Zenskar Raises $15M Series A to Make Zero-Touch Finance a Reality

Finance teams aren't struggling because they lack AI tools. They're struggling because the systems underneath those tools were built for a simpler world. One-size-fits-all solutions that break at real-world complexity, forcing them to costly and error-prone workarounds.

Before we wrote a single line of code, Saurabh and I spent six months talking to 500 finance leaders. Companies can’t monetize the way they wanted to. Sales teams get creative with their contracts to close the deals. Finance had to deal with the complications that followed.

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This is why invoices are still reviewed or adjusted manually. Month-end close stretches to ten days. Controllers still build deferred revenue schedules in spreadsheets.

The broken foundations of finance tools

Modern pricing is exceedingly complex: usage-based tiers, discounts, prepaid credits, amendments, minimum commitments – multiplied across customer hierarchies, multiple entities, and multiple currencies.

Most tools fail at this. They treat real-world complexity as edge cases and nudge teams toward workarounds late into implementation. And when standard tools hit their ceiling, teams are forced to build and maintain in-house systems. Sardine did exactly that – four years of managing in-house infrastructure for their high-volume, usage-based pricing before they found Zenskar.

Why AI isn’t a catch-all

AI is undeniably changing what's possible for finance teams. The ones that adopt it will outpace those that don't. But there are inherent risks - errors carry human, legal, and systemic consequences. Accuracy, reliability, and compliance cannot be an afterthought.

Unfortunately, this is history repeating: Legacy tools bolted usage onto subscription software. Today, we're bolting AI onto cracked foundations. This persists the system limitations – it works as well as a Ferrari engine attached to a horse-drawn carriage.

Building zero-touch finance for real-world complexity

Zenskar is built to solve the complex problems other systems don’t take on. We truly believe that machines should automate operational grunt work, so you focus on strategic work.

With Zenskar, all you need to do is send your contracts and usage to automate everything downstream, get money in the bank, journal entries in GL, and revenue insights on your dashboard. You interact with the system only when you need information or strategic guidance. Everything else happens autonomously behind the scenes – Truly Zero-Touch.

This enables finance to scale the business without linearly scaling the team. You can focus on impactful work, keep up with sales, and stay in control, with auditability and compliance baked in.

Across the board, the results are the same: less time on operations. Posh is scaling its business without increasing headcount. Thriva’s monthly billing takes hours, not days. Pontera bills its clients in a single click. Yembo collects 50% of revenue a full month earlier with zero revenue leakage. Vertice closes books 70% faster.

Talk to us to get similar results for your team!

Building a new foundation: what AI-native truly means

In a world where features can be shipped in days, the foundation, meaning its architecture, determines the success and sustainability of systems. We made infrastructure choices over the last four years that unlock the full potential of AI.

Foundational flexibility

Most billing tools use linear data models – rows and columns, not unlike a spreadsheet. Pricing fields are limited - built for human inputs, tightly linked across workflows, and customization has hard limits.

These limitations compound with every minor deviation, scaling like a house of cards.

Unlike platforms that force finance teams into rigid, one-size-fits-all logic, Zenskar models contract data as objects on a graph — covering every amendment, every usage model, every edge case. In our previous example, a discount can be applied at the product, contract or bundle level without affecting other pricing dimensions.

‍This is how any pricing or contract you can describe in words, you can configure in Zenskar without engineering involvement, workarounds, or implementation teams.‍

Read more about our flexible foundations here.

Decoupling interconnected systems

Order-to-cash - billing, metering, collections, revenue recognition, accounting, and analytics are interconnected systems where every single contract amendment or pricing change can cause cascading effects throughout the system.

A healthy separation is critical for accuracy, ease of use and compliance.

• Metering decoupled pricing and contracts: Developers manage usage without being involved in finance workflows and vice versa. Billing changes do not require engineering to reconfigure metering.
• Revenue accounting decoupled from billing: While this is a compliance requirement, some systems still tie revenue to billing, forcing revenue adjustments on spreadsheets till date.
• Credits decoupled from billing: From configuration to rollover/expiry, credits run on a logic of their own, typically by engineering. Finance teams have their own needs invoicing, monitoring and recognizing revenue for these. Tying credits to billing makes it not just impractical, but unscalable.

AI-native from the ground up

This is where the gains from flexible foundation compounds with AI.

• Secure data access: Our AI has isolated access to each client's data (contracts, invoices, payments, usage) without compromising privacy, security, or accuracy. This allows agents to securely retrieve and operate on data, not just function as a chatbot overlay.
• AI capabilities: Extraction, reasoning, understanding, and generation along with integrations, function calling and MCP makes it possible for agents to run real finance workflows end-to-end rather than just assisting with isolated tasks.
• Deterministic orchestration: We rely on rule-based, deterministic logic for all key financial computations: invoice generation, transaction price calculation, revenue recognition, journal entry creation, etc.. AI never touches this.
• Guardrails without compromise: Every AI-generated output gets approved or verified by your team during the order-to-cash process. All money movement or customer-facing output happens only after human approval. All of it transparent and auditable.

Read more about our innovation here.

Agents to support you every step of the way

Our agentic capabilities empower finance teams with the ease of AI copilots and the flexibility of DIY workflows without compromising on the reliability and auditability of off-the-shelf solutions. Here’s how:

Plug and play with agents marketplace 

This is a growing library of specialized agents that finance teams can customize, chain, and deploy across the full order-to-cash cycle. Each agent can have a specific function, workflow, with its own tools, context, and logic to perform for complex, multi-step automation. These operate within the platform guidelines and deterministic automation.

Work where you are with AI copilot

Get all the features of Zenskar without having to interact with the platform all the time. Assign tasks, review exceptions, and approve actions from major AI tools like Claude, ChatGPT, etc. or from Slack with our native agent.

The result: Humans supervise, agents execute. Let the agents take over.

If your current system has let you down or you’re ready for the future of finance, this is for you. Talk to us →