Artificial intelligence is not an end in itself – but a business case.

For companies, the question is not whether they should use AI, but how it can create real added value. This is exactly where the SYBIT approach “SAIBIT” comes in: We always think of AI in terms of economic benefit—real gains in efficiency, improved customer experience, and scalable solutions that pay off.

The SAIBIT Approach: Achieving Successful AI Integration in Three Steps

Level 1: The 5 Facets of a Meaningful AI Initiative

The 5 Facets of a Meaningful AI Initiative

  • Before an AI initiative, we clarify five central dimensions with you that determine success or failure:
     

    • Processes & Use Cases:


      The objective is to identify those use cases that generate significant, quantifiable, and sustainable added value through the use of AI.
       

    • Technology & Architecture:


      Based on the validated use cases, a flexible and future-proof AI architecture is designed.
       

    • Governance & Evolution:


      SYBIT supports the establishment of clearly defined governance structures, including roles, responsibilities, and guidelines for data management, model monitoring, as well as ethical guardrails.
       

    • Cost-Benefit & Sustainability:


      It is ensured that the use of AI not only brings about operational improvements but also generates a positive Return on Investment (ROI) and thus clear economic added value.
       

    • Compliance & Legal:


      Ensuring conformity with all relevant legal requirements (e.g., GDPR, EU AI Act) as well as adherence to ethical standards (such as fairness, transparency, traceability) is an integral part of the approach.

     

    This preparatory work prevents hasty decisions – and ensures real business impact.

AI Architecture

Level 2: Standard AI or Custom AI?

SAP offers a strong portfolio of ready-to-use AI features such as SAP Business AI, Joule, or the CX AI Toolkit. For many use cases, this is the fastest way to visible success.

However, not every use case fits the standard model. That's why we develop custom AI solutions on the SAP BTP as needed, supported by our own SYBIT AI Layer architecture. This ensures you remain flexible, scalable, and future-proof.

Our goal: AI solutions that pay off – fast, sustainable, and secure.

Stage 3: Get there fast with SAIBIT Phase 0

With SAIBIT Phase 0, a methodology specifically developed for AI integration, we establish the foundations for a successful AI implementation. Key components include:

  • Analysis of organization, data, architecture, and economic viability
  • Clear use cases and business cases
  • Technical roadmap & project plan
  • Governance and rollout recommendations

SAIBIT Phase 0 is our methodological backbone – for a rapid project start, sound decisions, and targeted implementation.

Use-Cases für AI in CX mit SYBIT

Practical Examples: How AI Works in CX

  • Sales: Lead Summaries, Predictive Scoring, Opportunity Insights, Generative Emails.
     
  • Service: Automated Classification, GenAI Case Summaries, Sentiment Analysis, Translations.
     
  • Customer Portal: Real-time Chat Translation, Call-to-Action Support, Sentiment Analysis, Knowledge Management.
     
  • Webshop: Chatbots, Find-my-part (Image Recognition), AI-powered Service Portals & Communication, Personalized Customer Interactions on Webshops, Dynamic Pricing.
     

  • Custom Solution: SYBIT Translaite: Context-based Real-time Translations, Call-to-Actions, Chat Summaries, Sentiment Tracking – directly in the CRM, available in 24 languages.

AI-supported communication in service
AI-supported communication in service
Alexander Tröger

Start your AI journey with clarity and substance

With SAIBIT, you choose an approach that creates clarity, evaluates opportunities, and leads projects to success – economically, securely, scalably.

Mail: sales@sybit.de
Tel.: +49 7732 9508-2000

 

Alexander Tröger, Business Development
Kontakt