Skip to main content
Work1 of 5

Fintech · AI · SaaS

Zeni

Lead Product Designer

Zeni is an AI bookkeeping software backed by a dedicated finance team. With a comprehensive suite of financial tools and services, you can leverage automation to save 70 hours per month and increase the accuracy of your financial operations.

  • AI
  • Fintech
  • SaaS
  • Bookkeeping
Zeni cover

Zeni overview

Problem Statement

Month-end insights email

At the start of every month, the Zeni FinOps team emails all its customers about their monthly insights. The process involves three steps: the preparer drafts the email and sends it to the reviewer, the controller for final approval, and then to the customers.

This process takes a long time and sometimes has human errors.

Problem statement

Research

FinOps teams often face heavy workloads during the beginning and end of each month, leading to stress and time constraints. An analysis of team activities using Clockify data revealed that the month-end email took up a substantial amount of time for all team members.

This highlighted a gap in efficiency, prompting a decision to automate the process to alleviate workload pressure and optimise time management during peak periods.


Ideation

Ideation Ideation detail Ideation further detail

Testing & Iterations

Testing iteration A Testing iteration B

Final Solution

Instead of building a fully-featured solution from the start, we focused on creating a basic version and iterated based on user feedback. Initially, we developed a feature that pulled relevant numbers and generated a monthly email. This simple solution showed clear success, so we added enhancements from small tweaks like editing the subject line to bigger updates like a custom text box for notes and requests.

With the success of early versions, we expanded the feature by integrating an audit bot to analyse key metrics, allowing the FinOps team to improve company scores. We also added a customer request section, making it easier for the team to track past and pending requests. These additions have made the feature a comprehensive solution, saving significant time by reducing the need to navigate multiple platforms.

Final solution

Reflection & Learning

Rather than immediately building a traditional solution, we paused to understand the team’s challenges and rethought automation from a fresh perspective.

This approach led to a significant breakthrough: month-end emails, which used to take 10 to 40 hours depending on the customer, now take just 30 seconds, excluding any custom requests. This massive time saving was a big win, freeing up the team to focus on more impactful work and helping the company achieve its automation goals effectively.

Reflection and learning