The Margin Leak Business Services Firms Can’t Bill Away
Business services firms are built on people’s time, judgment, and credibility. When a consultant loses half an hour before a client workshop, a legal team is stuck waiting for a document system, or a service delivery group has to move conversations elsewhere because collaboration tools are unreliable, it may not register as a major IT event. It still changes the economics of the work, because skilled time is being spent compensating for the environment instead of serving the client.
That trade-off is becoming harder to ignore as the commercial model becomes less forgiving. Firms are being asked to take on more responsibility for outcomes, while clients expect clearer proof that the work delivered value. In its 2025 services analysis, Forrester reported that 45% of services decision-makers planned to expand performance-based pricing and 46% planned to increase fixed-price contracts. As more work is tied to outcomes rather than hours, internal friction becomes harder to hide. A slow application, a failing device, or a support delay no longer sits comfortably in the background. Each issue eats into delivery time, margin, and client confidence.
Where lost time hides before it becomes a ticket
When something gets in the way of client work, people usually find the fastest route back to the task. They do not stop to document every delay, explain every workaround, or open a ticket for friction they expect will pass. From their perspective, they are being practical. From IT’s side, the signal is incomplete.
The wider pattern is easy to miss because each person experiences the issue as a one-off inconvenience and moves on. Over time, the environment can look stable even as teams adjust how they work to compensate for it. For business services firms, that matters because the time being lost belongs to the people clients are paying for.
Digital experience gives IT a clearer view of how work is being affected in practice. It shows where the same issues keep returning, where tools are slowing people down, and where friction is becoming part of the operating rhythm instead of something anyone has time to report. That visibility gives IT a better chance to remove the cause, not just respond to the complaints that make it through.
AI value shows up in client work, not in licenses
AI is changing the services conversation, but the hard part is no longer access. It is whether AI is making the work faster, more consistent, and easier to defend in front of clients. A firm can buy tools, assign licenses, and announce an AI strategy, yet still struggle to prove that delivery has improved.
Legal services illustrate the scale of those expectations. Thomson Reuters’ Future of Professionals Report 2025 reported that surveyed legal professionals expect AI to free up nearly 240 hours per year, up from 200 in 2024, creating an estimated $19,000 in annual value per professional. Its broader future-of-professionals research also points to a potential $32B combined annual impact for the U.S. legal and tax and accounting sectors.
Those numbers are compelling, but they come with a catch. If document workflows are slow, collaboration is inconsistent, or approved AI tools are hard to use in the flow of work, the expected value gets trapped in isolated pockets. The question becomes less “who has access?” and more “where is AI usage actually improving the work, and where is the environment getting in the way?”
Client delivery depends on systems behaving consistently under pressure
Business services firms rely on a complex but critical mix of collaboration platforms, virtual desktops, document and matter systems, service delivery tools, CRM workflows, and internal applications. These tools need to hold up for people working from client sites, home offices, delivery centers, late-night deal rooms, and secure environments where waiting is not really an option.
That level of dependency makes application performance more consequential than it might appear in a dashboard. A delay in a critical workflow can ripple into a client meeting, a contract review, a delivery handoff, or a service commitment before anyone has enough context to understand what went wrong. The question for IT is not only whether an application is technically available, but whether it is performing well enough for the work people are trying to complete.
Application Insights can help close that gap by enabling IT to understand how critical applications behave in real conditions across teams, locations, and user groups, so performance problems can be investigated in context rather than treated as isolated complaints.
In one Application Experience engagement, a global consulting services company traced a long-running Salesforce performance problem to a customized plug-in and the surrounding environment, resulting in immediate savings of more than 150 hours per month across 230+ business associates. An issue that appears manageable in isolation can become costly when multiplied across hundreds of high-value employees.
Recurrence only goes down when remediation scales
In a services business, repeated IT problems carry a double cost. They interrupt the person doing client work, then pull IT back into the same cleanup. Resolving an individual request is useful, but it does little to protect delivery if the same condition returns the following week across another team.
The better question is whether the fix can scale once the pattern is understood. Automation & Orchestration supports that shift by helping IT detect known conditions, trigger targeted remediation, verify that the fix worked, and escalate only when human support is needed. For firms with distributed teams and tight delivery windows, verification matters because it helps prevent automation from becoming another black box.
For firms that act now, reducing predictable friction can become an operating discipline. Not because every issue can be prevented, but because recurring problems can be identified earlier, resolved at scale, and kept from becoming part of how people work. That protects support capacity and gives more time back to the knowledge workers delivering client work.
Device lifecycle becomes a margin lever under fixed-price pressure
Reducing recurring disruption is only part of the margin equation. As fixed-price and performance-based engagements expand, device decisions become more important than they appear. Refreshing on a calendar can waste money on devices that still perform well, while slow machines stay in the hands of people whose time is far more valuable than the hardware.
A better refresh conversation starts with employee experience. Is the device helping someone work effectively, or is it making a high-value employee compensate for poor performance? Which devices can be extended safely, and which are quietly creating lost time? Those questions matter in consulting, legal, and service delivery environments because the wrong device decision is not just an endpoint issue. It can become a productivity and margin issue.
For CIOs and digital workplace leaders, this is where device data needs to connect back to employee impact. The value is not only lower hardware spend; it is knowing where costs can be controlled without making the employee experience worse.
Adoption fails when support lives outside the workflow
AI tools, self-service portals, new collaboration patterns, and business application changes all depend on employees changing how they work. That is hard to do through email reminders and static training. By the time someone needs help, the message they received three weeks ago has been forgotten, and the client task in front of them is more urgent than the new process.
In-App Guidance helps close that gap by putting support inside the tools people already use. The aim is not more training. It is guidance at the moment the work is happening, so new behaviors are easier to reinforce and adoption is easier to measure.
When someone is already blocked, Spark also fits the reality of client-facing work. As an autonomous IT agent, it gives employees a way to get help without waiting in a support queue, helping preserve focus when a small interruption lands at exactly the wrong time.
Experience is becoming part of how services performance is judged
Provider performance is no longer judged only through delivery completion or commercial terms. Forrester notes that services decision-makers assess provider engagement through quality, financial performance, and end-user experience, with 47% tracking end-user experience in its 2025 services analysis.
For IT and digital workplace leaders, that changes the conversation. Digital experience becomes evidence of whether the firm can deliver consistently, not just an internal measure of employee satisfaction. Workspace helps teams investigate experience data, understand where friction is concentrated, and decide where to act first, This helps the organization connect digital workplace performance to delivery quality, employee time, and client confidence.
Protecting margin starts with protecting employee time
The firms that protect their margins as delivery models evolve will be the ones that understand where client work is slowing down and which problems keep returning. Digital experience gives IT that view, helping teams can move beyond ticket volume and focus on the friction that is consuming valuable time. Without that visibility, everyday disruption becomes part of the cost of doing business. With a cleaer view, firms can return more time to the people whose expertise clients are paying for.
