The pressure is real. But the options are bad: pay $30 per user per month for a copilot that locks you into one vendor's models and one vendor's cloud, or spend 6 to 12 months building a custom pipeline your engineers don't have time for. Meanwhile, employees are pasting company data into browser-based chat tools with no governance, no audit trail, and no idea what left the building.
European-origin software trusted by enterprises in financial services, insurance, and the public sector. Deployed on-premises, in private clouds, and as SaaS across regulated industries.
Six steps, from connecting your repositories to scaling across use cases with no incremental engineering cost.
Link to your existing repositories: FlowerDocs, Alfresco, Nuxeo, SharePoint, S3, or custom sources. No migration required. AI works grounded in your actual documents, not generic internet data, so every response is traceable to a real source in your environment.
check_circleWorks with your ECM stack as-isConnect to OpenAI, Anthropic, Mistral, Gemini, Bedrock, or self-hosted models via Ollama. Swap providers in configuration, not in code. No per-seat licensing. Use a European model for sensitive content and a powerful external model for everything else, in the same workflow.
check_circleNo per-seat AI taxSurface AI capabilities where your users already work: copilots in business portals, search in case management, automated classification in intake workflows. Drop-in web components and a complete REST API mean integration takes weeks, not months, and your users never leave the applications they know.
check_circleWeeks to first users, not monthsDefine what AI can access, what operations it can perform, and when a human needs to validate the output. Every AI interaction is logged. Role-based access control and tenant isolation are built in. Swap a non-compliant model without rebuilding your application. Built for EU AI Act Article 14 requirements.
check_circleEU AI Act compliant from day oneFour capabilities in one governed surface: an AI copilot grounded in your documents, multi-model orchestration with sovereign routing, full compliance audit trails, and zero-migration connectors to your existing repositories. Click the tabs to explore each module.
Click each regulation to see what it means for your deployment.
Governance controls built for the EU AI Act's high-risk system requirements: human-in-the-loop validation, full audit trails, and model transparency at every step. High-risk obligations take effect August 2026.
Personal data stays in your environment, always. On-premises and private-cloud deployment with self-hosted LLMs via Ollama eliminates all third-party data processing risk.
Multi-model orchestration and on-premises deployment reduce ICT concentration risk for financial institutions, supporting operational resilience without single-provider dependency.
If your business applications use AI to classify, route, or make decisions involving people, you need human oversight, transparent logic, and an audit trail for every AI-assisted decision. Fines reach EUR 35M or 7% of global turnover.
61% of European CIOs plan to increase reliance on local AI providers (Gartner 2025). Until IT provides a governed, accessible tool inside existing applications, employees keep pasting data into uncontrolled browser tools.
The window to differentiate is now. Only 19% of organizations have AI in production. Those that ship governed AI this year don't just get better tools: they get a defensible lead over the 49% still planning.
Goal-based orchestration, RAG, SSE streaming, function calling, governance, audit
| What matters | Uxopian | Cloud AI copilot | Enterprise search | Custom build |
|---|---|---|---|---|
| Content integration | Deep ECM connectors, metadata-aware. Works with your repositories, not alongside them. | Generic storage connectors. Assembly required. | 100+ app connectors but standalone. Cannot embed into your apps. | Custom per project. 6-12 months to production. |
| Model choice | 8+ providers. Switch in config. Self-host via Ollama. No per-seat fee. | Primarily own ecosystem. Azure means OpenAI. Bedrock means AWS. | Single model or vendor-proprietary. | Any model, but integration is your responsibility. |
| Governance and compliance | Access control, audit logging, human-in-the-loop, EU AI Act-ready today. | Basic logging. Governance is platform-centric. | Limited. SaaS-only raises GDPR and sovereignty concerns. | Custom build required. $200K-$500K+ initial investment. |
| Runs on your infrastructure | On-prem, private cloud, or SaaS. Self-host models via Ollama. European-origin. | Vendor cloud required. Hybrid options still vendor-dependent. | Mostly SaaS-only. | Any infrastructure, but you build and maintain everything. |
| Cost model | Predictable licensing. No per-seat AI tax. No credit systems. | $30/user/month. No model choice. No on-prem option. | ~$50/user/month. $60K+ annual minimums. | $200K-$500K+ to build. Ongoing engineering maintenance. |
| Embeds into your apps | Web components, REST API with OpenAPI 3.1.0, SSE streaming. Drop-in copilot UIs. | SDK available but significant custom development needed. | Standalone products. Not designed to embed. | Maximum flexibility, but months of engineering per integration. |
The obvious choice is to add your cloud vendor's copilot, at $30 per user per month. That means their models, their cloud, their rules. You can't swap providers, run it on your own infrastructure, or choose a European model for sensitive content.
Your architects scoped a custom pipeline: RAG, vector databases, prompt engineering, a governance layer. The estimate came back at 6 to 12 months and $200K to $500K before a single user reaches production. The board wanted results this quarter.
While IT debates architecture, employees have already found their solution. They copy contract clauses, customer data, and internal memos into browser-based chat tools. No access controls. No audit trail. No way to know what data left the building.
49% of organizations are considering AI for content management but haven't started. Only 19% have anything in production. The gap isn't ambition, it's a lack of a governed path from idea to deployment that doesn't take a year or lock you in.