Skip to content

The 2026 guide: Best practices for SaaS management

BetterCloud

February 5, 2026

13 minute read

Illustration of a computer screen surrounded by gears depicting automation.

The TL;DR: Best practices for SaaS management for 2026

Before we dive into the details, here is the summary of the best practices for SaaS management required to thrive in today’s complex environment:

  • The shift to automation: In 2026, manual oversight is a liability. Automated SaaS management is now the standard for IT teams looking to move beyond “toil” and toward strategic orchestration.
  • Continuous app discovery: To maintain enterprise SaaS management at scale, visibility must be 24/7. This requires a multi-layered approach to uncover sanctioned apps, hidden contracts, and the growing footprint of Shadow AI.
  • Lifecycle orchestration: The most impactful SaaS operations best practices center on the user lifecycle. By implementing SaaS operations automation, teams can achieve zero-touch onboarding and instant, secure offboarding.
  • Proactive security: SaaS risk management has evolved. It is no longer just about who has an account, but about governing the complex web of API permissions and OAuth tokens that connect your stack.
  • Precision budgeting: Automated SaaS spend management transforms your bottom line. By using SaaS management automation to reclaim underutilized licenses in real-time, you ensure your software budget is always optimized.
  • The Command Center: all-in-one SaaS management platform BetterCloud serves as the essential orchestration layer, providing the SaaS management automation tools necessary to turn these high-level strategies into a repeatable, scalable reality.

If you’re like most IT teams, you’ve likely noticed that as your SaaS adoption grew, so did management complexity. You probably now manage hundreds of apps (106 on average according to 2025 BetterCloud research) and users with millions of files, and it’s become an ever-changing web of access, integrations, licenses, and contracts. Over time, that SaaS sprawl sprawled more, while it morphed into increased risk, wasted spend, and IT operational inefficiencies. That’s why following best practices for SaaS management has become so important. 

They help IT regain control, and move beyond those spreadsheets, periodic audits, and manual tasks that don’t cut it anymore. In 2026, as we go deeper into the AI age, effective SaaS management is continuous, automated, and shared across IT, security, and finance.

Below are the SaaS management best practices that organizations are now using to get there. 

With a heightened focus on SaaS operations, automation, enterprise scale, risk management, governance, and spend optimization, this article covers:

  • Foundational, organization-wide best practices for SaaS management to put your SaaS management on a solid path
  • Best practices around SaaS operations for IT
  • The role of BetterCloud in your pursuit of SaaS management best practices

Start with some fundamental SaaS management best practices

Strong SaaS management starts with the basics to build a strong foundation. Visibility, ownership, and consistency. Without these, ongoing automation and optimization are impossible.

These best practices create the visibility and control organizations need to manage SaaS confidently — without slowing the business down.

1. Centralize SaaS management ownership

SaaS sprawl rarely starts as the main problem. Rather, it begins as a team solving an urgent problem. Over time, those decisions compound. Ownership decentralizes. Employees leave. Standards drift. Apps get forgotten. Risk goes up, one app at a time.

A centralized SaaS management strategy helps organizations:

  • Define who owns SaaS governance
  • Align IT, security, finance, and procurement on new purchases and renewals
  • Set clear expectations for access, risk, and spend

This isn’t about preventing employees from buying the tools they need. It’s about making sure speed doesn’t come at the expense of IT control.

2. Create and maintain a complete SaaS inventory

Every SaaS problem gets harder when visibility is incomplete, which is why visibility is a foundational SaaS management best practice. If you don’t know which apps exist, who’s using them, or how access is granted, everything else becomes guesswork.

A reliable SaaS inventory for enterprise SaaS management should include:

  • All known and unknown SaaS applications (read: continuous discovery)
  • Users, roles, and app owners for each app
  • Authentication methods, including SSO, MFA, and OAuth
  • License counts, usage, and total and per user costs

Visibility must be continuous

In 2026, discovery to maintain a complete SaaS inventory 24×7 must be an ongoing process, requiring a multi-layered approach to visibility:

  • SSO and identity logs: tracking which users are logging into sanctioned apps.
  • Financial integrations: scanning ERP systems and corporate credit card statements to catch apps purchased outside of IT’s view.
  • Browser-layer discovery: using a sanctioned browser with an extension allows IT to see web-based apps that don’t use SSO, including Shadow AI.

For enterprise SaaS management, this level of visibility isn’t optional. As SaaS environments expand by users, apps, files, and contracts, accurate and real-time manual tracking becomes impossible, gaps emerge, and unseen risks lurk.

Don’t overlook Shadow AI

One of the biggest challenges of 2026 is Shadow AI. that involves unauthorized agents and AI-powered productivity tools that users connect to their corporate accounts.  

A January 2026 Andreessen Horowitz article paints a highly dynamic picture of the enterprise AI market. Based on their third annual CIO survey of 100 Global 2000 companies, they conclude that “the market is too dynamic to crown a single, durable winner.” In other words, user adoption of AI apps changes fast, and users quickly move on from sanctioned chatbots to the next shiny one. For IT, this means you need to always stay on top of Shadow AI.

Without a continuous discovery engine that automatically maintains an up-to-date SaaS inventory, Shadow AI’s drip of small leaks can lead to data loss or even a massive data exfiltration event.

3. Manage the full SaaS lifecycle

The real SaaS management work mushrooms after a signed contract. Zero trust requires access tracking. Employees leave, and licenses—at best—sit idle; at worst, they increase the risk of exposure.

Thus, SaaS operations across its entire SaaS lifecycle are a best practice of SaaS management:

  • Request and approval
  • Onboarding and access provisioning
  • Ongoing license usage and optimization
  • Immediate, complete departing user offboarding 
  • License reclamation and redeployment

Managing SaaS as a lifecycle ensures access levels are never excessive, licenses are fully utilized, and applications deliver ongoing value.

Move onto key best practices for SaaS operations

With the fundamentals firmly in place, organizations can focus on execution. SaaS operations best practices are about consistency, speed, scale, and ultimately, removing the IT toil. 

4. Standardize SaaS user lifecycle management

Unpredictable onboarding reduces user productivity and inconsistent offboarding increases risk. When IT relies on ad hoc onboarding and offboarding processes, mistakes are inevitable.

Standardized SaaS operations generally require IT teams to define clear:

  • Role-based access policies
  • Consistent onboarding workflows
  • Standard offboarding and access removal processes or checklists

Even though it may still be manual, this standard user lifecycle management processes cuts risks due to inconsistent processes and workflows. Add automation to the mix and watch productivity soar and human error and orphaned accounts and files drop.

5. Reduce operational friction with automated SaaS management

As useful as a checklist might be for standardizing SaaS operations, manual task management doesn’t scale. When IT teams are buried in solving problems one native console at a time, tickets pile up. Access changes take longer than they should. Strategic projects go untouched as teams spend more time managing tools than enabling the business.

What is automated SaaS management?

Automated SaaS management uses policies and workflows to manage SaaS environments continuously, moving teams from reactive to proactive control. This includes:

  • Automated user provisioning and deprovisioning
  • License assignment and reclamation
  • File security and consistent app configuration enforcement
  • Orchestration across identity, IT, and security tools

Automated SaaS operations benefits

That’s why automation is the centerpiece of modern SaaS operations best practices in 2026. To the greatest extent possible, automated processes lead to:

  • Less manual work
  • Faster response times
  • More consistent policy enforcement

Automation also centralizes oversight to IT and allows them to cut the tedious and boring work to finally focus on higher-value work while maintaining control. 

But that’s not all. Consistent workflows make sure all work processes are performed the same way every time. There is never a missed step and automated SaaS management results in lower cost and less risk.

For all these reasons, automated SaaS management is as crucial to an organization as an accounting tool. It’s not a differentiator, but rather how organizations manage constant change.

Begin to automate SaaS operations by focusing on what’s most critical 

It’s best practice for SaaS management to begin your automation journey with what’s most important to the organization. 

For many, the biggest bang for the buck is automating processes in this order:

  1. Offboarding departing users: Using SaaS operations automation, the moment a termination is triggered, the system instantly revokes access across all platforms and transfers file ownership to a manager
  2. Onboarding new users: when a new hire is added to HR, automated SaaS operations should instantly trigger. Based on their role, the system provisions their tech stack in under 60 seconds.
  3. Mid-cycle changes: when a user experiences a role change, from say sales to marketing, automation instantly triggers sales apps, Slack group, and Google calendar deprovisioning and then provisions marketing apps, groups, and calendars
  4. Application access changes: when audit findings or new compliance standards (e.g., GDPR, HIPAA), require periodic access reviews and permission adjustments, automation makes changing bulk user access easy
  5. License optimization: if an expensive app like Salesforce goes unused for 30 days, automating revoke the license, so it’s ready for redeployment
  6. Audit preparation and reporting: when you need to prove that you offboarded departing users in within 2 hours of termination in accordance with security policy, never-expiring audit logs automatically prove you followed policy

Once you’ve mastered the common repetitive processes, you can move onto less common, but still impactful use cases.

Work on more common automated SaaS operations use cases 

The help desk is ripe with opportunities for automation. Some help desk ticket resolutions that deliver IT operational efficiencies include:

  1. Provisioning applications automatically based on role: when rolling out a new SaaS app, automation can provision all users based on group or department
  2. Identifying over-permissioned accounts: detect dormant or unused access, identify accounts with persistent elevated privileges (e.g., admins with no active need), and flag misaligned roles across systems
  3. Granting temporary access to licenses: when a user temporarily needs a higher level of app permissions for 14 days, automation can reduce privileges after 14 days
  4. Automated user self-service: Automate with Slack to reduce IT work burden
  5. Enforcing MFA and security standards: identify users and services that skip MFA requirements, especially for admin accounts or apps storing sensitive data

With automating using a SaaS management platform, Google can be the sign-on identity for employees. This allows easy logins for users and worry-free nights for IT. There’s no more worry about authenticator apps being deleted when staff are issued new phones. Instead, simply set up a workflow and it’s just done. Not sort of done – done-done. 

What do all these automated SaaS management use cases offer? These SaaS operations automations save IT time and tedium, improve employee experience while drastically reducing security risk.

6. Prioritize and automate SaaS risk management

Most SaaS risk isn’t dramatic. It’s subtle and accumulates through small decisions that are rarely revisited. Creeping up as the months pass, SaaS risk usually stems from

  • Users with more access than they need
  • Inactive accounts that still exist
  • Old and orphaned public file links
  • OAuth integrations that are inappropriate, compromised or forgotten
  • Shadow IT applications

These risks are easy to miss and hard to track manually, potentially leading to data loss and breaches. 

So effective SaaS risk management relies on SaaS security best practices like least privilege access enforcement, public file sharing alerts, continuous configurations monitoring, and rapid, policy-driven remediation. This is only possible with automation. 

Automated SaaS risk management is a best practice that catches issues early, before they become incidents. Security in 2026 is about governance. As applications become more interconnected, the risk shifts to the web of API connections between SaaS tools.

Managing API risk

Let’s take an example: when an employee connects a third-party app to their calendar, they grant an OAuth token. For adequate SaaS risk management, automation monitors these tokens in real-time. If this app inappropriately requests read/write access to your CRM, automated SaaS management should automatically block the connection.

Proactive file security and compliance

Best practices for SaaS management now include continuous scanning for inappropriate file sharing. In addition to looking for publicly shared file links and remediating them, automated SaaS operations in some SaaS management platforms can now detect behavioral anomalies. 

For example, if an account starts downloading an unusual volume of records or forwards many emails to personal addresses and automatically locks the account pending verification.

7. Control costs with automated SaaS spend management

SaaS waste is rarely intentional. It’s usually the result of poor visibility and delayed action. Spreadsheet-based spend tracking fails because it’s all too easy to miss:

  • Unused licenses
  • Redundant tools
  • Usage-based pricing changes

By the time budget problems emerge, money has already been spent. Instead, it’s now a best practice of SaaS management to take advantage of automated SaaS spend management

So what does automated SaaS spend management do? 

Essentially, it changes the discussion from whether there’s a license to how much value an app delivers to users. As such, automated SaaS spend management helps organizations:

  • Track usage in real time
  • Reclaim licenses automatically
  • Identify overlapping tools
  • Inform renewal decisions with data

Imagine a scenario where 100 users have “Pro” licenses, but 40 haven’t logged in for more than 90 days. 

An automated workflow can:

  1. Identify: flag inactive users.
  2. Verify: send an automated pulse survey asking if they still need the tool, or how much they like it
  3. Reclaim: automatically de-provision the seat or downgrade the tier.

By centralizing all contracts for your enterprise within a SaaS management platform, IT gains a renewal calendar. Complete with 90-day alerts, you’ll have long lead times for data-driven negotiations, time to shop competitors and migrate for a better deal, and never miss another key cancellation deadline again.

In addition, as IT teams like yours mature in their SaaS management best practices you can also track crucial usage metrics like Cost per active user and Adoption by role or department. These metrics help teams decide what to keep, optimize, or retire. 

All in all, these SaaS management best practices firmly align SaaS spend with actual app usage, and consequently, ensure they deliver value.

8. SaaS operations best practice for governance

In 2026, governance is the bridge between technical automation that comes from IT and the business strategy that aligns the whole organization. That way, policies and people work together with tools to make sure that every dollar spent on software translates into measurable productivity.

This is why our final best practice for SaaS management is building an effective governance program, which begins with the SaaS buying process.

Develop SaaS procurement policies

In 2026, SaaS operations best practices dictate that SaaS procurement must be integrated into the automated workflow.

  • The centralized intake system: IT and procurement implement a single, mandatory portal for all software requests. This ensures every purchase is tracked from inception.
  • The pre-approved SaaS app catalog: This catalog contains vetted applications that are fully integrated into your SaaS operations automation workflows. Purchasing from this catalog is instant.
  • Security-first tool approvals: For any tool outside the catalog, the procurement policy mandates a complete security review. The tool must pass SaaS risk management checks before a corporate card can be charged.
  • Vendor tiering: Governance policies should categorize vendors into tiers to determine the depth of oversight and frequency of automated audits required.

Create enterprise-wide approved set of SaaS apps

One of the most effective SaaS management best practices is the elimination of functional redundancy. Once your team does eliminate them, they need to prevent them from creeping back. That’s where an enterprise catalog of approved apps comes in. 

This SaaS management best practice helps organizations reduce friction that comes with having to learn, support, and automate with too many similar tools, as well as deliver massive negotiation leverage.

Aim for centralized management, distributed ownership

SaaS governance in 2026 requires more than IT. Best practices for SaaS management involve embedding SaaS owners within business units and avoids creating IT bottlenecks. These owners are responsible for the SaaS budget and sometimes, security compliance of their specific tools. IT provides the SaaS management automation tools and the guardrails, but the departments own the outcomes.

The essential 2026 SaaS management best practices checklist

Use this list to evaluate your current SaaS operations maturity and identify where orchestration can bridge the gaps. If you check fewer than 10 boxes, your team is likely ready for an automation and orchestration layer like BetterCloud, which automate up to 78% of repetitive tasks.

1. Foundational visibility

2. Lifecycle and operations

3. Risk & governance

4. Spend optimization

5. The orchestration layer

Turn best practices into automated reality with BetterCloud

The best practices for SaaS management we’ve outlined aren’t just a checklist for 2026. They represent a fundamental shift in how IT must operate to keep pace with the AI age. As SaaS environments grow in complexity, the human-scale approach of manual audits and spreadsheets quickly reaches its breaking point.

True maturity in SaaS operations requires more than just visibility; it also requires a centralized automation and orchestration layer with 160+ integrations that sits at the heart of your IT stack.

BetterCloud is designed to be that layer, turning these best practices for SaaS management into a continuous, automated reality. By integrating directly with your identity providers, ITSM, SSPM, and your entire SaaS ecosystem, BetterCloud reduces IT manual labor and provides:

  • Zero-touch operations: Automatically execute the lifecycles, access, and configurations that once took hours of manual work
  • Proactive governance: Monitor the web of API connections, file permissions, and Shadow AI to remediate risks before they escalate
  • Data-driven optimization and governance: Turn SaaS app usage insights into immediate savings by reclaiming licenses, consolidating redundant tools, and better managing vendors and SaaS governance

Ultimately, following best practices for SaaS management will move IT from a reactive ticket-taker to a strategic business enabler. With always-innovating BetterCloud as your automation and orchestration engine, you gain control of your multi-SaaS environment to manage constant change, while allowing your team to stop managing tools and start innovating.

Don’t let manual tasks hold your team back in 2026. Put these best practices for SaaS management into motion today with the world’s leading all-in-one SaaS management platform built for automation, BetterCloud. Talk to sales now.

EDITOR’S NOTE: This is an update from a 2024 article.

FAQs on SaaS management best practices

Q: What are the most critical best practices for SaaS management today? 

A: In 2026, the most critical practice is moving to automated SaaS management. This includes real-time discovery of Shadow IT/AI and automated lifecycle management for all employees.

Q: How does SaaS management automation improve security? 

A: By using SaaS management automation, you ensure that security policies are applied consistently. This includes zero-hour offboarding and the automated revoking of over-privileged API tokens.

Q: What is the difference between SaaS management and SaaS operations best practices? 

A: SaaS management best practices focus on the visibility, inventory, cost, and compliance of tools. SaaS operations best practices focus on the active workflows, such as how those tools are provisioned and integrated into daily work. 

Q: How can I implement automated SaaS spend management? 

A: Start by integrating your management platform with your financial systems and SSO. Use automated SaaS spend management to flag users who haven’t logged in for 30+ days and automate the license reclamation process.

Q: What are the risks of ignoring SaaS risk management? 

A: Ignoring SaaS risk management leads to SaaS sprawl where unauthorized apps gain access to your core data via API, increasing the risk of data breaches and compliance violations.

Q. How do automated SaaS operations handle Shadow AI? 

A: Automated SaaS operations scan your environment for new OAuth connections and browser extensions. If a user connects an unapproved AI tool to their corporate account, the system can block it immediately.

Q: Can SaaS operations automation replace a helpdesk? 

A: It doesn’t replace it, but it streamlines it. SaaS operations automation handles repetitive tasks like license requests and password resets, allowing helpdesk agents to focus on complex troubleshooting.

Q: How do I start with SaaS operations best practices? 

A: The best way to start is with visibility. Use a SaaS management platform for discovery to see what is actually in your stack, then use that tool to prioritize automated SaaS operations for offboarding to secure your most vulnerable entry points.