Revolutionizing Client Services: How Kepler Leveraged Amazon Q Business for AI-Powered Efficiency
Amazon Web Services (aws)3 days ago
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Revolutionizing Client Services: How Kepler Leveraged Amazon Q Business for AI-Powered Efficiency

ARTICLES
ai
digitalmarketing
operationalefficiency
amazonq
datasecurity
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Summary:

  • Amazon Q Business transformed Kepler's operations, saving 2.7 hours per week per employee.

  • Integration with AWS infrastructure and no-code solutions democratized AI access across the organization.

  • Improved RFI response times by over 10 hours per response and enhanced client communications.

  • Maintained ISO 27001 certification standards while implementing advanced AI capabilities.

  • Plans to expand AI access to 500+ employees, respecting client preferences and updating contracts accordingly.

At Kepler, a global digital marketing agency, the integration of Amazon Q Business has marked a significant leap in operational efficiency and client service enhancement. This transformation underscores the agency's commitment to blending creative marketing strategies with data-driven precision, all while adhering to stringent security standards.

The Challenge: Innovation Meets Security

Kepler faced the dual challenge of incorporating AI capabilities into its operations without compromising on data security. The absence of features like chat history and file upload capabilities in their previous solution pushed teams towards generic alternatives, risking compliance with their ISO 27001 certification.

Why Amazon Q Business?

The choice was clear:

  • Seamless integration with existing AWS infrastructure.
  • No data usage for model training, aligning with Kepler's security requirements.
  • No-code solutions for everyday challenges, democratizing AI access.

Implementation Journey

Starting with a pilot group of 10, Kepler expanded to 100 users, with plans for full deployment to over 500 employees. The rebranding to Kip AI within their Kepler Intelligence Platform showcased a comprehensive integration of AI capabilities, leveraging Amazon S3, Google Drive, and Amazon Athena for a secure, efficient workflow.

Transformative Use Cases and Results

  • RFI response process saw a reduction of over 10 hours per response.
  • Client communications improved in clarity and consistency.
  • Operational efficiency gains averaged 2.7 hours per week per employee, with user satisfaction rates exceeding 87%.

Looking Ahead

Kepler plans to extend Amazon Q Business access to all employees, carefully navigating client preferences and updating contracts to reflect AI integration, ensuring a balance between innovation and client comfort.

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