G2

Huy T.

Sr. Financial Analyst

Small-Business (50 or fewer emp.)

10/7/2026

"Centralized Budgeting and Reporting, With Room for More Automation"

4.5/5

What do you like best about Drivetrain?

We implemented Drivetrain to replace Power Plan and support budgeting, forecasting (scenario planning), 3 statement reporting (P&L, Cash Flow, Balance Sheet). Our workflow includes dashboards, Budget vs Actuals reports, GL Drill-downs, Forecasting with Commentary.

We find it very easy for non finance budget managers to find their numbers and understand their variances. We had to develop our own internal training to help users navigate these tasks. Users have commented that the interface is easy to navigate and intuitive.

We use a google sheets upload to integration daily. Our GL is FE NXT. Drivetrain is where end users get their actuals as we do not have unlimited users in the GL software.

Divetrain is blank slate budgeting and reporting software where everything is designed how you want it. Performance is excellent after the upgraded back-end database enhancements in 2026.

Pricing is very competitive and comparable to our previous software. So the ROI is excellent as the system is the next generation software which also includes the AI functionality. The AI Chat comes in clutch when building new reports or asking what numbers mean. Review collected by and hosted on G2.com.

What do you dislike about Drivetrain?

Our integration file wasn’t included in their list of modules. We currently run flat-file exports of our FE NXT GL Transactions and Paycom employee data, then drop them into Google Sheets to sync with Drivetrain.

Mapping is still somewhat manual as new data comes in and new projects and departments are created. Those items have to be mapped by hand into our hierarchies.

Another pain point was the time zone difference during implementation and support. Drivetrain is flexible, but we’re in EST, and if issues come up around 1 p.m., support isn’t always readily available.

We also had to go through several iterations of our dataset before we finalized our models. As a result, some legacy data ended up in their dimensions that we didn’t actually need.

AI is still learning and slower than Chat GPT.

Lastly, as they roll out updates it can impact some reports or functions you thought were final. One example is formatting and coloring of reports. I used color themes on the reports, but an update got rid of that and now allows you custom color the reports which I rather pick a theme then manually make the them for everything. Review collected by and hosted on G2.com.

What problems is Drivetrain solving and how is that benefiting you?

For Finance, rather than handling every question through separate reports and email exchanges, we can direct users to the relevant information in the platform by just copy and pasting a link from the system. In addition, we can just select a cell and @mention the users and they will get a email and can have the conversation on the report/cell/number.

In our previous system, we needed to export our data and use excel for reporting. Drivetrain is able to handle reporting better than our previous system.

This is how we implemented Drivetrain. We took all our Excel files and created them in Drivetrain. Then we experienced month end closes, annual budget, and fiscal year end to streamline these processes as efficient as possible. Review collected by and hosted on G2.com.