Beyond Payroll: Rethinking the Total Cost of Ownership in Outsourcing Decisions

Firm Management | September 4, 2026

Beyond Payroll: Rethinking the Total Cost of Ownership in Outsourcing Decisions

The right answer depends on the function, the organization’s priorities and the level of control, resilience and scalability required.

Michelle Connelly

In complex professional services organizations, the decision to keep a function in-house or outsource it often starts with a deceptively simple question: What does it cost to employ the people doing the work?

Begin with salaries. Add benefits. Factor in annual increases. Then compare that number with an outsourcing proposal. On paper, the internal model can look cheaper. But payroll alone is not the cost of running a function. It is the cost of employing the people who perform the work.

The actual operating model is larger. It includes the infrastructure required to keep those people productive: management, recruiting, training, technology, quality control, coverage, process improvement and the disruption created when something changes. It also includes the infrastructure required to measure performance, report on it and continuously improve it. The gap between those two numbers is where the total cost of ownership begins.

Start with the Fully Loaded Model

Consider a hypothetical 10-person internal team. An organization may see approximately $800,000 in annual salaries and conclude that it understands the cost of the function. But once employer taxes, benefits, retirement contributions and bonuses are included, that figure approaches $1.18 million.

The team still has to be operated. Add management oversight, HR and recruiting support, training, overtime, backup coverage and temporary staffing, and an illustrative first-year cost reaches approximately $1.52 million. Over five years, assuming modest compensation increases and continued operating costs, that same 10-person function represents approximately $8.3 million in total cost of ownership.

The point is not that every organization will arrive at $8.3 million. Compensation, benefits, staffing levels and operating assumptions vary considerably. The point is that $800,000 in salaries and $1.52 million in operating costs are not competing estimates. They describe different parts of the same operating model. That distinction is where TCO analysis becomes more useful.

The Cost Moves When the Function Is Under Pressure

The easiest costs to identify are direct ones. The harder costs emerge when the function is under pressure.

A support team misses a workload spike, for example, and the immediate response may be overtime. If the spike continues, temporary resources may be added. If experienced employees are consistently carrying the additional workload, they become both more likely to leave and harder to replace. If the departing employee was one of the people who understood the organization’s unwritten processes, the organization may also lose knowledge that was never formally documented.

Now the organization has a vacancy. The vacancy creates recruiting and onboarding costs, but it also creates a temporary productivity gap. Other employees absorb the work. Managers spend more time coordinating. Training becomes urgent because the new employee needs to become productive quickly. The original problem was workload. It has now become a staffing, management, training and knowledge problem.

This is why looking at each expense independently can obscure the economics. The costs are interconnected. One weakness in the operating model can create expenses several steps away from where the problem started.

Opportunity Cost Is the Cost You Don’t See

Some of the most significant costs never appear in the support function’s budget.

Consider a professional who needs an urgent presentation reformatted before a client meeting. The support team is at capacity, so the professional handles it personally. Elsewhere, a manager spends an afternoon resolving an operational issue; a senior analyst rebuilds a spreadsheet; or a department leader tracks down information that should have been readily available.

The work gets done, but that is precisely why the cost is easy to miss.

If 50 employees in a 100-person organization each spend just one hour a month performing work that could have been handled by a properly structured support function, that represents 600 hours of capacity a year. At an illustrative fully loaded value of $100 per hour, that is $60,000 in annual capacity. But the bigger question is what those 600 hours could have produced.

In professional services, an hour of an employee’s time may carry significantly more value than the compensation cost. The relevant comparison is not simply salary; it is the value of the work that person could have performed instead. This is opportunity cost in practical terms: the economic value of capacity diverted away from higher-value work.

At scale, small amounts of friction repeated thousands of times become a material operating expense.

The Support Function Has to Be Supported

There is another layer that is easy to overlook: the people performing support work also need an operating infrastructure around them. A team can be fully staffed and still be fragile if too much knowledge sits with a few experienced employees, if processes are learned informally or if managers are constantly stepping in to resolve exceptions.

Training is a good example. When formal development is limited, employees learn through experience, peer support and trial and error. Managers become the unofficial training department. Experienced employees become the knowledge base. New hires spend longer becoming productive because the organization is teaching them while simultaneously expecting them to perform. Eventually, the organization is paying for training—just not necessarily through a training budget. It pays through slower onboarding, manager time, inconsistent execution and reduced capacity.

The same pattern applies to reporting and performance management. Someone has to define the metrics, collect the data, monitor service levels, produce reporting and determine where improvement is needed. Those activities require systems, tools and management time. In an outsourced model, that infrastructure can be part of the service itself. The function can be held to defined performance metrics and service levels, with reporting and benchmarking built into the operating model rather than created separately by the client.

The same applies to process documentation and succession. If one employee is the only person who knows how a complicated workflow operates, that person’s expertise has effectively become part of the organization’s infrastructure. When that person leaves, the organization does not simply lose an employee. It loses part of the operating system.

That is why resilience is an important component of TCO. A function that appears inexpensive but depends heavily on individual knowledge may carry significantly more risk than its budget suggests.

Technology Does Not Remove the Cost of Ownership

Technology introduces another version of the same problem. Organizations often evaluate a new platform by looking at the license, implementation fee and maintenance cost. But technology does not operate independently of the business process.

Someone has to understand the workflow the technology is supporting. Who determines how requests should be categorized? Who updates routing when responsibilities change? Who monitors adoption? Who identifies where work is getting stuck? Who changes the workflow when the business introduces a new system? That person is part of the technology cost.

A platform can be modern while the process underneath it remains outdated. When no one owns that process, employees create workarounds. Different teams develop different methods for accomplishing the same task. Data becomes inconsistent. Users lose confidence in the system.

This is an increasingly important consideration as organizations automate more work. Automation does not eliminate process ownership. In many cases, it makes it more important. The technology, therefore, should be evaluated alongside the people and expertise required to keep it relevant. Technology has a life cycle. So do processes. TCO needs to account for both.

A Better Question for Finance and Operations Leaders

This is why executives evaluating an internal function should resist asking only: “What does this service cost?” The better question is: “What does it cost us to own this capability?”

That means looking beyond salary to understand the entire operating system surrounding the function: management capacity, knowledge infrastructure, technology ownership, coverage, turnover exposure, productivity loss, reporting and the capacity being diverted from higher-value work.

The five-year example illustrates how quickly the economics can change. A hypothetical 10-person team with roughly $800,000 in annual salaries can represent approximately $1.52 million in first-year operating costs and approximately $8.3 million over five years under the stated assumptions.

The specific number will vary. The methodology should not.

Outsourcing is not automatically cheaper. Keeping work in-house is not automatically better. The right answer depends on the function, the organization’s priorities and the level of control, resilience and scalability required. But the comparison should be fair. An outsourcing proposal should not be compared with just an employee’s salary. It should be compared with the fully loaded cost of owning the capability internally, including the people, processes, technology and management infrastructure required to make that capability work over time.

That changes the conversation from “What is the cheapest way to perform this work?” to the more strategic question of “Which operating model gives us the best combination of cost, capacity, resilience and performance?”

For organizations facing talent constraints, increasing client demands and pressure to do more with existing resources, that distinction matters. The true cost of a support function is not simply what you pay the people doing the work. It is everything the organization has to build, manage, measure and absorb around them to make the work work.

ABOUT THE AUTHOR:

Michelle Connolly is President of Enterprise Business Solutions at Opensity Solutions, where she leads strategic direction, operational excellence and scalable growth across the organization. With more than 20 years of experience in enterprise outsourcing, staffing and client operations, she brings deep expertise in building modern service models, driving transformation and delivering measurable business outcomes.

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