ENTERPRISE AI ADOPTION

Four questions stop most AI rollouts. None of them are about the model.

Data privacy and security is the barrier enterprises name first, at 71%, ahead of accuracy and ahead of cost (Deloitte, 2026). ARPIA was built to answer these four before they become the reason nothing ships.

SOC 2, audited by A-LIGN ISO 42001 certified, audited by A-LIGN

ARPIA holds SOC 2 Type II and ISO 42001, the international management standard written for AI systems, both audited by A-LIGN. The reports are available on request.

Talk to us about your rollout
WHAT GETS ASKED

The four, and what answers them.

01

Your data and your IP stay yours, including from the models

"Does what we put in end up training somebody's model, and can our IP leak through the provider?"

Zero retention has become a gating term in enterprise AI contracts, ahead of price, and here it is answered on three levels. ARPIA runs its own infrastructure and its own GPUs, isolated from the model providers, and each workarea holds its own Cerebro, apart from every other tenant. ARPIA’s contracts with the model providers are zero data retention, so what you send is not kept and not reused on their side, and your data does not train models. That is where sovereignty starts. Where the standard is higher than that, the whole platform deploys on-premise on ARPIA infrastructure inside your datacenter, and the data never leaves your walls.

02

Budget and security profiles that let you scale to the whole company

"How do I give this to five hundred people without losing control of the spend or of who can reach what?"

73% of organizations spent more on AI than they had planned, some by 2.4 times (FinOps Foundation, 2026). Here the spend is prepaid and enforced: global and per-model ceilings warn before the limit and refuse the call at it, and every turn is costed against a published rate. Access is a profile, not a setting: what each role may reach, which model it runs on and which actions need approval are decisions somebody made and can revoke.

03

It works on the systems you already run

"Will it understand our business, or is it another chat window next to the ERP?"

Half of technical leaders name integration with legacy systems as a blocker (CodeNinety survey of 142 CTOs, 2026). ARPIA reads a governed reflection of your ERP, CRM, POS, data platforms and documents through your own ontology, with lineage on every figure. It never writes to the live systems, and governed actions are the only way anything goes back.

04

The best model for each job, including your own

"Are we locking ourselves to one vendor the year the leader changes again?"

Model leadership has changed hands twice in two years. Anthropic, OpenAI, Gemini, open models and your own models on your own GPUs connect through one governed connection. You choose which model runs which work, by role and by profile, and changing it does not change the work.

Everything above is infrastructure: the ontology, the budgets, the security profiles, the model routing, the isolation and the audit trail. ORIA is the interface over all of it. Your people open a session and ask, and the governance is already applied, so nobody has to learn where any of it lives. That is the whole design: the hard part is built once, underneath, and what reaches the organization is a place to work.

START THE CONVERSATION

Tell us what you run. We will tell you what it takes.

Two things decide the shape of a rollout: how many people it reaches and which systems it has to read. Answer those and the first call starts at the real question instead of the introduction.

  • A governed pilot runs on your own systems, not on a sandbox.
  • First use case in 30 to 90 days.
  • For company-wide rollouts, Oria Unlimited puts every user under one platform commitment with AI billed through the wallet.

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