Creo by ZenStatement
The AI platform purpose-built for modern finance teams
86 followers
The AI platform purpose-built for modern finance teams
86 followers
ZenStatement introduces Creo, an AI platform designed to house a growing team of specialized finance agents, built to execute core finance workflows. Launching first is the AI Finance Analyst, a conversational, finance-native agent that transforms, reconciles, and analyzes structured financial data in minutes. Upload a file, ask questions in plain English, and instantly receive mismatches flagged, trends visualized, and audit-ready outputs.
@ankit_narsaria Hi Ankit. Congrats on launching. Does Creo focus more on data analysis, forecasting, reporting, or all of these? How does Creo handle complex financial data like spreadsheets, reports, and market data?
@kimberly_ross , Hi! Thanks a lot 😊
Creo is designed to cover the full FinOps spectrum — from data analysis and reconciliation to reporting and deeper financial insights. The goal is to act as a finance-native AI layer across operational financial data.
For complex financial data like spreadsheets, reports, and settlement files, Creo can ingest and understand structured and semi-structured data, map fields across different sources, and then run analysis, reconciliations, and anomaly detection on top of it.
So instead of just dashboards, it’s more like an AI analyst that can work directly on finance data and answer questions, generate insights, and automate workflows.
Hey Product Hunt Community! 👋 Sourabh here, Co-Founder of ZenStatement.
We built Creo because of one pattern I kept seeing in every CFO conversation over the past year: brilliant finance leaders spending 70% of their time as data scouts — waiting on SQL from engineering, stitching CSVs at 2 AM — instead of actually doing strategy.
The AI Finance Analyst we're launching today is our answer to that. It's not a dashboard or an LLM wrapper. It writes and executes Python to find actual answers in your transactions, and every insight comes with the underlying SQL so you can verify it yourself. Because in finance, trust isn't given — it's earned.
We're moving toward what we call the Autonomous Finance Office, where the person closest to the numbers is finally empowered to question them.
Would love feedback from CFOs, controllers, and ops leaders here — especially on where the bottlenecks still hurt the most in your teams. 🙏
Try the Analyst: https://ai.zenstatement.com/
Today we’re launching Zenstatement’s AI Finance Analyst, Creo.
Everyone talks about building “ChatGPT for Finance.”
But in finance, 99% accuracy is a failure. The standard isn’t “mostly right” — it’s 100% precision and full auditability.
That’s why we built something different.
Over the past few months, our team at ZenStatement has been developing Creo, the multi-agent engine that powers our AI Finance Analyst. Instead of wrapping an LLM and hoping for the best, we built a system designed to think like a financial analyst.
Under the hood, the system combines:
• Automated financial reconciliation across multiple data sources
• Deep financial data analysis and anomaly detection
• Deterministic validation pipelines for audit-ready outputs
• Dynamic Python code & SQL query generation to compute and verify calculations
The result is an AI system that doesn’t just guess answers — it reconciles, calculates, validates, and explains them.
If you're interested in where AI meets real financial workflows, we’d love your support and feedback on Product Hunt.
Explore the product here:
https://app.zenstatement.com/signup
Great to finally share Creo with the Product Hunt community.
While working on the AI Finance Analyst, one thing became very clear: reconciliation is rarely a clean or straightforward problem. Real financial data is messy — mismatched formats, partial records, edge cases across systems — and a lot of finance teams still end up spending hours manually tracing where numbers stop aligning.
A big part of what we focused on while building Creo was making it easier to explore and reason about financial data without needing to rely on dashboards or SQL for every question. The goal was to let finance teams interact with their data more directly while still keeping the outputs structured and traceable.
Really looking forward to hearing how teams here handle reconciliation and financial analysis today — and where the biggest bottlenecks still are.
If you get a chance to try it, I’d genuinely love to hear your feedback.
Try Creo's AI Finance Analyst:
https://app.zenstatement.com/signup
Super excited to see Creo finally live on Product Hunt! 🚀
I’ve been part of the team building the AI Finance Analyst, and one thing we kept seeing while talking to finance teams was how many questions were stuck behind SQL queries, dashboards, or waiting on data teams.
A big part of our work went into making the agent actually understand financial structures and reconciliation logic, not just answer questions over spreadsheets. The goal was to make it possible to upload a file, ask questions in plain English, and get structured answers with reasoning you can audit.
This launch is just the beginning — we’re already working on more specialized finance agents inside Creo.
Would genuinely love to hear feedback from finance folks here about the kinds of reconciliation or data questions that slow your team down the most.✨
Try Creo's AI Finance Analyst: https://app.zenstatement.com/signup
Excited to see Creo finally live!
One thing we kept coming back to while building Creo was this: in finance, almost right is still wrong.
A lot of generic AI copilots sound confident, but they don’t understand financial schemas, reconciliation logic, or the audit trail behind the numbers. That’s where mistakes become expensive.
Creo was designed differently — finance-native reasoning, structured outputs, and traceable logic so you can actually trust the answers, not just read them.
Excited to see how finance teams use it and where we can keep pushing the boundaries of AI in the CFO stack 🚀
Try Creo's AI Finance Analyst: https://app.zenstatement.com/signup
Super excited to launch Creo today!
While working closely with finance teams, one pattern kept showing up: hours spent reconciling data, validating numbers, and building manual analyses before any real decision-making could happen.
We built the AI Finance Analyst to change that workflow. Upload your financial data, ask questions in plain English, and get reconciliations, mismatches, and insights in minutes. This is the first agent in a broader vision, a team of specialized AI finance agents that can execute core finance workflows.
Would love to hear what you think and how you’d use it!