Diag Data IA expert: the AI already in place, before new use cases.
Your diagnostic looks for new use cases. Before recommending them, you need to know what AI your client already has: what they pay, what sits idle, what was turned on with no decision. The free readout reads it in their tools.
An expert's questions
- What AI does my client already have, before I recommend a use case?
- What they want to buy, do they already pay for it?
- After the diagnostic, how do I stay by their side?
What Ojja gives you
- The starting assessment. The free readout, read-only, on what already runs: three counts, and an assessment in your name.
- Facts rather than statements. What is paid, turned on, used, and what was turned on with no decision. What you recommend starts from what exists: before buying, here is what you already pay for.
- A follow-up after the diagnostic. You remain your client’s AI advisor: Ojja Watch keeps the inventory up to date and prepares the month’s note.
- Your name on the deliverables. The assessment and the month’s note carry your name.
- No competition with you. Ojja does not do your job: no consulting, no integration, no training.
Your independence
- No vendor pays for what we publish about it.
- Ojja resells no software and builds nothing.
- What you recommend remains yours: Ojja makes no recommendation.
- The Diag Data IA is your engagement: Ojja does not step in and does not take its place.
On the Arvenne example
Before a diagnostic at Arvenne, the readout reads 14 AI features already in place. Copilot Chat is on for its 412 accounts, not paid for separately; 7 AI features were connected by employees, including ChatGPT on 14 accounts. The use cases you will propose start from there.
Arvenne, a fictional company · sample data
What Ojja never does
- Ojja does not replace your diagnostic.
- Ojja reads nothing without your client's administrator's approval.
- Ojja gives no figure per person.
- Ojja does not provide legal advice.