AI, coordinated
AI is only powerful when it can
AI is only powerful when it can
see the whole business
Buying a per-seat AI subscription for each member of staff gives everyone a clever assistant that knows nothing about your business, does its work outside your systems, and appears on expenses. Omniom puts one AI layer across every module, record and document you hold — and then hands you the controls.
Ask Omnio AI — in context
Split screenshot: the AI panel answering against a real record on one side, the AI Studio usage-by-person view on the other. Approx 1600×600.
The usual approach
A separate AI subscription per person
✕ Knows the internet, not your customers, your pricing or your process
✕ Charged per seat — the same whether someone uses it twice a week or fifty times a day
✕ Business data pasted into a tool you don't control, with no record of what went where
✕ The output lands in a chat window; someone still has to type it into the real system
✕ Discovered on expenses at month end, not managed
Inside Omniom
One AI layer, governed by the business
✓ Works from your own data, your own terminology and your own written business knowledge
✓ Metered on actual use, shared across everyone — no seats to buy or reclaim
✓ Runs inside your own instance, under the same permissions as every other feature
✓ Writes back to real records, tasks, quotes and emails — the work is finished, not drafted
✓ Visible per person and per module, with limits and alerts you set in advance
You decide what it knows
Business knowledge is layered — platform, your industry, your business, and the record in front of the user. You write and maintain the layers that are yours, and change them without waiting for anyone.
You decide what it can do
AI actions are defined objects bound to real capabilities — raise a quote, summarise an account, draft a follow-up. It builds with the platform's own tables, views and sections, so anything it makes can be opened and edited by hand.
You decide who gets what
Restrict models, actions and modules by role. The expensive reasoning models can be reserved for the people and jobs that justify them — which is also the single biggest lever on what AI costs you.
You see every penny
Usage is attributed by person, by module and by action, against limits and alerts you set. You watch a balance draw down rather than opening a surprise invoice — and you can see who is getting value from it.
The right model for the job
A routing layer sends each task to the cheapest model capable of doing it well, and swaps providers without you changing anything. You are never locked to one vendor's roadmap or one vendor's price list.
It stays in your instance
Prompts, answers and the context behind them are logged in your own database, subject to the same field-level permissions and audit trail as everything else. Nothing about how your business works leaks into a shared tool.
The result is compounding: the more of your business runs in one place, the more the AI can see — and the more of the repetitive work it can take off your team. See what runs on the platform →