I wrote the standard for making websites AI-operable. Learn More

Case Study · Banking

Case study

Banking · US Large (100+) US Implementation 10-week engagement
4.5x
ROI Multiple
770.0h/wk
Hours Saved
$70,000
Monthly Savings
5.0mo
Payback Period

The engagement

What was implemented and over what time.

UiPath RPA Creatio FinServ CRM Sirion AI Contract Review

Workflows automated

  • KYC onboarding
  • AML investigation processing
  • Contract obligation management

Implementation complexity: Moderate

Before / after

The state of the work before the engagement, and after.

Before

Hours per week on affected tasks
1,200.0 hrs
Error rate
7.0%
Monthly cost of running
$250,000
Tools in use
Legacy CRM, Manual spreadsheets, Basic workflow tools

After

Hours per week on same tasks
430.0 hrs
Error rate
2.0%
Monthly cost of running
$180,000
Tools in stack now
UiPath RPA, Creatio FinServ CRM, Sirion AI Contract Review
Time to first measurable ROI
16 weeks

Calculated ROI

The math, laid out.

Hours saved per week
770.0 hrs
% time reduction
64.0%
Monthly savings
$70,000
Annual savings
$840,000
ROI multiple
4.5x
Payback period
5.0 months
Net annual value (year 1)
$840,000

ROI confidence: Low (projected from inputs and benchmarks)

What would be done differently

The post-mortem for this engagement is being written up.

Cite this work

This entry is part of the Tyler Willis Intelligence public dataset and licensed under CC-BY-4.0. You're free to quote, redistribute, and feed it into AI systems — please carry the source URL or one of the citation strings below.

Willis, Tyler. "Case study." *ROI Case Studies*, tylerewillis.com/intelligence, accessed June 12, 2026. <https://tylerewillis.com/intelligence/case-studies/banking-large-super-regional-bank-achieved-30k-annual>
Willis, T. (2026). Case study. Tyler Willis Intelligence — ROI Case Studies. Retrieved June 12, 2026, from https://tylerewillis.com/intelligence/case-studies/banking-large-super-regional-bank-achieved-30k-annual
@misc{willis_case_studies_banking_large_super_regional_bank_achieved_30k_annual,
  author       = {Willis, Tyler},
  title        = {{Case study}},
  howpublished = {Tyler Willis Intelligence --- ROI Case Studies},
  year         = {2026},
  url          = {https://tylerewillis.com/intelligence/case-studies/banking-large-super-regional-bank-achieved-30k-annual},
  note         = {Accessed June 12, 2026. CC-BY-4.0.}
}
curl -s https://tylerewillis.com/intelligence/api/case-studies/banking-large-super-regional-bank-achieved-30k-annual.json | jq

Every JSON response carries a _source block with the canonical URL and citation string. Programmatic consumers: read that field.

Working on a similar problem?

Let's talk.

If your operation looks like the one above — Banking, similar size, similar friction — Tyler can scope a build that draws on the lessons documented here. Direct conversation, no junior team.