Build your AI plan from what you already have.
What your teams ask for, what you already have, what you decide, what is actually used.
The question
“We are asked for an AI plan for next year. Where do we start?” Teams ask for tools, management wants a plan and a budget, and nobody knows what the company already has: what it pays for, what sits idle, what is included in its licenses without being turned on. Your 2027 AI plan starts with what you already pay for.
What Ojja shows you
- What your teams ask for. The tool requests received through the employee portal, with their age, and the needs expressed, department by department.
- What you already have. First what you pay for, what sits idle, and what is included in your licenses without being turned on; for each request, the equivalent already paid for.
- What you decide. The AI lead, or your advisor, proposes; your decision-maker approves. Each decision carries the objective you set.
- Who is concerned, and what you do to support them. For each decision, the people concerned and the measures you take to help them use AI: a training, a guide, a session, your charter. You declare each measure, with its dated document. The framework the catalog links to the features concerned: Article 4 of the European regulation on artificial intelligence, on AI literacy, with the points to review with your counsel.
- What is really used. Usage read, by tool and by department. Where a measure is declared and where it is not: two facts side by side, no cause asserted. Usage is never reported for a group of fewer than ten people.
- With Ojja Watch Committee. The roadmap by department, the full list of people concerned and measures taken, with the documents, and the “AI plan” part of the COMEX page.
On the Arvenne example
Arvenne starts from what it has. Copilot Chat is on for its 412 accounts, not paid for separately; decision: adopt. Fourteen accounts use ChatGPT, connected by employees, with no decision. Notion AI is paid for 30 accounts, with no usage read; decision: reclaim. Arvenne's plan starts there: what is used, what sits idle, what the teams chose for themselves.
Arvenne, a fictional company · sample data
For AI advisors
Ojja gives you the facts: what they pay, what sits idle, what is already included in their licenses. You propose, they decide, Ojja tracks what is actually used.
What Ojja never does
- Ojja does not choose any tool for you, does not train anyone and does not deploy anything.
- Ojja attributes no effect to a tool: it puts side by side what is paid for, what is decided and what is used.
Ojja does not provide legal advice: it records and documents; how the law applies to your situation is for your counsel to determine.