Decision Science + AI

Transform municipal revenue collection

Data-driven solutions that help cities recover millions while serving residents equitably

WE consult on revenue policies and implement software to fix the problem.

SERVUS collaborates with municipalities to develop and implement data-driven revenue policies that balance fiscal responsibility with community equity. We combine municipal operations understanding with advanced data science to first design evidence-based frameworks with our clients, then deploy our software solutions to implement these policies and deliver measurable fiscal outcomes.

Revenue Optimization

Do you think your city can collect more revenue from fines and fees? SERVUS creates AI-powered software that makes collections fairer and easier to manage. We use analytics to predict which individuals might not pay and offer a personalized payment to incentivize compliance, increasing affordability and boosting on-time payments.

Hear firsthand how the City of Portland, OR is using SERVUS to improve revenue and equity. Watch our recent webinar with the California Municipal Revenue and Tax Association to hear insights as well as a discussion with the Government Finance Officers Association.

Use data, not guesswork TO Boost collections and reducE ADMINISTRATIVE burden on staff

SERVUS leverages advanced analytics and machine learning to understand customer behavior and ability to pay. You can partner with SERVUS to optimize your collections and accomplish your fiscal and equity goals.

Our Partners

The organizations that helped SERVUS turn research into an innovative government platform.

What We’ve Learned

  • Debt forgiveness can provide much-needed relief, but it's often a temporary fix. Many people end up back in debt because the root causes of their financial struggles haven't been addressed. We need solutions that not only offer immediate relief but also help people build long-term financial stability.

  • When cities rely on third-party debt collectors, it often hits those struggling the most. These agencies can be aggressive, adding extra fees and stress to those already facing financial hardship. This can create a cycle of debt that's hard to escape.

  • Payment plans don’t address the root problem of affordability and tend to allow people to accumulate more debt.

  • Traditional income limits can create a harsh "all or nothing" situation. People barely over the line get no help, even if they're facing hardship. We need a smarter system that considers everyone's unique circumstances.

  • Policies aimed at revenue tend to have less than desirable outcomes for the government and its constituents.

  • Many cities are losing millions of dollars because they're not collecting fines and fees effectively. Outdated systems and a lack of data make it hard to know why unpaid bills are piling up, hurting the city's budget and creating unnecessary hardship for residents.

  • Compliance rates will rise when more people can afford their payments.

  • Smart and nuanced revenue approaches work much better than one-size-fits-all solutions.

  • Assumptions about fairness have produced policies that keep low-income residents in debt traps.

SERVUS is using cutting edge technology to tackle the debt crisis in local governments

  • Improved collections and fairness

  • Empirical evidence based pricing structures

  • Keep your existing payments vendors

  • Minimize delinquency

  • Easy implementation

  • No upfront or setup costs

  • Designed to fit your regulatory framework

  • Eliminate administrative burdens for staff and customers

Cities turn to fines and fees as a revenue source, the costs of collections practices … can be very high. In many cases, the cost of collection may exceed revenues from fines and fees due to the high direct costs of collecting debt and the low rate of collection.”

— Obama White House Council of Economic Advisors

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