onext Enterprise AI
Your company's AI intelligence,
shared across the whole organization.
onext Enterprise AI is the corporate environment where your AI learns to decide the way your company decides. Without tying you to a single model vendor. Without building the stack from scratch.
Enterprise AI is one of the two ways to build your company's AI intelligence.
Is your team of developers your priority right now? Start with AI-Accelerated Development.
Would you rather we guide you through the whole process? The Office of the AI Officer deploys it as part of a 12-18 month program.
Your teams already use AI on their own. Without consistency, without your context, without sharing what they learn.
Sales uses ChatGPT to draft proposals. Operations uses it to summarize documentation. Marketing for first drafts. HR to prepare onboardings. Finance to narrate variances. They do it well — but each one does it on their own, and with three structural problems that kill corporate ROI:
Zero consistency across users. Every person writes the prompt differently, so the same process yields different results depending on who runs it. What should be uniform in your company (criteria, tone, commercial policy, format) becomes scattered by person and by moment.
Zero corporate context. Out of common sense and for security, nobody uploads the company's sensitive documents to ChatGPT — and rightly so. But then the answers are generic: they don't know your catalog, your internal rules, your real prices, your special client terms, your exceptions that live in your directors' heads.
Zero integration across users and teams. What one colleague discovers works — a good prompt, a template, a sequence — doesn't accumulate for the rest. Everyone reinvents the wheel. The improvement that costs one person hours, another repeats from scratch the next day.
Result: shadow AI with no governance · no security · no scaled productivity · no measurable return. You pay for individual licenses and capitalize nothing as an organization.
The corporate environment where your AI learns to decide the way your company decides.
An environment to automate corporate processes —sales, marketing, operations, HR, finance— with agents that work on your company's context. Built for mid-market companies of 100 to 1,000 employees that need real governance without standing up an in-house ML team.
Shared corporate agents · a single source of truth per process
Replace individual ChatGPT use with agents that your whole organization uses in common. One "create proposal" agent for every salesperson · one "answer complaint" agent for all of customer service. Same agent, same criteria, same traceability.
A corporate AI context layer built with your team
The context engineering specific to your business: catalog, rules, templates, special terms, commercial policy. What your directors carry in their heads, encoded into the agent. With no leaks to public APIs.
Agent governance with a complete audit log
Every agent decision traceable and reviewable · inherited ACLs from your corporate directory · permissions by role and by process. Goodbye to shadow AI with no governance. Deployment on European infrastructure, with data residency in the EU: your documents and your decisions never leave Europe.
Integration with your directory + your document base
Active Directory, Okta or equivalent. Native connectors to M365, Drive, SAP, ServiceNow. Each assistant indexes its area's document base — from dozens to hundreds of documents, without you having to worry about quotas.
Creating a proposal for a new client: from 2-3 hours to 30 seconds.
The Enterprise AI agent knows your template, your pricing rules, your special terms, the CRM data, the approval restrictions by amount. It generates the draft in 30 seconds. Your team reviews and signs off.
Generation time goes from 2-3 hours to 30 seconds · zero consistency errors against internal policies · full traceability of the decision.
And the important part: the agent didn't learn your rules by observing — we build them together in 2-4 week working sessions. When the program ends, your team keeps the method and the accelerators — you don't depend on us to maintain it.
Microsoft Agent 365 learns what's already written in your corpus.
| Microsoft Agent 365 | onext Enterprise AI |
|---|---|
| Learns an aggregate of the M365 corpus (emails, docs, Teams) | ✓ Builds your own operational ontology with your team |
| A generic template that works for every client | ✓ Client-specific context engineering |
| Only orchestrates agents within the Microsoft perimeter | ✓ Orchestrates across M365 + SAP + Oracle + ServiceNow + any vertical of your own |
| Tied to the Copilot stack (Anthropic via Microsoft) | ✓ Native multi-model (Claude · GPT · Llama · Mistral · local) |
| Permanent subscription · you pay for as long as you want the service | ✓ Your team keeps the method and the accelerators |
The onext moat is protected by the competitor's business model: for Microsoft to offer client-specific context engineering as a product, it would have to stand up a delivery team per client. Microsoft doesn't scale services.
Three things change in the first quarter of real use
"Create proposal" example: 2-3 h → 30 s. Same agent, uniform criteria, draft ready for review.
Same agent, same criteria, same output for every user of the process.
Governed agents with a complete audit log and inherited ACLs. Nothing happens without traceability.
Corporate assistants, not empty capacity
We don't sell you blanks that then have to be filled in. We deploy an assistant that already exists on top of your company's context. Each one arrives trained to automate the processes of its area. We start with two, and the catalog grows toward the whole organization.
Available today
Marco
It writes with your brand guide and sees in Search Console and Analytics what works for you.
Licia
Your specialist in responding to public tenders, end to end.
In the works These aren't available yet. We'll let you know when they are.
From €250/month per assistant
Our entry point. The assistant with the easiest return to measure: the public tenders you don't get to submit today.
The price of the rest of the catalog as it opens up.
Per assistant and company, with unlimited users: whether your area director uses it or the forty people on their team, it costs the same. You start with the assistant that hurts most and add the rest when it makes sense.
On top of that there's an initial setup — connecting your directory, indexing your document base and fine-tuning your company's context. It's what makes the assistant know your business and not speak in generic terms.
Let's talk for 30 minutes: we'll see which assistants fit your operation and close the full figure for you before any commitment.
Why an operating model, not more licenses
70% of AI success in development teams isn't a technical problem — it's organizational. Five dimensions (human-agent lanes, operational metrics, quality-gate governance, dual training and sustaining) that no single tool solves on its own. We explain it in detail in AI adoption in development teams: the 70% gap.
onext Enterprise AI is the platform that operationalizes those five dimensions from day one.
Not ready for the program yet? Before investing in transformation, size the gap. Our interactive 16-question checklist gives you, in 5-7 minutes, a diagnosis of where your team stands today across the 5 organizational dimensions that separate productive teams from stuck teams. Free. No strings attached.
Take the free diagnosis
Is it a fit for your company?
Let's talk for 60 minutes.
A 60-minute discovery with your CTO or equivalent. We identify 1-2 corporate processes where Enterprise AI would have the greatest measurable impact. No commitment. You'll leave with a map of your own.
Still deciding whether to get started with AI? Read this first: Start now with AI or wait 6 months?
Want to understand how context engineering works first? Read: Context engineering vs Agent Marketplace 2026