Sam, Your AI Analyst , Answers Grounded in Real Client Numbers
Ask a question about any client’s financials in plain English and get an answer drawn from their actual, conformed data — not a generic model’s best guess.
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QuickBooks · Xero · NetSuite · Stripe · Salesforce · HubSpot
A CFO + engineer
CRMs and document handling
Ask. Trace. Decide.
What it does
You ask. It answers.
Sam is an AI financial analyst that works the way you'd want a sharp junior analyst to: you ask, in plain language, and it answers from the client's real numbers.
“Why did gross margin dip in March?”
“Which clients grew revenue this quarter?”
“What’s driving the payroll variance?”
Instead of you exporting, filtering, and eyeballing, Sam queries the conformed data directly and returns an answer you can trace back to the ledger.
20 min
The problem isn't analysis you can't do — you're a CFO; of course you can. It's the twenty-minute lookup, twelve times a day, across nine clients. Each one is trivial; the sum of them is why the strategic work keeps sliding to evenings.
Sam exists to take the sum off your plate while leaving every individual answer verifiable.
Grounded in your data is the phrase that matters.
How it works for a fractional CFO
Multi-client is where this compounds: the same plain-English question works across your whole roster, because underneath, every client’s data speaks the same language.
Generic AI
Answers finance questions from general training: fluent, plausible, and unattached to your client's actual books.
Sam's architecture
Answers are drawn from Alpyne's conformed structure — real accounts, real transactions, real periods
Key capabilities
The lookup work, shortened. Your judgment, intact.
Ask questions against client data
Natural-language queries against any connected client's conformed financials. No query language, no export step.
Automated variance analysis and commentary
Sam can surface period-over-period and budget-vs-actual variances and draft first-pass commentary on what moved. You edit the narrative; you don't start it from a blank page.
Financial storytelling, drafted for you
If Sam drafts narrative summaries for reporting packages, describe precisely that and no more.
Grounded — and traceable
Every answer traces to the underlying data [verify traceability/citation feature], so you can verify before a number ever reaches a client. An analyst you can audit is useful; one you have to take on faith isn't.
Built for the practitioner
The lookup comes off your plate. Control stays with you.
Sam exists because Alpyne’s founder — a CFO who writes his own integrations — wanted the lookup work off his plate without giving up control of the answer. That’s why grounding and checkability aren’t marketing language; they’re the spec.
One conformed foundation
Sam sits on the same conformed data layer as your forecasts and dashboards.
One practice context
Analysis lives inside the platform that runs your whole practice — one more reason Alpyne puts data conforming first.
Professional judgment remains yours
Sam surfaces and analyzes your numbers. It doesn't give financial, investment, or accounting advice.
That boundary isn't a legal disclaimer bolted on; it's the honest division of labor between a tool and a professional.
FAQs
What is an AI financial analyst?
An AI assistant that answers questions about financial data, surfaces variances, and drafts analysis — grounded, in Alpyne’s case, in your clients’ actual conformed numbers rather than a generic model’s training data.
Can AI do variance analysis for finance?
It can do the surfacing and the first draft: identifying what moved between periods or against budget and drafting commentary. The interpretation — why it matters and what to do — remains the CFO’s work, which is exactly how it should be.
Can AI answer questions about my financial data?
In Alpyne, yes: Sam queries each client’s connected, conformed data and answers in plain language, with answers you can trace back to the source. That’s different from pasting numbers into a general-purpose chatbot — the grounding is the point.
Is Sam ever wrong?
Any AI can err, and we won’t pretend otherwise. That’s why checkability is the core design: answers trace to the underlying data, and nothing goes to a client without your review. Treat Sam like a fast junior analyst — enormously useful, always verified.
Run a real close
Ask Sam your first question on real client data.
Fast lookup. Checkable answers. Your judgment stays in the chair.
