Question 1

What is SaaS spend management?

Accepted Answer

SaaS spend management is the practice of tracking, budgeting, and optimizing subscription software across your organization—so finance and IT know what you pay for and whether it matches real usage. It combines invoices, contracts, renewals, and usage signals in one place instead of scattered spreadsheets. The goal is visibility and control: fewer surprise renewals, less waste, and clearer decisions about what to keep, consolidate, or cancel.

Question 2

How do I find unused SaaS licenses?

Accepted Answer

You find unused licenses by comparing assigned seats and contracts to actual usage—logins, SSO activity, and app-level usage where available. Many organizations pay for seats that sit idle after role changes, team churn, or duplicate tools across departments. A platform like OptyStack helps surface those gaps quickly so you can reclaim licenses or downgrade before the next bill cycle.

Question 3

What is shadow IT discovery?

Accepted Answer

Shadow IT discovery is the process of identifying software that employees adopt or purchase outside official IT and procurement channels—often paid on corporate cards or brought in as free trials. It matters because unmanaged apps can hold sensitive data without your standard security or compliance controls. Discovery gives you an inventory of those tools so you can assess risk, consolidate duplicates, and bring critical apps under governance.

Question 4

How does SaaS cost optimization work?

Accepted Answer

SaaS cost optimization aligns what you pay with what the business actually needs and uses. That typically means eliminating redundant tools, right-sizing plans, reclaiming unused seats, and timing renewals with better data. It is an ongoing practice: measure usage, prioritize quick wins, and use spend and contract visibility to negotiate or cancel with confidence.

Question 5

What is shadow AI?

Accepted Answer

Shadow AI refers to generative AI tools, copilots, or model APIs that people use without going through approved IT, security, or procurement processes. Data may be sent to third-party models without classification, logging, or policy review, which raises privacy and compliance concerns. Finding shadow AI helps you enable innovation safely by routing usage to approved vendors and controls.

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