AI Return on Investment

AI budgets are growing. Proof of value isn't keeping pace. See which tools have genuine adoption and which are just costing you money.

ChatGPT88%DailyClaude71%DailyGlean14%MonthlyCopilot43%WeeklyNotion7%Rarely
The challenge

What makes this difficult

01

No view of actual usage

AI licenses are purchased at organization, department, and individual levels with no centralized visibility into what's being used versus sitting idle.

02

Usage data is siloed or unavailable

Each tool reports only its own usage (if at all). Cross-portfolio comparisons require significant manual effort and rarely happen before renewal.

03

Procurement happens before evidence exists

Rapid AI adoption means buy decisions are often made before any baseline usage data exists to justify or challenge the spend.

The solution

How SuperAlign
solves it.

SuperAlign analyzes network traffic and endpoint activity to track how frequently each AI tool is accessed at the organization, department, and user level. Usage trends are surfaced in the console alongside risk scores, turning AI asset inventory into a live business intelligence resource for procurement and consolidation decisions.

See it live →
Org-wide usage dashboardDepartment-level breakdownUser-level access frequencyAdoption trend viewsComparative usage analysisIdle license flaggingTool overlap identificationUsage evidence trailOrg-wide usage dashboardDepartment-level breakdownUser-level access frequencyAdoption trend viewsComparative usage analysisIdle license flaggingTool overlap identificationUsage evidence trailOrg-wide usage dashboardDepartment-level breakdownUser-level access frequencyAdoption trend viewsComparative usage analysisIdle license flaggingTool overlap identificationUsage evidence trailOrg-wide usage dashboardDepartment-level breakdownUser-level access frequencyAdoption trend viewsComparative usage analysisIdle license flaggingTool overlap identificationUsage evidence trailOrg-wide usage dashboardDepartment-level breakdownUser-level access frequencyAdoption trend viewsComparative usage analysisIdle license flaggingTool overlap identificationUsage evidence trailOrg-wide usage dashboardDepartment-level breakdownUser-level access frequencyAdoption trend viewsComparative usage analysisIdle license flaggingTool overlap identificationUsage evidence trailOrg-wide usage dashboardDepartment-level breakdownUser-level access frequencyAdoption trend viewsComparative usage analysisIdle license flaggingTool overlap identificationUsage evidence trailOrg-wide usage dashboardDepartment-level breakdownUser-level access frequencyAdoption trend viewsComparative usage analysisIdle license flaggingTool overlap identificationUsage evidence trailOrg-wide usage dashboardDepartment-level breakdownUser-level access frequencyAdoption trend viewsComparative usage analysisIdle license flaggingTool overlap identificationUsage evidence trailOrg-wide usage dashboardDepartment-level breakdownUser-level access frequencyAdoption trend viewsComparative usage analysisIdle license flaggingTool overlap identificationUsage evidence trailOrg-wide usage dashboardDepartment-level breakdownUser-level access frequencyAdoption trend viewsComparative usage analysisIdle license flaggingTool overlap identificationUsage evidence trailOrg-wide usage dashboardDepartment-level breakdownUser-level access frequencyAdoption trend viewsComparative usage analysisIdle license flaggingTool overlap identificationUsage evidence trail
What you get

Key outcomes

Fact-based renewals

Procurement and renewal decisions grounded in actual usage, not vendor metrics.

Consolidation clarity

Identify overlapping tools and idle licenses that can be cut without losing capability.

Adoption intelligence

See where AI is succeeding across the organization and target enablement investment accordingly.

Spend accountability

A continuous, auditable record of AI tool usage for finance and executive reporting.

Get started

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