# RF3 AI -- Enterprise AI This document describes Stage 04 of the RF3 AI readiness model: enterprise AI systems inside the company boundary. Governed, auditable, security-aware. Connected to operations, not sitting on top as a gadget. --- ## What Enterprise AI Means Here Enterprise AI is AI inside the company boundary: governed data access, controlled repositories, internal sandboxes, role-based permissions, and decision logic that can stand up to scrutiny. It is not casual usage of public AI tools. RF3 AI treats enterprise AI as a structural transformation, not a technology experiment. The question is not "should we use AI?" but "how does AI change the operating model, governance, risk profile, and value of the firm?" --- ## Common Starting Points - Management is asking for an AI strategy, but nobody in-house can design one. - AI pilots exist, but no architecture holds up under regulation. - The EU AI Act applies now. It is unclear which systems are affected. - Consultants deliver slide decks. What is needed is a governable implementation. --- ## Why RF3 AI / BlackAI - **Research-backed.** Every framework is based on peer-reviewed research. Not vendor documentation. - **Architecture, not implementation.** RF3 AI designs and coordinates. A curated partner network builds. - **EU AI Act from day one.** Compliance is built into the architecture. Not retrofitted when the regulator arrives. - **Valuation expertise.** AI impact is quantified in firm value terms, using the same frameworks as in investor due diligence. --- ## Three Phases -- Six Steps Every engagement follows the same structure: Audit, Build, Run. Each phase contains detailed steps. The audit alone gives a clear picture. Most companies start there. ### Phase 01 -- Audit (2-4 weeks) #### 01 -- AI Audit Understand where you stand. Map what AI can structurally change in the business and where the limits are. Processes, data assets, decision chains, and technology readiness. Outcomes: - Process and data landscape mapping - AI readiness assessment per business unit - Opportunity matrix: impact vs. feasibility - Risk and governance gap analysis ### Phase 02 -- Build (8-16 weeks) #### 02 -- Architecture Design Design how AI fits the firm. A system blueprint that fits the operating model, data governance, and regulatory requirements. EU AI Act compliance is integrated from the start. Outcomes: - Target AI architecture aligned to the business model - Data governance and access framework - EU AI Act risk classification and compliance mapping - Build-vs-buy recommendation per component #### 03 -- Implementation & Coordination RF3 AI plans it. The partner network builds it. Milestones, work packages, and execution, coordinated through a curated network of engineers and AI infrastructure specialists. Outcomes: - Phased implementation roadmap - Partner selection and coordination - Quality gates and milestone tracking - Ongoing alignment with management and steering committees #### 04 -- EU AI Act Compliance Built compliant. Not patched later. Risk classification, transparency obligations, human oversight, data governance, and conformity assessment. Integrated into every system designed. Outcomes: - Risk classification per AI system - Conformity assessment and documentation - Transparency and human oversight frameworks - Regulatory-ready audit trail ### Phase 03 -- Run (ongoing) #### 05 -- Revaluation Measure what AI changed. Once enterprise AI is operational, firm value changes. Margins, defensibility, scalability, and strategic optionality created by the AI layer are recalculated. Outcomes: - Updated company valuation post-AI integration - Impact quantification on margins and scalability - Defensibility and IP assessment - Management-ready valuation report #### 06 -- Ongoing Advisory Alignment with management and evolving regulatory requirements on a continuous basis. Monitoring, optimisation, and continuous model improvement as the business grows. --- ## Custom AI: Your Data. Your Model. In partnership with technology partner 01 Engineering, RF3 AI develops company-owned AI models. Trained on the client's data, aligned to their processes. - **Fine-Tuning** -- Foundation models trained on the client's domain language, processes, and decision logic. - **Source of Truth** -- The client's entire company knowledge, structured, versioned, and made accessible for AI. - **Custom Agents** -- AI agents that understand internal workflows and handle tasks autonomously. - **Full Data Control** -- All data stays in the client's infrastructure. GDPR-compliant. No vendor lock-in. - **Domain Knowledge** -- Models that know the client's industry, regulation, and customers. - **Continuous Learning** -- Feedback loops and re-training so the AI grows with the business. --- ## How to Engage Contact: hello@rf3.ai Typical starting point: "We want to understand what AI can do for our business." RF3 AI begins with the AI audit (phase 01) and scopes subsequent phases based on the findings. For companies ready to build their own AI: "We want a company-owned AI that knows our business." RF3 AI scopes the custom AI engagement in conjunction with 01 Engineering. --- ## BlackAI Network Built on strong foundations. All entities operate under BlackAI Holding AG (CHE-202.737.638), Zug, Switzerland. | # | Entity | Domain | Focus | |---|--------|--------|-------| | 01 | BlackAI Capital | https://blackai.capital | AI venture platform. 16 portfolio companies across research, fintech, energy, healthcare, and data infrastructure. | | 02 | BlackAI Consulting | https://consulting.blackai.capital | AI valuation, due diligence, enterprise AI integration, and capital readiness advisory. Grounded in peer-reviewed research. | | 03 | BlackAI Compliance | https://compliance.blackai.capital | AI-powered compliance review for financial services providers. Regulatory audits (MiFID II, WAG, WpHG, KAG, FIDLEG, DSG/DSGVO). | | 04 | RF3 AI | https://rf3.ai | AI-readiness services for companies. AI-optimized websites, AI chat integration, enterprise AI systems, finetuned models. | | 05 | 01 Engineering | (internal) | Software engineering and AI system development. Full-stack architecture for AI-native applications. Technical backbone of the BlackAI network. | Each platform provides its own AI agent index at /llms.txt for structured, machine-readable content. The enterprise AI advisory described above is delivered in close partnership with 01 Engineering for custom AI development. --- RF3 AI is a service brand of BlackAI Holding AG, Zug, Switzerland. All services are provided under Swiss law. The content on this website does not constitute legal, tax, or professional advice. Information is provided for informational purposes only.