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In 2026, AI has moved from being experimental to being a company’s determinant of their
success by how they prioritize and control their business models according to AI. AI has
become deeply embedded in corporate operations, driving productivity, efficiency and
innovation.

AI is used for automation and analytics, and since that is the cornerstone of our business,
we at Appconverge are teaming up with SAP to address challenges companies encounter
such as High initial costs, Complexity and lack of knowledge, Security and privacy
issues
and Job displacement and realize the benefits like Process automation, Improved
decision-making
, Personalization and customer experience and Efficiency and cost
reduction
.

To successfully adopt SAP Business AI, companies need to focus on preparing their data,
upgrading their technical infrastructure to cloud-based solutions, and retraining their
workforce to work alongside AI agents like Joule
. SAP’s approach embeds AI directly into
applications (e.g., S/4HANA, SuccessFactors) based on principles of being relevant, reliable,
and responsible.

Here is a breakdown of what companies need to do:

  1. Implement SAP BTP:

    1. SAP BTP is essential as the central foundation, providing AI services, integration
      tools, and access to the Generative AI hub.

    Prepare Data and Infrastructure

    1. Clean and Organize Data: AI requires high-quality, structured data to work
      effectively. Companies must audit, clean, and govern their data, often using SAP
      Master Data Governance (MDG)
      to ensure consistency.

    Move to the Cloud: While some AI features can work on on-premise platforms, maximum
    capability is achieved through SAP S/4HANA Cloud and SAP Business
    Technology Platform Technology Platform (BTP)
    .

  2. Define AI Strategy and Use Cases

    • Identify High-Impact Scenarios: Focus on areas that offer immediate ROI, such as
      automating invoice processing, improving demand forecasting, or enhancing HR
      onboarding.
    • Set Clear Goals (SMART): Define specific, measurable objectives, such as reducing
      invoice processing time by 40% or increasing employee engagement by 20%.
    • Establish Governance: Develop ethical guidelines for AI use, ensuring data privacy
      and human-in-the-loop oversight to avoid bias.
  3. Implement and Configure SAP AI Solutions

    • Activate Joule Copilot: Deploy Joule, SAP's Generative AI assistant, to act as a
      role-based teammate in tasks.
    • Utilize SAP AI Core: Use SAP AI Core and AI Launchpad to manage, deploy, and
      monitor custom machine learning models.
    • Leverage Pre-built Services: Activate specialized AI Business Services for
      document information extraction, service ticket classification, and data matching.
  4. Enable the Workforce and Culture

    • agents.
    • Cultivate an Innovative Culture: Encourage teams to explore AI use cases and
      adopt new, AI-driven workflows.
    • Adapt Roles: Redesign jobs to move away from manual data entry toward
      supervising AI outputs and focusing on strategic, high-value tasks.

    Upskill Employees: Train staff in AI literacy, prompt engineering, and managing AI

  5. Manage Costs and Continuous Improvement

    • Understand Consumption-Based Pricing: Utilize SAP AI Units for premium,
      consumption-based AI services, allowing flexibility based on usage.
    • Monitor Performance: Continuously audit AI performance, retraining models to
      ensure accuracy and relevance over time.
    • By following these steps, companies can turn data-driven insights into actionable
      business outcomes, such as accelerating invoice processing by 90% or reducing
      supply chain disruptions.

Appconverge is always committed to driving inclusion, innovation, and impact in the
technology and implementation space, we believe AI is more than an emerging technology
— it is an opportunity to transform the way organizations collaborate, manage information,
and make data-driven decisions.

Media Contact
Tsepo Qhala
Head of Marketing
tsepo@appconverge.com
011 568 3043

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Headquartered in South Africa, AppConverge is an emerging leader in data technology and construction solutions, with a footprint across Africa and the Middle East.

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Headquartered in South Africa, AppConverge is an emerging leader in data technology solutions, with a footprint across Africa and the Middle East.

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