Financial Data Science • For CPA, FCFO & Bookkeeping Firms
Financial intelligence at the intersection of data science and accounting.
Fracfai is a data science and analytics partner for CPAs, fractional CFOs (FCFO) and Bookkeeping practices.
We don't do bookkeeping, cleanup, or tax work.
We focus only on client diagnostics and forward-looking cash flow forecasting that support your professional practice and judgment.
The aim is simple: scope and clarify how healthy the books are before you commit to cleanup or advisory, and provide high-fidelity forecasts once the structure is sound.
Quietly behind the scenes as a data science layer you can lean on and, when useful, white-label.
Our Core Services
Our primary offerings are built around the same idea: transaction accuracy first, forward visibility second.
One looks at how well the books are functioning; the other looks at how cash is likely to move.
Designed for CPA-ready documentation and advisory conversations.
Two parts of the work are consistently difficult to scale: cleanup scoping on messy books, and serious cash flow forecasting on imperfect data.
Cleanup scoping is noisy
Legacy mergers of charts of accounts, partially cleaned periods, and unexplained equity moves make it hard to quickly answer:
“How bad is this, and what will it take to fix?” Diagnostics exist to support that judgment call.
Forecasting is underserved
Many small and mid-sized businesses still rely on spreadsheets and intuition for cash planning.
Our goal is to bring quant-style rigor into a format CPAs and FCFOs can actually use with clients.
CPAs need neutral partners
We do not compete for your clients, offer bookkeeping, or sell tax services.
Fracfai was designed specifically to live behind the firm, not beside it.
Why Data Science Matters
When you’re dealing with years of history, thousands of transactions, and complex seasonality,
structure and patterns are hard to see by inspection alone.
Preprocessing to anonymize, clean, standardize and restructure financial data.
Anomaly and structural tests to highlight where the books behave inconsistently.
Time-series ensembles to reduce dependence on any single model or parameter choice.
Uncertainty modeling to present a more truthful outlook.
ML and AI pattern detection to turn raw signal into concise, human-readable findings.
None of this replaces professional judgment. It exists to extend visibility, clarify true scope, and help set more realistic expectations about the future.
While modern financial platforms have transformed reporting efficiency, they are ultimately built for consistency and standardization. Fracfai was created for the opposite: irregularity, ambiguity, and the moments when the numbers cannot be taken at face value. Where systems reach their limits, disciplined reasoning begins.
Engagements are structured to respect your time, your client relationships, and your existing processes.
1
Context & objective
Short call to understand the client, where you see risk or uncertainty, and whether you’re primarily scoping cleanup, preparing for advisory work, or planning around cash.
2
Data & boundaries
You provide exports or controlled access. We keep scope narrow: structural diagnostics and forecasting only, with clear expectations around privacy and data handling.
3
Analysis & modeling
Diagnostics: structural tests, anomaly flags, and pattern reviews.
Forecasting: multi-model time-series, uncertainty ranges, and reasonableness checks.
4
Deliverables & discussion
You receive concise written output that can sit alongside your workpapers. We review findings with you so you can decide what to surface to the client and how.
5
Your firm stays in control
You own the client communication, any cleanup or adjustments, and all advisory recommendations.
Fracfai does not approach your clients directly or market services around them.
Diagnostics and forecasts are support tools. They do not constitute audit, review, compilation, tax, legal, or investment advice.
About Fracfai
Fracfai (frak–fye)
is a financial data science and intelligence practice focused on uncovering structural risk, ambiguity, and opportunity within complex financial systems.
Built on more than twenty-five years of applied data science, machine learning, and quantitative modeling, Fracfai brings analytical depth to areas where traditional accounting reviews and standardized platforms begin to lose resolution.
Our work sits at the intersection of financial structure, signal detection, and disciplined reasoning, helping firms see what is actually happening inside the books, not just what the statements appear to say.
Fracfai’s methodologies, including the Portfolio Integrity Assessment,
Detailed Integrity Report, and Multi-Model Intelligence™ framework, are designed to provide clarity in scenarios characterized by uncertainty, irregularity, and incomplete information.
We do not replace the CPA, CFO, or Bookkeeper. Instead, we extend their visibility, offering a disciplined analytical layer that improves diagnosis, prioritization, and forward-looking decision quality.
Start a Conversation
If you’re a CPA or FCFO practice and want to explore diagnostics, forecasting, or both,
the next step is a straightforward conversation. No pressure, no automated funnel, just a review of where Fracfai can help and where it may not be necessary.
Early work is intentionally hands-on and limited in volume so the approach can be refined around real firm needs.
Notes on Use & Limitations
Fracfai’s diagnostics and forecasts are designed to support your work, not to replace it.
They are not a substitute for audit, review, compilation, tax, legal, or investment advice and cannot guarantee specific outcomes.
For more detail on privacy, client confidentiality, and how financial data is handled, see the Privacy & Compliance page.
