Fintech Case Study: 30% Less, Beat In-House CSAT

Support volume triples every January. The headcount doesn’t unwind in February.

Payroll and tax questions don’t arrive evenly. They peak hard at the turn of the year, when employers close their books, issue wage statements and find the errors that need correcting. Then they fall away.

The peak needed sixty to seventy dedicated staff who’d have very little to do by late spring. That isn’t a mild seasonal curve. It’s a tripling.

And these aren’t questions you answer from a script. They’re wage-statement corrections, unemployment rate changes, agency notices, filing deadlines. Answer one wrong and your customer doesn’t have a poor experience. Your customer has a problem with a government agency, and you caused it.

One full year of demand, repeating

Relative team size across the year. The shape repeats annually.

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

Year-end close and filing deadlines

Steady state

3x peak to trough

Hiring, not hiring, and hiring temps all fail.

Hire permanently for the peak and you carry people with nothing to do for two-thirds of the year. Support becomes a fixed cost that grows with your customer count.

Staff for the quiet months instead and you fail customers in the weeks when a payroll mistake is least forgivable. January is when customers find out whether they can rely on you, and the renewal conversation arrives a few months later carrying whatever they concluded.

Flexing a domestic team doesn’t work either. A six-week peak takes ten to twelve weeks of hiring and training lead time, so you commit before the peak is forecastable, and reducing a US team past a certain size carries notice obligations. So the company kept paying temps a premium and bought real flexibility at the price of never accumulating expertise.

A workload that spikes needs flexible staffing. Work this technical needs people who stay. Most sourcing decisions solve one of those and quietly give up on the other.

The price was tested against the real market, not assumed.

The company arrived with a target price well below what it was paying its temps, and its own finance team asked first whether that number was realistic or wishful. OC holds pricing data across 300+ vetted providers gathered over 13 years on identical commercial terms, so rather than assert the target was achievable, it put the target into the market and let the market answer.

Several providers bid, which established the number was real. One large global provider declined and put its reasoning in writing: the target sat more than three dollars an hour below its own floor. That second answer is the more valuable one. The company signed right at the edge of what the market would genuinely do, with documented evidence of where that edge was.

Four requirements did the filtering, and price wasn’t first: training economics built into the model, strong written English, native integration with the platforms the team already used, and the ability to scale against a tax calendar. But the detail that decided it wasn’t on anybody’s capability slide. The winning provider ran its own payroll on the company’s software. It was already a customer.

Step 1

Screen 300+ vetted providers on 100+ performance data points, on identical commercial terms

Step 2

Test the target price against real bids, and record who declines and why

Step 3

Narrow to two, issue a formal RFP with a fixed deadline, and let the company select

Step 4

OC’s VMO benchmarks the program every month, peak and trough

Four years, 30% less, and the only price change was downward.

The program went live in the first week of October, six to eight weeks ahead of the peak, so the first real test came while everyone was still watching. That cycle has now run four times. From the first season, the outsourced team cost 30% less than the premium temps it replaced, measured against what the company was already paying itself, and the savings has held at 30% in every year since.

A performance review during the relationship recorded the outsourced team outscoring the company’s own internal support on customer satisfaction. And in one cycle the company asked for 164 people and was staffed at 150, because the volume didn’t justify the rest.

Cost to run the program

Premium temps (before)
100%

Outsourced team (after)
70%

30% less than temporary staff, every year, measured against what the company was already paying itself, not against a competitor quote.

One peak: 14 seats never billed

150

of 164 seats

150 billed justified by real volume

14 never billed volume didn’t justify

Under a normal per-head contract, the whole PO gets filled and paid. This one didn’t, because OC’s VMO was reading the contract against real volume every month.

Four ways to read this outcome

Different leaders read this story against different numbers. All four readings are correct.

If support cost is a board conversation

30% less than what the company was already paying itself, delivered in year one and repeated every year since, with 1% of price movement across four years. And no permanent headcount commitment for a six-week peak. Support stopped being a fixed cost that grows with the customer count.

If renewals follow your busiest month

January is when customers find out whether they can rely on you, and the renewal conversation arrives a few months later carrying whatever they concluded. Missing targets in that window isn’t an operational blip. It’s a retention event with a delay on it.

If your quality floor is your job

It takes four to six weeks before somebody can safely answer an agency notice or a filing question, which is longer than most temp assignments last. A permanent team could carry that training, and it then outscored the company’s own internal team on satisfaction.

If you have to sign off on the risk

This work touches payroll tax filings and the control reports a customer’s auditors ask for, so compliance scope was defined before price was discussed. Native platform integration was a filtering requirement, which kept the engineering lift small enough to avoid a technical veto.

Things to take from this story

Variable demand should be met with variable cost. Your volume triples every January, so why are you paying for triple the headcount in July.

Temps are the right answer to a spike and the wrong answer to expertise. Most customer questions are both at once, and the second problem is the expensive one.

A bidder walking away over price isn’t a failed search. It’s the market telling you in writing where the floor actually is, which you can’t buy any other way.

Staff the peak you measured, not the peak you ordered. That only happens if somebody independent reads the contract against the volume every month.

They paid premium temp rates for tax questions. The replacement cost 30% less.