The 2026 SaaS sprawl management checklist
Editor’s note: We first published this checklist in December 2020, when SaaS sprawl was the problem everyone was trying to solve. Then came the consolidation era and a lot of IT teams assumed the work was done. It wasn’t. Our 2026 State of SaaS Report found that stacks are growing again, and AI tools have added a new layer of ungoverned access most governance frameworks weren’t built for. We’ve updated this piece to reflect what sprawl management actually looks like now.
SaaS sprawl never went away. It just got harder to see.
For a few years, organizations tightened their belts, consolidated tools, and believed they had their SaaS environments under control. But according to BetterCloud’s 2026 State of SaaS Report, sprawl is growing again; driven by AI tool adoption, decentralized purchasing, and the explosion of app-to-app integrations that no one’s governing.
The result: most enterprises have two to three times more SaaS app accounts than they think they do. And the risks that come with that like security vulnerabilities, wasted spend, compliance gaps, and ungoverned AI access compound quietly until they don’t.
This checklist is designed to help IT leaders and SaaS operations teams cut through the noise and take back control in 2026.
What is SaaS sprawl?
SaaS sprawl is the uncontrolled proliferation of software-as-a-service applications across an organization including apps purchased outside of IT, redundant tools solving the same use case, orphaned accounts from departed employees, and unsanctioned AI tools employees adopt on their own.
In 2026, shadow AI is the fastest-growing contributor to SaaS sprawl. When employees connect AI tools to core business systems without IT visibility, the exposure goes well beyond wasted spend.
Your 2026 SaaS Sprawl Management Checklist
Phase 1: Discover all apps in your SaaS environment
If your organization is small enough, you may be able to work with business users to learn about the SaaS apps in use. However, if your organization has many apps and many users, you may need to run an automated tool.
So, first up on the 2026 SaaS sprawl management checklist is to ensure full visibility of your SaaS environment. It’s important to do the following:
Phase 2: Rationalize and standardize
No 2026 SaaS sprawl management checklist is complete without discussing redundant apps. They come in two flavors:
When the same app is used, your enterprise misses out on enterprise or volume-pricing which is the easiest way to cut costs. Also, you’re probably missing out on preferred features, functionality, and support that comes with higher volume SaaS tiers. When multiple apps solve the same use case, your enterprise also misses out on efficiencies related to SaaS app standardization, like user and IT productivity.
So next on our 2026 SaaS sprawl management checklist is how IT tackles this common challenge. Here are a few things you need to do:
One useful framework: weigh business need and user adoption against security risk and integration complexity. The tool that wins isn’t always the cheapest or the most feature-rich, it’s the one that best balances all four.
Phase 3: Govern AI tool access specifically
This is the new section most 2021-era checklists didn’t have and the one that matters most in 2026.
BetterCloud’s Access and AI Control Layer is purpose-built for this: it gives IT visibility into which AI tools are touching which data, with the ability to enforce policies and act in real time.
Phase 4: Bring selected tools under IT ownership
Once the final SaaS tool decisions are made between security, IT, and the business teams, the last milestone is to bring the tools under IT support. As the new owner for the app, IT needs to:
BetterCloud’s IT Agent can automate a significant portion of this work: handling provisioning, deprovisioning, and access changes across your stack without manual tickets or IT intervention for every routine request.
Phase 5: Monitor continuously
SaaS sprawl is not a one-time problem. It returns the moment you stop watching.
SaaS sprawl doesn’t fix itself
SaaS sprawl in 2026 looks different than it did five years ago. AI tools have introduced a new category of risk that most governance frameworks weren’t built to handle, and the pace of shadow adoption has accelerated alongside it.
The organizations that manage it well share one thing: they treat SaaS governance as an ongoing operational discipline, not a periodic cleanup project.
This checklist is a starting point. The platform behind it is what makes it sustainable.
Want to learn more about how BetterCloud can help you discover, govern, and automate your SaaS environment (including AI tool access)? Schedule a demo.
FAQs
How can IT teams manage SaaS application sprawl efficiently?
The most efficient way to manage SaaS application sprawl is through a structured, four-step approach: discover all apps in your environment (including OAuth-connected and shadow AI tools), rationalize and consolidate redundant tools, bring sanctioned apps under IT ownership with automated provisioning, and monitor continuously rather than running one-time audits. Organizations that treat SaaS governance as an ongoing operational discipline rather than a periodic cleanup project are most effective at keeping sprawl under control.
How can organizations reduce SaaS sprawl using management platforms?
SaaS management platforms reduce sprawl by giving IT centralized visibility into every app in use across the organization, including tools employees adopt outside of formal procurement. These platforms surface duplicate instances, redundant tools, unused licenses, and unauthorized OAuth connections. They also enable automated provisioning and deprovisioning, which eliminates orphaned accounts from departed employees, a leading cause of unnecessary SaaS exposure. The result is a smaller, more governed, more cost-efficient stack.
What is SaaS sprawl and why does it matter?
SaaS sprawl is the uncontrolled proliferation of software-as-a-service applications across an organization, including tools purchased outside of IT, redundant applications serving the same use case, orphaned accounts from former employees, and unsanctioned AI tools adopted without IT approval. It matters because sprawl creates security vulnerabilities, drives unnecessary spend, complicates compliance, and introduces ungoverned data access, risks that compound quietly until they become a serious problem.
What is shadow AI, and how does it contribute to SaaS sprawl?
Shadow AI refers to AI-powered tools that employees connect to core business systems, such as email, documents, or HR platforms, without IT’s knowledge or approval. It is now the fastest-growing contributor to SaaS sprawl because AI tools are easy to adopt independently, often require broad data permissions, and are rarely covered by traditional governance frameworks. Unlike older forms of shadow IT, unauthorized AI tool access creates exposure that goes well beyond wasted spend.
How often should organizations audit their SaaS environments?
Organizations should conduct SaaS audits quarterly, not annually. SaaS environments change continuously as employees adopt new tools, integrations shift, and licenses go unused. An annual audit is too infrequent to catch drift before it becomes a risk. Complementing quarterly audits with real-time monitoring for new OAuth connections and monthly license utilization reviews provides the most complete picture.
What is the difference between duplicate SaaS apps and redundant SaaS apps?
Duplicate SaaS apps are multiple accounts of the same tool used by different teams, such as several separate instances of Slack or Google Workspace across departments. Redundant SaaS apps are different tools that solve the same use case, such as Asana and Monday.com running side by side. Both create problems: duplicates prevent organizations from capturing volume pricing and preferred feature tiers, while redundant tools reduce efficiency and make standardization difficult.
What should IT teams prioritize when rationalizing their SaaS stack?
When rationalizing a SaaS stack, IT teams should evaluate each tool across four dimensions: business need and user adoption, security posture and compliance certifications, total cost of ownership including contract terms and renewal dates, and integration complexity with existing systems. The goal is not to select the cheapest or most feature-rich tool, but the one that best balances all four factors. Involving security, compliance, and finance stakeholders in the decision process leads to more durable outcomes than IT making the call alone.
