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Engineering-led AI delivery with a go-live focus.

We turn strategy into reality: delivering architectures, interactive prototypes, live integrations, and measurable results – from first use case to full operation.


Strategy to Impact

  • Potential assessment & use case prioritization

  • Business case development, KPI framework & ROI model

  • Operating model design, role definitions & skill mapping

  • Governance, data protection & implementation guardrails


Build & Integrate

  • Agentic AI applications, LLM operations, model evaluation & fine-tuning

  • Retrieval-Augmented Generation (RAG), knowledge graphs & semantic search

  • Conversational AI (voice & chat), customer journeys across phone, web & app

  • Seamless integration with CRM, ERP & enterprise data pipelines


Launch & Run

  • Pilots & A/B tests with real users and live data

  • Go-live execution, enablement & fully documented handover

  • Scaling with cost control & quality assurance


Exapmle: VoiceAI Customer Journeys

  • Self-service & advisory via phone, web & app

  • Appointment booking, order tracking, information search & commerce

  • Value delivered: 24/7 availability, lower support ticket volumes, higher conversion rates


Pricing- and Delivery-Model

    • Discovery Sprint (10–15 days) – fixed price with clearly defined deliverables

    • Proof of Concept (4–8 weeks) – measurable KPIs as the go/no-go foundation

    • Agile implementation – milestone-based, with budget ranges and success criteria



Within 10 days: a prioritized, go-live-ready AI roadmap – fixed price
PoC with real users, live data, and clearly defined KPIs
Open architecture, documented handover, and enablement designed to avoid vendor lock-in

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