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AI Control & Readiness
Every organization has AI. Only few have control.
The challenge nowHow to find AI for core processes without the risks?
Unlike generic AI solutions, Digitalist AI Hub is built for business leaders who demand efficiency, security, and long-term scalability.
We’ve developed a private, enterprise-grade AI ecosystem that allows companies to take full advantage of cutting-edge AI models like OpenAI, Google Gemini, LLama, and Mistral, while keeping their data and decision-making power in-house. Our AI solutions are particularly valuable in highly regulated industries, such as finance, public sector, and healthcare, where security and compliance are non-negotiable.
Instead of experimenting with scattered AI tools, let’s build a structured, long-term AI strategy that delivers measurable business impact.
Real life use cases for the Digitalist AI HubCosts, compliance, and integrations all under control.
Why choose the Digitalist AI Hub?Enterprise-grade AI that is secure, scalable, and cost-effective
Public AI tools often store sensitive business data in third-party environments, creating significant security risks. Many solutions also come with rigid per-user pricing models, leading to skyrocketing costs as teams scale AI usage. Additionally, AI compliance is becoming more complex, with regulations like GDPR, DORA, and the EU AI Act demanding stricter control over data processing.
With Digitalist AI Hub you maintain full control over your data and AI workflows within Europe, built on open technologies. Your data stays where it belongs, securely in your environment, while costs scale transparently with actual usage.
All delivered through an interface your users already recognize, similar to ChatGPT.
This is nothing short of awesome. We rarely see something like this. You’ve managed to create a common language so all stakeholders can understand the desired end result in a similar way.
Our 3-step AI Control & Readiness ModelBuilt for enterprises and public sector organizations.
AI adoption doesn’t have to be overwhelming. Our proven process is a structured AI-readinessjourney designed to help companies deploy AI with minimal risk and maximum business value.
Step 1: AI Readiness Assessment
We work closely with your leadership team to identify the most valuable AI opportunities for your business. We also ensure regulatory compliance and security alignment from day one, so your AI implementation meets all industry standards.
Understand where you are and where AI creates real value.
What we do:
• Leadership kickoff and scope alignment
• Key process and workflow mapping workshops
• Current AI and automation usage visibility
• Pain points and repetitive work identified
• AI opportunities prioritized by impact and feasibility
You get: Current-state view + prioritized AI opportunity map.
Step 2: Technical AI Readiness Audit
Using real business data, we map out existing workflows and design AI-powered processes that drive efficiency. Instead of vague AI experiments, we focus on tangible, measurable improvements in areas like automation, decision support, and data analysis.
Validate whether your current tech setup supports safe AI use.
What we do:
• Core systems and integration landscape review
• Architecture and data flow AI readiness check
• Security and access control risk scan
• Dependency and constraint identification
• Practical readiness verdict and gap list
You get: Technical AI readiness snapshot + risk & constraint summary.
Step 3: Secure AI Hub Roadmap
Once the AI models and workflows are defined, we seamlessly integrate AI into your existing IT environment, ensuring smooth adoption. Our training and onboarding process ensures that your teams can start leveraging AI immediately, without complex setups or additional technical expertise.
Define how AI is governed and implemented safely.
What we do:
• AI governance and ownership model definition
• Guardrails for controlled AI usage
• Secure AI Hub architecture concept outline
• Top AI use cases turned into solution sketches
• 90-day implementation roadmap with owners
You get: AI control model + concrete implementation roadmap.
Oh... FAQ!We hear this a lot
1. How does Digitalist AI Hub ensure data security and compliance?
We operate in a private, ISO-certified AI environment, ensuring 100% GDPR compliance and full control over your data. Unlike public AI tools, your information never leaves your secure instance, eliminating third-party risks and ensuring compliance with regulations like DORA, CRA, and the EU AI Act.
2. What industries benefit most from a private AI solution?
Our AI Hub is especially designed for businesses in regulated industries, including finance, banking, government, healthcare, and manufacturing. Organizations that need high-security AI solutions or handle sensitive business data benefit from our on-premise and private cloud AI deployment.
3. How does your pricing model differ from traditional AI services?
Unlike AI platforms that charge per user, our usage-based AI pricing model ensures you only pay for the actual AI processing power you use. This helps companies reduce AI adoption costs by up to 30%, making it a cost-effective AI solution for large teams.
4. What AI models can be used within the Digitalist AI Hub?
Our platform supports a wide range of LLM (Large Language Model) AI solutions, including OpenAI (GPT-4), Google Gemini, Anthropic Claude, LLama, and Mistral. You can choose from private, open-source, or proprietary AI models, depending on your business needs and security requirements.
5. How quickly can we integrate AI into our business?
Our AI Hub Engagement program is designed for fast AI implementation, with deployment in just four weeks. We take care of AI strategy, process mapping, integration, and onboarding, ensuring your team can start leveraging AI without complex technical setup.
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