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Ask your business anything. Get the real number.

Ozzi connects to your ERP and your documents, read-only. Everyone in the company asks in plain words and gets the answer with its source, and only what their role is allowed to see.

Works in Hebrew and English. Also inside Claude and ChatGPT.

Example

AI on company data usually fails in three ways.

It guesses the numbers

A chatbot over your ERP writes its own queries. Ask twice, get two answers, and nobody knows which one matches the books.

It shows too much

Once the data is in, salaries and margins are one clever question away from anyone with access.

Nobody owns the definitions

"Revenue" means one thing to finance and another to sales. The AI picks one, silently.

One agreed definition for every number.

Ozzi puts a governed layer between your data and the AI. The AI never writes queries of its own: it can only use metrics your managers approved, and only the ones your role may see.

  1. 1

    Your systems

    ERP, payroll, service, documents. Read through a read-only account.

    Nothing is ever written back
  2. 2

    A business map

    Tables become plain terms: deliveries, service calls, customers, with their dates.

    Set up with you once
  3. 3

    Approved metrics

    Each number has one definition, who may see it, and a check against your reports.

    Managers approve changes
  4. 4

    Answers

    Ask in the chat, by voice, or from Claude and ChatGPT. Every number shows where it came from.

    Each person sees their share

What people do with it, every day.

Ask in one chat

"Sales by salesperson last month", "who approves a 10% discount". Answers with the source, in Hebrew or English, typed or spoken.

See what's waiting for you

Approvals, questions the AI couldn't decide alone, and recommendations, in one list at the top of the page.

Get a morning check

Every morning Ozzi looks at the numbers, flags what moved, and suggests what to do about it.

Search the company's documents

Procedures, price lists, contracts and engineering drawings. Each one readable only by the roles it's meant for.

Keep the company's rules

Write your policies once ("a quote above ₪100,000 needs the CFO"). The AI follows them and cites them.

Build dashboards and small apps

Ask for a dashboard or an internal app in the chat. It runs on the same governed data, with the same permissions.

Built for data you can't afford to leak.

Payroll stays with payroll. A sales manager who asks about salaries isn't told "access denied". For them, that number doesn't exist.

Read-only

Ozzi reads your systems through a read-only account and never writes to them.

Role by role

Every metric and document has the roles that may see it. The AI answers inside those limits.

Your own space

Each company runs separately, with its own data. Nothing is shared between clients.

Every answer checked

Numbers in an answer must come from a metric. Each question and each tool call is logged.

Live in weeks, with your team.

You start on your real documents in the first step, while we connect your systems in the background.

  1. Step 1

    Set up with your representative

    We load your documents, create your people and roles, and agree on the metrics, policies and dashboards you run the business by.

    Weeks 1–3
  2. Step 2

    Connect your systems

    In parallel, we build secure, read-only connectors to your servers and check every number against your own reports.

    In parallel
  3. Step 3

    Autonomous, and learning

    Ozzi runs on its own. Corrections from the chat, daily checks and new metrics keep it getting better, with managers approving changes.

    Ongoing

See it on your own numbers.

A 30-minute demo on a company like yours, then a plan for your first three weeks.