[RECORDING] July 2025 Customer Conversation - AI in Action: How OpenSesame is Embracing Responsible Innovation in the Workplace

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daniel.byun

• August 29, 2025 16:50
• Edited

In this month's Customer Conversation, Louis Knupp, Manager of AI and Data Ops, from OpenSesame explores how the organization is integrating artificial intelligence (AI) to streamline internal operations and support customers more effectively. The conversation explores OpenSesame's internal journey with AI, practical strategies for implementation, and tools for organizations to upskill their workforce responsibly and efficiently.

Link to download presentation (available until July 25, 2026) –
https://opensesame.fromsmash.com/July-2025-Customer-Conversation
Password: convo

Additional Resources:
We Have to Talk About AI: https://view-su2.highspot.com/viewer/c075f9baf89072459eb565a2aef4f6d6

AI for Everyone: https://opensesameinc.highspot.com/items/685d4819a4c334a6d15827ce#1 

AI for Software Engineers: https://opensesameinc.highspot.com/items/685d4832eabcc81c0a7bf879#1

AI for Specific Roles/Functions: https://opensesameinc.highspot.com/items/685d4828bbd0d370b658a574#1 

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• Official comment

  

  daniel.byun

  • July 25, 2025 18:24
  • Edited

  🔑 Key Takeaways:

  1. OpenSesame's AI Philosophy: People First, Tool Second

  • AI is viewed not as a replacement for human talent, but as an enabler of greater efficiency and job satisfaction.

  • The focus is on reducing low-value, manual tasks to free up employees for more impactful work.

  2. Building Internal AI Strategy

  • A company-wide survey identified 140,000+ annual hours spent on manual tasks, equating to over $12M in potential efficiency gains.

  • AI was used selectively based on ROI, feasibility, and value—emphasizing smart prioritization rather than AI for AI’s sake.

  3. Dedicated AI Team & Champion Program

  • Small but effective team: 1 AI engineer, 2 data engineers, and a manager (Louis).

  • Champions from each department helped scale AI initiatives and provided feedback, acting as bridges between technical and business teams.

  4. Tactical Implementation & Project Examples

  • Automation of compliance questionnaire responses saved ~10 hours per week.

  • Developed reusable tools using RAG (Retrieval Augmented Generation) and no-code platforms like Make.

  • Prioritized "reusable blocks" over one-off solutions to improve scalability and efficiency.

  5. Data Governance as a Foundation

  • Clean, structured, and governed data is critical for AI to produce reliable outcomes.

  • OpenSesame launched a parallel data governance program to ensure AI reliability and trust.

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