Categories

1. Time to Production

• Definition: Average time to promote a proof-of-concept (PoC) into production.
• Why it matters: Shorter cycles reduce innovation risk and accelerate ROI.
• Example metric: PoC-to-production in <90 days.

2. Compliance Coverage

• Definition: Percentage of AI workflows governed by policy packs and audit logging.
• Why it matters: Ensures all deployments meet enterprise and regulatory standards.
• Example metric: 100% of agents with active audit trails.

3. Adoption Metrics

• Definition: Measurement of user and system adoption.
• Why it matters: Demonstrates real business uptake, not just technical feasibility.

• Example metrics:

  • Number of active users per month.
  • Number of connectors integrated.
  • Number of governed AI agents in operation.

4. Cost Predictability

• Definition: Alignment of actual Azure + Fabrix subscription spend with projected budgets.
• Why it matters: Prevents hidden costs that often derail AI programs.
• Example metric: Variance between projected vs. actual spend ≤10%.

ROI Dimensions

Fabrix enables enterprises to report ROI in multiple dimensions:

• Productivity Gains: Time saved per employee on knowledge retrieval or document preparation.
• Compliance Savings: Reduced effort for audit, risk reporting, and regulator approval.
• IT Efficiency: Centralized platform reduces integration complexity and duplicate spend.
• Innovation Velocity: Faster experimentation cycles without sacrificing governance.

Next Steps

[[PLACEHOLDER: Add industry-specific ROI benchmarks and customer quotes as they become available.]]

This KPI library serves as a baseline measurement framework. Enterprises can tailor it to their own industry, regulatory requirements, and business goals.