Burning the Playbook: How Liquid AI Redefined Financial Success with FloQast’s AI Agents

Liquid AI, a company at the forefront of device-aware artificial intelligence, required a financial operations platform that mirrored its own innovative DNA. 

Moving from an outsourced accounting model to an internal team, VP of Finance Jonathan Mears sought to avoid the "hodgepodge" of disconnected systems often found in rapidly scaling tech companies. 

Liquid AI selected FloQast particularly because Jonathan was looking to onboard a solution that was able to consolidate multiple current and future processes across the finance landscape. In the short term, though, the Liquid AI finance team was excited to leverage FloQast Transform for building custom AI Agents as soon as possible. This decision allowed the team to maintain a four-day close and avoid additional headcount, even as operational complexity increased exponentially.

The Challenge: Avoiding System Fragmentation

As Liquid AI transitioned from leveraging QuickBooks and an outsourced accounting firm to implementing NetSuite internally and bringing their accounting team in-house, the finance team faced a critical juncture. The primary goal was to establish a robust, GAAP-compliant financial foundation that met leadership and investor expectations. However, Jonathan Mears, VP of Finance, was determined to avoid a common pitfall he had observed at other major tech companies: a fragmented landscape of disconnected software solutions.

"I wanted to avoid a hodgepodge of random systems and connections everywhere," Jonathan explained. "At previous companies, I have seen accelerated growth in the business put Finance on their back heel, leading to a bunch of bandaid solutions or disparate systems that didn't talk well together. At Liquid AI, we had the opportunity to make foundational decisions from ground zero, with scale and the whole end-to-end landscape in mind. We wanted the least amount of systems possible to eliminate the risk from integrations and multi-system workflows."

The team needed one solution that could handle the increasing complexity of international expansion and intricate allocations without requiring a heavy investment in disparate tools. The legacy systems evaluated were not implementing AI capabilities fast enough to keep pace with Liquid AI's needs, prompting a search for a more nimble, future-proof partner.

The Solution: An AI-First Platform for an AI Company

FloQast consolidates multiple workflows—including close management, reconciliations, and flux analysis—into a unified environment. However, the decisive factor for selecting FloQast was its alignment with Liquid AI’s own team values. As an AI organization, the team was eager to adopt a platform that embedded artificial intelligence into its core functionality.

"FloQast was a large enough company to check the box on large portions of end-to-end finance processes, while still placing a large emphasis on AI," Jonathan noted.

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"As an AI company, our whole team takes a first-principles approach to everything we do. We were incredibly excited about the prospect of using an AI-driven platform like FloQast Transform to internally reimagine how finance and accounting work could be performed. We actually implemented FloQast faster than we needed to just to get to the AI agents that we’re using today."

- Jonathan Mears, VP of Finance

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This strategic alignment turned the implementation into an opportunity for innovation. The finance team did not view FloQast merely as a checklist tool, but as a platform to fundamentally modernize their operations.

Unleashing Innovation with FloQast Transform

The introduction of FloQast Transform was the catalyst that secured the partnership. This capability allows finance teams to create custom AI Agents that automate specific, repetitive workflows. For Liquid AI, this meant they could address complex challenges—such as multi-layered intercompany allocations—without purchasing expensive, specialized software or hiring additional staff.

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"The biggest thing that really won it for us was FloQast Transform and the ability to build AI Agents. FloQast AI agents are amazing. The product allows you to integrate data automatically or through manual inputs, and then you literally just get to talk to it. Behind the scenes the AI agents build the process that repeats every month at the click of a button. It allows us to save time on a daily basis throughout the whole month, not just during month-end close."

- Jonathan Mears, VP of Finance

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By utilizing Transform, the finance team could effectively "burn the playbook"—a core company value—and build processes from scratch that were tailored exactly to their needs. This flexibility allowed them to automate a seven-step layered intercompany allocation process between entities that would have otherwise required significant manual effort or a robust allocation engine.

Liquid AI’s Custom Agents

Today, Liquid AI has custom-built eight AI Agents. Jonathan broke them down:

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Strategic Impact: Building a Forward-Thinking Finance Organization

FloQast Transform has enabled Liquid AI to develop a finance function anchored in continuous innovation and operational agility. By harnessing advanced AI automation, the finance team adapts rapidly to evolving business requirements, efficiently manages complex workflows, and delivers timely, reliable insights to stakeholders. This approach not only sustains a high standard of productivity but also positions the team as a key driver of organizational growth.

Jonathan emphasized the value of this transformation:
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"FloQast has allowed us to build a super efficient finance function that can adapt at the speed required by a high-growth, AI-driven company. Our ability to automate, customize, and improve key tasks means we are always ready for what comes next, without compromising efficiency or accuracy."

- Jonathan Mears, VP of Finance

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As a result, Liquid AI’s finance team now exemplifies how technology-forward solutions can deliver measurable business value. By strategically leveraging FloQast Transform, the organization has achieved both immediate gains in efficiency and established a scalable framework for future adaptability. According to Jonathan, the finance function at Liquid AI has become a model of operational excellence, demonstrating that innovation and precision can be achieved through the thoughtful application of AI-powered tools.