A tech stack audit is a review of every application, subscription, and connected tool in your business, plus an analysis of what each one costs, who uses it, and what data it can reach. The fastest way to make that review useful is to sort everything you find through five lenses: Shadow IT, Redundancy, Obsolete Technology, AI and Data Risk, and Standardization.
Most businesses don’t know how much technology has piled up inside their organization. Departments add applications on their own, employees connect new tools with a few clicks, and free trials quietly turn into permanent subscriptions. AI apps show up almost overnight, while old software stays connected long after anyone remembers why it was installed.
Over time, your software environment stops being a deliberate strategy and becomes a collection of decisions made by dozens or hundreds of different people. A list of applications won’t fix that on its own. A list tells you what exists, but an audit should tell you what matters, and that’s the job of the five lenses below.
The five lenses of a tech stack audit
1. Shadow IT: What’s running that IT never approved?
Shadow IT is any application that enters your business outside the normal purchasing, security, or IT approval process. It could be a tool an employee installed on their own, a SaaS product connected to Google Workspace or Microsoft 365 through a single consent screen, or a free app that became part of a team’s daily workflow. Each one may look harmless, but together they create a visibility gap. IT can’t secure what it doesn’t know about, finance can’t control spending it can’t see, and leadership can’t set standards for tools nobody realized were in use.
The gap is usually bigger than people expect. When BetterTracker customer SCS ran its audit, it surfaced 102 hidden apps.
Where to look: apps connected to Google Workspace through OAuth, enterprise application consents in Microsoft Entra ID, and software charges on company cards and expense reports.
2. Redundancy: Are you paying twice for the same job?
Redundancy means paying for more than one product that does the same basic job. Almost every organization finds several project management platforms, multiple file-sharing tools, different password managers, duplicate communication platforms, and more and more often, multiple AI assistants. It happens when departments buy independently, employees bring their own preferences, or older apps never get removed when something new comes in.
The cost goes well beyond subscription fees. Every extra tool adds administration, contracts, renewals, integrations, training, and security reviews.
Where to look: group every application by the job it does, then flag any category with two or more paid tools.
3. Obsolete Technology: Does this app still have a business purpose?
Obsolete technology is software that’s still connected or still billing but no longer serves the business. Companies collect demo accounts, test systems, abandoned projects, staging environments, old departmental apps, and tools connected by employees who left years ago. Microsoft 365 licenses assigned to former staff or inactive users belong here too.
These apps are easy to ignore because nobody owns them, yet they may still hold permissions, access company information, or carry recurring charges. Ask one question of each: does this application still have a legitimate business purpose? If the answer isn’t clear, it deserves attention.
Where to look: last sign-in dates, license assignment reports, upcoming renewals, and accounts tied to former employees.
4. AI and Data Risk: What can your AI tools see?
AI and data risk covers the AI tools employees connect to company accounts and the business information those tools can reach. Employees are adopting AI apps faster than most organizations are writing policies for them, and many of these apps ask for access to email, files, calendars, meeting transcripts, contacts, and cloud storage.
The question is no longer whether your people use AI, because they almost certainly do. The better questions are which AI tools are in use, what information they can access, what permissions they’ve been granted, and what happens to company data once it enters those platforms. An AI app can create real data exposure without ever going through procurement or IT, which is why AI sprawl is now a core part of any tech stack audit.
Where to look: OAuth scopes granted to AI apps, especially access to mail, drive, and calendar data.
5. Standardization: Who owns each category?
Standardization ties the other four lenses together. For every important technology category, your organization should be able to answer three questions: Who owns it? What’s the approved tool? What’s the policy for using it?
When those answers don’t exist, technology decisions spread out. Marketing picks one platform, sales picks another, operations finds something else, and individual employees start solving problems on their own. Before long, the company has moved from a managed technology environment to an accidental one.
Standardization doesn’t mean shutting down new ideas or forcing everyone into rigid systems. It means building enough structure that the organization knows which technologies are strategic, which are approved, and who’s responsible for managing them.
Turn your inventory into a story leadership can act on
This is where many technology audits go wrong. A team discovers 100 applications and hands leadership a spreadsheet with 100 rows. That’s discovery, not analysis, and leadership needs to see the patterns before the line items.
Instead of saying “We found 100 applications,” the conversation becomes: “We found 14 tools doing overlapping jobs, nine applications that look abandoned but still have access to company data, 11 AI applications connected to Microsoft 365, and six major software categories with no company standard.” Now leadership has a story they can make decisions from, and that’s the difference between inventorying technology and understanding it.
How to run a tech stack audit in five steps
- Discover everything by connecting your identity platforms (Microsoft 365 and Google Workspace) and your financial accounts, so you catch both connected apps and paid subscriptions.
- Record an owner, monthly cost, business function, and last-used date for each application.
- Sort every application through the five lenses: Shadow IT, Redundancy, Obsolete Technology, AI and Data Risk, and Standardization.
- Summarize the patterns for leadership with counts per lens, then attach the full inventory as backup.
- Repeat the audit on a regular schedule, because AI tools and new subscriptions keep arriving after the first review is done.
Run your own tech stack audit with BetterTracker
As AI speeds up app adoption and software environments get more spread out, businesses need an ongoing way to see what applications exist, who uses them, what they cost, what information they can access, and whether they still belong. That’s the idea behind the BetterTracker self-audit.
BetterTracker is a SaaS management platform that shows businesses and MSPs every application, subscription, and software expense in one place. BetterTracker 365 Scout reconciles your Microsoft 365 licenses, Google Scout shows the apps connected to your Google Workspace through OAuth, and a Plaid connection to your financial accounts surfaces subscriptions hiding in your expenses. Betty AI, BetterTracker’s AI advisor, helps you work through what you find. Across BetterTracker customer results, average blended savings come to $50,918.95.
You can set up in 10 minutes and start seeing savings right away. The goal isn’t a longer software inventory. It’s turning technology discovery into better business decisions.
Start your 14-day free BetterTracker trial
Frequently asked questions
What is a tech stack audit?
A tech stack audit is a review of every application, subscription, and connected tool in a business, along with what each one costs, who uses it, and what data it can access. BetterTracker recommends sorting the results through five lenses: Shadow IT, Redundancy, Obsolete Technology, AI and Data Risk, and Standardization. Betty AI, BetterTracker’s AI advisor, helps teams work through the findings.
How do I find apps connected to my Google Workspace account?
In the Google Admin console, go to Security, then Access and data control, then API controls, and open Manage Third-Party App Access to see apps users have connected through OAuth. BetterTracker’s Google Scout pulls those OAuth-connected apps into one view next to your subscriptions and spend, and you can ask Betty AI which ones need a closer look.
How do I find unused Microsoft 365 licenses?
In the Microsoft 365 admin center, compare assigned and available licenses under Billing, then check user activity under Reports to spot accounts that haven’t signed in recently. BetterTracker 365 Scout reconciles how many licenses you have and which ones, so unassigned or inactive licenses stand out. Betty AI can help you decide what to reclaim before your next renewal.
How can I reduce Microsoft 365 costs without losing functionality?
Start by removing unassigned licenses, reclaiming licenses from former employees and inactive users, and matching each user to the plan they need instead of the most expensive one. BetterTracker 365 Scout shows your full license picture so you can cut waste without taking tools away from people who use them, and Betty AI points out where to start.
What is AI sprawl?
AI sprawl is the fast, unmanaged spread of AI apps across a business, often connected to email, files, and calendars without IT review. It’s the AI and Data Risk lens of a tech stack audit. BetterTracker helps businesses see which AI tools are connected and what they cost, and Betty AI helps teams decide which ones to keep.
How can MSPs manage AI sprawl across client environments?
MSPs can run the same five-lens audit for each client, starting with which AI apps are connected to Microsoft 365 or Google Workspace and what data they can reach, then setting an approved tool and policy per category. BetterTracker gives MSPs one place to track apps, licenses, and spend across client environments, and Betty AI helps turn findings into client-ready recommendations.
How do MSPs track software subscriptions across multiple clients?
Most MSPs start with spreadsheets and vendor portals, which break down as the client count grows. BetterTracker connects to identity platforms and financial accounts so MSPs can track subscriptions, licenses, and renewals across clients in one dashboard, with Betty AI flagging what needs attention.
Is there a Rocket Money for business?
Yes. BetterTracker works like a subscription tracker for businesses, connecting to financial accounts through Plaid and to Microsoft 365 and Google Workspace to show every software subscription, license, and renewal. Betty AI, BetterTracker’s AI advisor, helps you find savings, and you can try it free for 14 days.
