Shadow IT to shadow AI: controlling risk without killing innovation
How CIOs can contain shadow IT and shadow AI without killing innovation by pairing governance with digital adoption.
How CIO and IT leaders can cut support tickets and onboarding pain caused by SaaS sprawl by pairing governance with in-app guidance.
Level 1 support tickets rarely spike all at once. They grow gradually, one small question at a time: how to find a report in the CRM, which HR portal to use, why a Copilot feature behaves differently than expected, or which purchasing screen is the correct one after a system update. In many organisations, SaaS sprawl is the steady growth of overlapping tools and disconnected workflows. Turns these small questions into a constant stream of support requests.
For CIOs and IT leaders, this constant flow of small questions is not harmless. It consumes valuable support capacity, slows response times, and makes each new rollout harder than it needs to be. When organisations discuss SaaS sprawl, the conversation usually centres on cost and security. But its day-to-day impact on IT support and onboarding is often overlooked.
This article explores SaaS sprawl from an operational perspective. It is intended for CIOs, IT Directors, Heads of IT Operations, and Application Owners who want to reduce repetitive support questions across tools such as Salesforce, Workday, Microsoft 365, Copilot, ERP and HR systems, and other specialised applications. We look at why SaaS sprawl increases support demand, how in-app guidance helps users complete tasks correctly, and how organisations can simplify their software landscape without slowing innovation.
On paper, your application landscape may look controlled: one main CRM, one HR system, one collaboration suite, perhaps one ERP. In reality, each of these core platforms is surrounded by many additional tools — plug-ins, specialised SaaS products, AI assistants, team-specific apps, and older systems that are still in use.
As explained in our article How SaaS sprawl quietly overloads IT support (and how to fix it), this growing mix of tools creates complexity that is often felt first by IT support teams. Employees must navigate multiple interfaces, different logins, and overlapping features, making everyday tasks harder than they should be.
Common signs of SaaS sprawl include:
• Duplicate processes: Employees may find several ways to complete the same task, such as requesting software, submitting a purchase, or booking time off. Instead of following one clear process, teams rely on local habits or informal guidance.
• Inconsistent user experiences: Employees switch between tools that use different terminology and logic. For example, sales teams may work between Salesforce and a separate quoting tool that define opportunities differently, while HR teams move between an HR system and additional performance management tools with conflicting structures.
• Unclear ownership: Responsibility for documentation, onboarding guidance, or best practices is not always clearly defined. As a result, questions are passed between IT, HR, and business teams.
• Shadow IT and shadow AI tools: When existing tools feel difficult to use, teams may introduce their own solutions, including AI assistants or specialised SaaS apps. Even when these tools are unofficial, IT teams are still expected to provide support when issues arise.
All of this increases the mental effort required to complete everyday tasks. When processes are complex, rarely used, or spread across multiple tools, such as expense approvals, HR updates, or multi-step sales workflows, employees often turn to the service desk for help. Over time, SaaS sprawl increases reliance on support teams simply because it becomes harder for users to know where to go and what to do.
SaaS benchmark data reinforces this link. Torii’s research, highlights that employees in large organisations now touch dozens of applications just to do basic work. When ownership and guidance lag behind, IT becomes the de facto helpdesk for everyone’s micro‑stack.
Onboarding magnifies the problem. New starters are often hit with multiple logins, an overstuffed “day one” training deck, and no meaningful in‑app help. They learn by trial, error, and tickets. By the time you have a full cohort of new joiners every month, IT support has become the substitute for a digital adoption strategy.
Ticket deflection is usually framed as a knowledge‑base problem: if only the documentation were better, users would stop asking basic questions. In a SaaS‑heavy environment, that is wishful thinking. Nobody wants to read a wiki page to figure out how to raise a simple purchase request or book leave. They want the system to show them, in context, on the screen they are looking at.
This is where a Digital Adoption Platform (DAP) changes the equation. Rather than treating training as something that happens before go‑live, a DAP like Lemon Learning adds a thin layer of in‑app support across your strategic tools: Salesforce, Workday, Microsoft 365 and Copilot, ERP, HRIS, internal portals, and even legacy desktop apps. That support can take several forms:
• Interactive walkthroughs that guide users through a live workflow step by step.
• Smart tooltips and field help that explain what a field means, why it matters, and common mistakes.
• Contextual announcements that replace blast emails with messages visible only to the right users on the right screens.
• An in‑app help centre or AI assistant that answers “how do I…?” without users leaving the application.
For IT operations, the strategic move is to connect this adoption layer directly to your ticket patterns. Instead of guessing which guides to build, you start by mining your ITSM data:
1. Identify your “top 20” SaaS related ticket types
Look for patterns like “How do I book leave?”, “Where do I update my bank details?”, “How do I convert a lead in Salesforce?”, “Why won’t this invoice post?”, or “How do I get Copilot in Teams?”. These are the questions your service desk sees every week.
2. Map each ticket type to a real workflow
Work through the actual click path in the relevant system. Where do people get stuck? Is the logic unclear, the labels confusing, the steps too long, or the error messages cryptic?
3. Turn those workflows into in‑app guidance
Use your DAP to build short, opinionated guides and tooltips that answer the question on the screen. Keep them focused: 60–90 seconds of interaction, one clear outcome, minimal branching.
4. Instrument everything
Tag each guide by application, workflow, and ticket category. Lemon Learning’s insights let you see how often guides are used, who uses them, and where they drop off.
Once in-app guidance is live, both users and support teams see immediate benefits. Employees receive clear, contextual help directly inside tools such as Workday, Salesforce, or Microsoft Copilot, helping them complete tasks correctly the first time.
Support teams can link directly to this guidance instead of repeatedly explaining the same steps. Over time, simple requests decrease, leaving fewer but more meaningful support tickets. This helps organisations reduce the everyday friction created by SaaS sprawl while improving consistency across key workflows.
To manage SaaS sprawl effectively, organisations need a simple and repeatable approach. The objective is not to eliminate every extra tool, but to gradually reduce unnecessary complexity without slowing down teams or blocking useful innovation. A practical approach includes:
Step 1: Establish a joint view across IT operations, apps, and support.
Bring together representatives from IT operations, the service desk, and key application owners (Salesforce, Workday/HRIS, Microsoft 365/Copilot, ERP). Agree on a single report that combines: SaaS ticket volumes by application and category; average handling time; and, where available, in‑app guide usage.
Step 2: Pick a small number of “fix first” journeys.
Prioritise workflows that generate lots of tickets, involve multiple tools, or are critical to business outcomes: for example, onboarding a new hire across HRIS, Microsoft 365, and identity; raising a purchase request and getting it approved; creating and progressing a Salesforce opportunity; using Copilot safely in Outlook and Teams.
Step 3: Design both the workflow and the guidance.
Sometimes tickets reveal a training gap; sometimes they expose a bad process. Use what you see to simplify screens, remove unnecessary steps, or standardise tools before you write more help. Only then add in‑app guidance that reflects the streamlined reality. Articles like this introduction to digital adoption are useful for aligning everyone on principles before you dive into content.
Step 4: Launch quietly, measure loudly.
Deploy guides to a subset of users or business units first. After a few weeks, compare ticket volumes, handling times, and error rates between guided and non‑guided groups. If you have a SaaS management platform in place, also check whether overlapping tools for that journey are still being used, as described in resources like this SaaS governance article from SRA.
Step 5: Iterate and expand.
Treat each wave as an experiment. Where guides work and tickets fall, scale the pattern to other regions or teams. Where they fail, look again at the process or configuration rather than simply adding more instructions.
Over time, you can present a clear story: “Across our top five workflows, we converted 40% of repetitive Level 1 tickets into in‑app guidance, cut handling time by 20–30%, and reduced the number of overlapping tools in those journeys by a third.” That is a compelling argument when you need support for continued investment in both a DAP and SaaS rationalisation.
In short, SaaS sprawl and rising support tickets are closely linked. It is difficult to reduce one without addressing the other. When employees have to navigate too many tools and unclear processes, questions and errors naturally increase. Combining SaaS governance with a digital adoption layer helps solve this problem in a practical way. Instead of relying only on training or documentation, organisations can guide users directly inside the tools they use every day. This makes it easier for employees to follow the right process at the right moment.
For CIOs and IT leaders balancing daily operations with long-term transformation, this approach helps reduce unnecessary support demand without limiting what teams can achieve. It allows organisations to manage SaaS sprawl while keeping productivity and innovation moving forward.
SaaS sprawl creates overlapping tools, inconsistent processes, and fragmented user experiences. People get confused about which tool or path to use and log tickets for help. Each extra application adds configuration quirks and edge cases that surface as “how do I…?” requests.
Traditional knowledge bases help, but they require users to leave their workflow, search, and interpret instructions. In practice, many people prefer to ask the service desk. In‑app guidance meets them where they are, on the screen, and is far more effective for routine workflows.
Begin by cleaning and standardising categories for the top applications: Salesforce, Workday/HRIS, Microsoft 365, ERP, and your service portal. Even a rough mapping of the most common question types is enough to identify candidate workflows for in‑app guidance.
It depends on scale and focus, but many organisations see meaningful reductions on targeted workflows within one or two quarters—especially where guides replace repeated “how do I?” tickets. The key is to prioritise, instrument, and iterate instead of trying to cover everything at once.
In the short term, it shifts effort from answering the same questions repeatedly to designing better workflows and guidance. Over time, you can handle growth without linear increases in headcount and free experienced staff to focus on true incidents and higher‑value work instead of basic navigation problems.
How CIOs can contain shadow IT and shadow AI without killing innovation by pairing governance with digital adoption.
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