Nivelo— Secure, Fast Payment Operations for PSPs & PEOs
Nivelo is a fintech startup that provides a secure, real‑time payment ops platform payroll service providers. When I joined, payroll operations were fragmented, manual, and error‑prone — leaving customers exposed to failed payments, delays, and compliance risk.
I designed Nivelo’s first unified payroll operations platform, replacing a patchwork of spreadsheets and ad‑hoc tools with a scalable, intuitive web interface. Within weeks, the MVP was in active use across multiple customers, validating our approach and enabling rapid iteration.
Impact:
Eliminated most manual steps in payroll review and approval
Gave customers visibility into payment issues before payroll runs
Enabled proactive fixes, including financing options to prevent NSFs and missed payroll
Role
First Product Designer
Responsibilities
Owned UX/UI and product design for Nivelo’s platform, from 0→1
Collaborators
Chief Product Officer, CEO, Engineering
Timeline
Q4 2022–Q2 2023

🧠 Problem
Payroll providers process millions of ACH transactions every pay cycle but lacked tools to know—before payroll ran—whether their clients were truly ready to fund and execute payments accurately.
This created real risk and operational strain—failed or misdirected payments could erode trust, trigger compliance issues, or delay employee wages. Operations teams were left scrambling to troubleshoot with limited context and no standardized process.
Without a unified system, operations teams relied on disconnected tools, spreadsheets, and reactive workflows to:
Verify clients had funds to cover payroll
Catch errors like incorrect employee bank account details
Predict potential funding shortfalls and offer short‑term financing to prevent missed payroll
These blind spots slowed response times, caused payment errors, and risked both employer and employee trust.
🎯 Goals
I set out to design and launch a product that would:
Surface transaction-level risk and readiness in real time
Provide clear, actionable insights to operations teams
Streamline decision-making with intuitive, triage-focused workflows
Build trust and transparency with customers processing sensitive payroll data
🛠️ My Role
As Nivelo’s first and only product designer, I led the platform’s design from 0→1.
Partnered directly with founder to define MVP scope and workflows
Interviewed early customers and Nivelo Ops staff to map current processes
Designed end‑to‑end UX for payroll preparation, issue detection, and resolution
Created interactive prototypes to validate flows before build
Supported engineers through QA and refinement
📋 Key Features
Transaction Risk & Readiness Triage – Centralized dashboard showing high-risk transactions, funding readiness, and supporting data to help teams prioritize and act quickly
Alert System & Workflow Tools – Custom alert logic, inline annotations, and workflow statuses to streamline investigation
Confidence Thresholds – Visual indicators to quickly interpret readiness or risk strength and improve decision quality
Audit Trails – Logged actions for transparency and regulatory compliance
Human-in-the-Loop Feedback – User feedback loops to confirm/dismiss predictions, improving the model over time
📈 Outcomes
Shipped MVP in under 3 months
Replaced fragmented, manual workflows with a unified, scalable platform
Enabled early customers to verify funding availability before payroll runs
Helped teams catch and correct errors—like invalid employee bank account details—before they blocked payments
Reduced time spent triaging failed or misdirected transactions
Increased operational confidence and shifted workflows from reactive to proactive
Became the foundation of Nivelo’s core offering and future product roadmap
Mapping the Ecosystem
Before designing any interfaces, I mapped how payroll moves through the broader ecosystem—who the players are, what data passes between them, and where readiness or risk issues surface.
The system-level map showed how Nivelo sits between payroll providers and payment processors, ingesting ACH files and transaction metadata, running real-time analysis, and automating actions like holds, alerts, or approvals before funds are released.
It aligned the team on what needed to be configurable, what needed to be real time, and where in the lifecycle we had the most leverage.
Diagrams showing where Nivelo fits within the payroll lifecycle
Setting the Foundation
With the ecosystem mapped, the next challenge was integrating Nivelo into the payroll provider–employer relationship without adding friction.
I mapped the full onboarding journey—where Nivelo appears, what data is required, and how signals influence downstream behavior. A service blueprint revealed inconsistencies between providers and helped us design a unified experience with room for flexibility.
This shaped early product requirements, including configurable rule templates, account state tracking, and automated decision logging.
Designing for Risk and Automation
Once onboarding was mapped, I focused on how the system would handle payroll data in motion. I helped define a modular workflow engine that could ingest ACH data, apply configurable rules in real time, and support both automated and manual resolution paths. This ensured flexibility for different employer tolerances and escalation protocols while flagging issues, triggering actions, and providing visibility into why they happened.
Designing the Experience
With the architecture in place, I focused on making the system usable and actionable for operations teams, turning complex signals into intuitive workflows. One of the earliest challenges was enabling our customers—payroll providers—to seamlessly onboard their employers into the system.
We designed an onboarding flow that fit naturally into the payroll provider's workflow, capturing the necessary configuration data. From the moment an employer was connected, Nivelo began surfacing early risks, errors, or inconsistencies. This insight from day one gave customers and employers immediate confidence and prevented costly errors before they could impact paychecks.
Embedded onboarding flow that allowed payroll providers to activate Nivelo for their employer customers while beginning risk and error detection from the very first run.
Parsing ACH Data at Scale
Nivelo’s ACH parsing engine surfaced errors, risks, and inconsistencies across millions of payroll transactions before payments were sent—giving operations teams a crucial intervention window.
By normalizing ACH batches in real time and flagging anomalies early, the platform let users review, resolve, and modify payment instructions directly within Nivelo.
I designed the transaction and batch view to make interventions intuitive, with clear status indicators, drill-down transaction details, and direct links to resolution workflows.



Batch-level monitoring interface. Surfaced errors, risks, and inconsistencies before payments were sent, enabling teams to review and modify payment instructions in real time.
Managing Issues Transparently
When the parsing engine flagged an anomaly—whether a formatting error, failed transaction, or rule-based hold—the platform guided users to understand the issue and resolve it without breaking their workflow.
I designed issue detail views that put all context in one place: triggering condition, related transactions, history, and recommended actions.
Resolution paths were embedded directly in these screens, letting users approve, reject, or escalate issues without leaving the platform—reducing back-and-forth and improving resolution time.


Triage section offering global view of all issues
Issue detail screen showing trigger conditions, related transactions, and built‑in resolution actions.
Lessons Learned
Designing for early-stage B2B fintech meant staying laser-focused on clarity, trust, and speed of value delivery. The goal wasn’t feature richness—it was empowering payroll ops teams to catch issues early and take action with confidence. We built a tool that prioritized signal over noise, enabling users to shift from reactive troubleshooting to proactive resolution.
What worked:
Real-time insights—especially around funding and risk—helped surface trust, even when problems were detected
Replacing fragmented, manual tools with a single, centralized view reduced decision-making friction
Tight collaboration with early customers allowed us to validate assumptions and iterate quickly
What didn’t:
Initial MVP leaned too heavily into power-user complexity, creating a learning curve for less technical ops roles
Predictive features lacked clarity on confidence levels, leading to hesitation in early use
Internal stakeholders underestimated the importance of in-product education and framing
How we responded:
Simplified early UI surfaces to better prioritize key signals and reduce initial overwhelm
Clarified predictive language and introduced visual indicators to align with varying user mental models
Developed light in-product onboarding and contextual tips to help new users build trust in the system
This work reinforced a core lesson: in B2B fintech, speed and clarity are key drivers of adoption—and building for proactive action creates value not just for users, but for the business as a whole.