Everyone in fintech knows that compliance is expensive. But how expensive, exactly? And where does the money actually go? We surveyed 200+ compliance professionals at fintechs and banks to find out. The results paint a stark picture of an industry ripe for automation.
The numbers
Here are the headline findings:
For an early-stage fintech, these numbers represent a significant drag on growth. But the dollar figures only tell part of the story.
The hidden costs
Opportunity cost of delayed launches. When compliance review pushes a product launch back by three months, the cost isn't just the compliance spend — it's the revenue you didn't earn. For a lending product expecting $500K in monthly originations, a three-month delay represents $1.5M in lost volume. For a payments product, it could mean losing a key partnership window entirely.
Engineering time diverted to compliance. 67% of respondents said their engineering teams spend meaningful time supporting compliance — pulling data for evidence requests, building internal compliance tools, or attending audit walkthroughs. On average, engineering teams reported losing 15% of their capacity to compliance-related work.
Talent retention. This one surprised us. 41% of compliance professionals said they've considered leaving their role due to the volume of manual, repetitive work. The best compliance talent wants to focus on strategy and risk management — not spreadsheet wrangling. Companies that can't offer that will lose their best people.
Where the time goes
We asked compliance teams to break down how they spend their time. The results were revealing:
The takeaway: compliance professionals spend 83% of their time on work that could be significantly automated — and only 11% on the strategic work that actually requires human judgment.
The path forward
The good news is that most of the manual compliance burden is automatable. Evidence collection can be automated through system integrations. Regulatory monitoring can be handled by AI. Audit packages can be generated on demand. Policy mapping can be done algorithmically.
The teams that automate these workflows will free their compliance professionals to do the work that matters: understanding risk, advising on product strategy, and building relationships with regulators. The teams that don't will keep losing time, money, and talent to the compliance grind.
We built StackTalk to tip the scales. If these numbers resonate with your experience, we should talk.