A finance team reviews printed charts and reports together around a meeting table
AI X-Ray · Data ontology accelerator

The AI analyst for the CFO office.

AI X-Ray explains why results moved, every week, with every number verified before it is shown.

A data ontology accelerator built for retail teams, and applicable to many industries.

How it works

The business as a map, not a spreadsheet

  • Ontology and knowledge graph

    How the business makes its numbers, captured once with finance: results, drivers, and how they connect. Every figure traces to the inputs that made it, week after week.

  • Deterministic math, ten checks

    Every change is split across its drivers exactly, to the penny. No model guesses a number, and nothing is shown until it passes all 10 checks.

  • Then generative AI explains

    Only then does generative AI tell the story, in plain words, and answer questions. Ask it anything about the week; it answers from the verified numbers only.

  • The Monday briefing

    A fresh briefing every Monday morning: what helped, what hurt, and what to fix first, ranked by what the business can act on.

The numbers are arithmetic. The words are AI. They never swap roles.

An analyst works through printed reports and charts at her desk

Why it matters

A week in the CFO office today.

  1. MondayOperating margin is down.
  2. TuesdayFinance asks sales, operations and pricing for the breakdown.
  3. ThursdayThree teams, three spreadsheets, three answers.
  4. FridayThe explanation lands. The number has already moved again.

When a top-line number moves, finding out why is slow and fragmented, and it takes a small army.

  • Late
  • Opaque to the CFO
  • Dependent on other teams
  • Out of date on arrival
Benefits

One AI analyst. Three jobs, every Monday

  • 01

    Explain

    Why the number moved, in plain words, before the meeting.

  • 02

    Verify

    Every figure checked and cited before anyone sees it.

  • 03

    Recommend

    What to fix first, ranked by what the business can act on.

  • 04

    Same engine, two altitudes

    Executives get the story; analysts get the evidence. Same engine, same numbers.

  • 05

    Your data stays with you

    AI X-Ray runs in your own cloud environment.

Product flow

Same engine, same numbers, different altitude

Who is looking today? Choose Executive or Analyst, and switch any time from the header. These are the real product screens, shown with synthetic data.

Illustrative, synthetic data
Executive

The story: what moved, why, and what to do.

The whole business tree, at a glance.

  • One cited headline and the week at a glance
  • A bridge from last week to this week that adds up
  • What to do about it, problems first
Executive view: the weekly briefing for contribution margin with its verification status, and a waterfall of how it moved from last week to this week, one bar per driver
Illustrative, synthetic data
Executive view: what helped and what hurt, as headwinds and tailwinds, then what to do about it, with actions marked act now or watch
Illustrative, synthetic data
Analyst

The evidence: every driver, every check, every number.

The nodes of your function, in full detail.

  • Full decomposition tables and methods
  • Every gate with its detail
  • The driver map and the one input file
Analyst view: the weekly briefing in full, with the figures behind each sentence, and the top drivers ranked by impact
Illustrative, synthetic data
Analyst view: every headwind and tailwind, each tagged with the driver or mix it comes from
Illustrative, synthetic data
  1. 01

    Choose who is looking

    Executive for the whole business tree, or Analyst for the nodes of your function.

  2. 02

    Read the briefing

    The top number, explained in plain words, with its checks shown.

  3. 03

    See how it moved

    A bridge from last week to this week, one bar per driver, that adds up.

  4. 04

    What helped, what hurt

    Headwinds and tailwinds, then down the driver tree to the cause.

  5. 05

    What to do about it

    Recommended actions, problems first, ranked by what you can act on.

  6. 06

    Ask the assistant

    Ask a specific question in natural language and get an answer from the verified numbers, plus the next action.

How we engage

From discovery to weekly use

The road to production, in your own cloud environment. The AI Value Accelerator can surface AI X-Ray as the use case worth funding, Forward Deployed Strategists (FDS) and Forward Deployed Engineers (FDE) deploy it, and Scale extends it across the business.

See all four steps
You provide
  • Data access
  • Half a day with finance
  • A weekly data feed
  • One owner who signs off
CWX delivers
  • Data sourcing and integration
  • The analyst, tuned to your business
  • The checks
  • The weekly run
Runs in your own cloud environment, so your data stays with you.
  1. 01
    Step one

    Discovery

    The results you steer by, the data you have, and the questions leadership asks. Together they define the pilot.

  2. 02
    Step two

    Data integration

    Your weekly feed, from the systems you already run, into your own cloud environment.

  3. 03
    Step three

    Validation

    Your finance team signs off every check and every recommended action.

  4. 04
    Step four

    Production

    Live in your environment, with a new briefing every Monday.

  1. 01AI Value AcceleratorChoose where AI pays
  2. 02FDSProve the value
  3. 03FDEGo to production
  4. 04ScaleScale and feed back
Questions

Frequently asked questions

Something else on your mind? Ask us directly

  • No. The numbers are arithmetic. The words are AI. They never swap roles. Every change is split across its drivers exactly, to the penny, and reconciled to your books. Generative AI only explains, summarizes and answers questions about figures that have already passed all 10 checks.

Get started

Find out why the number moved.

Tell us the results you steer by and the questions your leadership asks. We will show you how AI X-Ray answers them.