Fractional CFO & Strategy
Senior finance leadership in your business, week to week. Cash, margins, and board-ready numbers you can act on.
For mid-market, owner-led companies
Finance, strategy and analytics. Run for you on one cloud platform.
A system, not a deck. Owned by your team, accountable to a partner.
Your numbers live in an ERP, vendor statements, a dozen spreadsheets, and your last consultant's final deck. We bring them into one working environment, in whatever shape they exist, and put trained AI agents to work on them. A senior partner signs off on every call.
Now in the field: fractional CFO and analytics engagements with consumer brands.
How it works
Your numbers are scattered. Your decisions shouldn't be.
Every mid-market company we meet has the same setup: plenty of numbers, no single place where they work together.
01 · Scattered
Your numbers already exist. They live in an ERP, an accounting file, distributor and vendor statements, a dozen spreadsheets, shared folders, and your last consultant's final deck. Every question starts with chasing them down again.
The data exists. Nobody is turning it into value.
02 · Connected
We bring them into one gated working environment, in whatever shape they arrive: exports, statements, PDFs, spreadsheets. We don't sell integration projects, and there is no new software for your team to learn. We reconcile everything against your books, to the cent, so every answer traces to one agreed source.
03 · Working
Then our AI agents go to work on it. Dashboards that refresh from your actuals. Models you can rerun. Forecasts, pricing and cash answers in days, not quarters. We train our agents on our methods, never on your data. A senior partner signs off on everything before it reaches you.
That is the platform: finance, strategy and analytics working from one connected picture of your business, so you always know what it's worth, what moves it, and what to do next.
Each client's environment is separate: scoped access for your team only, encrypted in transit and at rest.
Why AbzuWise
Most companies can't see what moves their value.
We make that visible, and put AI to work on it. Four things, combined.
One ecosystem, not silos
Strategy, finance, and analytics working as one connected system your team owns. Capability, not dependency.
Our own AI engine
We build the evidence ourselves: models, research, analysis. Others rent data and offer opinions.
Senior accountability
AI speed, human judgment. A partner signs off on every model and recommendation.
Aligned to your outcome
We can take equity alongside the fee. When it fits, we win when you win.
One ecosystem
How it sticks: VOS, the operating system your team keeps.
Strategy sets the direction. Finance funds it. Analytics proves it. Delivered fractionally, run on one engine.
A consulting project ends. An ecosystem stays and compounds, owned by your team.
The ecosystem moves the four cornerstones of value: ROIC · profitable growth · margin expansion · capital efficiency.
Services
Three fractional services. One ecosystem.
Senior capability without the full-time hire, all running on one engine and one view of your value.
Revenue Growth Management
Pricing, mix, and promotion decisions made on evidence. The discipline global consumer brands use, sized for yours.
Advanced Analytics
The models and dashboards a data team would build, without hiring one. Live on your numbers, not rebuilt every quarter.
Valuation
What your company is worth and what moves it. Fixed-scope valuations, M&A models, and long-range plans, decision-ready.
The Engine
We build the systems our advice runs on.
This is how the ecosystem runs: an agentic-AI engine in production, building the evidence behind every engagement.
Evidence we build
Models, valuations, and forecasts built on real, cited sources, including public-company filings.
Research before modeling
Agents research your market first. Assumptions enter the model with their evidence attached, never as defaults.
Human approval gates
Nothing leaves the engine on its own. A senior partner reviews every model first.
Analyst-weeks in days
Research, data, and scenario modeling compress from weeks into days. The saved time goes into judgment.
Agent development & deployment
We build the agents. We run them on open-source runtimes, and we can build on the managed agent platforms of the major clouds when a client's environment calls for it.
Built by AbzuWise
Our agent fleet, and the gates it answers to
The agents, the instructions that make them ours, and the human approval every output passes before it reaches you. That is what we build. Below is what we run it on.
What we run on third-party software, not built by us
Open source
OpenClaw
Open-source agent runtime (MIT). We deploy, monitor, and govern our fleet on it.
Anthropic
Claude
Anthropic's Claude model. The agents, instructions, and approval gates that run on it are ours.
What we can build on if a client's cloud calls for it
Google Cloud
Vertex AI
Agent platform for engagements on Google Cloud.
AWS
Amazon Bedrock
Agent platform for engagements on AWS.
Azure
Azure AI Foundry
Agent platform for Microsoft-first engagements.
Our estate runs on Google Cloud; we deploy to AWS or Azure when your stack lives there.
Micro SaaS
The system arrives as working software.
Micro SaaS is what makes the ecosystem stick: each engagement ships small, purpose-built tools that run in your business, instead of a report about them.
A private client portal
Your numbers, models, and working documents in one gated workspace, live early in the engagement.
Dashboards on your real data
Cash, runway, and revenue management: the views a board asks for, refreshed from your actuals instead of rebuilt every quarter.
Models you can rerun
Valuations, plans, and scenarios delivered as living tools. Change an assumption and see the result, without asking for a new deck.
Small on purpose
Each tool does one job well, ships fast, and stays simple enough for your team to own after we step back.
A proving ground
Each tool is gated, encrypted, and built on managed cloud services that scale. That makes it a low-risk way to test AI-native ways of working before you commit the whole company.
Companies
An AI-native company
Prove what an AI-native operating model looks like on one real workflow before you build around it.
Departments
One function first
Give a single department, finance is the natural start, AI-native tools without touching the rest of the stack.
Processes
A full analytic process
Run an entire analysis, from data to decision, as software you can inspect, question, and rerun.
How We Work
One loop, run at every level.
Diagnose, design, install, compound. It keeps compounding, because the ecosystem stays.
DiagnoseFour cornerstones
DesignOpportunity portfolio
InstallTools your team owns
CompoundQuarterly cadence ↻
Proof
Early, and already in the field.
A young firm, and we say so plainly. The work is real, and it's in the field today.
The practice today
Fractional CFO and analytics engagements with consumer brands. Two standards hold on every one:
- Vendor and distributor statements reconciled against the books, to the cent
- Valuation databases anchored to public-company SEC filings
We're not bankers. We're builders.
The operator behind it
Founded by an operator with a career creating value inside global spirits brands, across finance, strategy, valuation, and brand growth.
That experience is why we build the system we wished we'd had, rather than selling advice from the outside.
We don't publish client names, logos, or testimonials we haven't earned the right to share. When clients are ready to be named, they will appear here, and not before.
Trust & Security
Built for confidential work.
AI changes how fast we work, not how carefully we handle what you share with us.
Confidential by default
Engagements begin under NDA. We are comfortable signing yours before the first substantive conversation.
Your data trains nothing
Client data is never used to train models. It informs your engagement and nothing else. We train our agents on our methods, never on your data.
Private by design
All engagement work, models, data, and documents lives in private repositories with access limited to your team.
Begin the Conversation
Find out what your business is really worth, and what moves it.
Engagements start with a working baseline month: real output on your real numbers. A partner reads every message, and the conversation stays confidential from the first line.