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CASE STUDY

Transforming Business Efficiency with Apple Intelligence

The Challenge

A rapidly growing SaaS provider faced operational bottlenecks that hindered their ability to scale efficiently. Their biggest challenges included:

The company wanted to integrate AI-powered automation into their iOS-based ecosystem without overhauling their existing workflows.

  • Manual Data Processing Delays: Employees spent hours processing customer queries and internal reports, leading to inefficiencies and slower decision-making.
  • Fragmented Automation: The company had existing automation tools, but they lacked contextual intelligence and required manual intervention.
  • Limited Customer Interaction Capabilities: Their customer engagement platform lacked real-time intelligence, resulting in delayed responses and missed personalization opportunities.
  • Security & Compliance Concerns: As a business handling sensitive customer data, they needed a solution that ensured privacy without compromising AI-driven automation.

The Solution

Evangelist Apps leveraged Apple Intelligence to transform the company’s operational workflows by integrating on-device AI and privacy-centric automation. The key implementations included:

  • Siri-powered Workflow Automation: By integrating SiriKit and App Intents, we enabled voice-activated task execution. Employees could trigger workflows, generate reports, and retrieve customer data using natural language commands.
  • Genmoji & Smart Text Recognition: To improve internal communication and document processing, we implemented Genmoji and Live Text to automatically extract data from documents and emails, reducing manual input errors.
  • CoreML for Predictive Analytics: We embedded CoreML-powered AI models into their existing iOS app to analyze customer behavior and predict future trends, enabling proactive decision-making.
  • Business Chat & Live Summarization: By integrating Business Chat API and Live Audio Transcription, we enhanced customer interactions by enabling AI-generated real-time summaries of customer calls and chats, allowing for faster response times.
  • Private Cloud Processing with Apple Intelligence: Since data privacy was a priority, we leveraged on-device AI processing with Apple’s Private Cloud Compute, ensuring sensitive data never left their secure environment.

The Results

The implementation of Apple Intelligence-powered automation led to tangible improvements:

  • 40% reduction in manual processing time, increasing operational efficiency.
  • 25% faster customer response times, leading to higher engagement and satisfaction.
  • 80% automation of internal workflows, significantly reducing human intervention.
  • Enhanced security and compliance, with all AI-driven actions processed on-device or within Apple’s Private Cloud Compute framework.
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