Use Cases

• Customer Experience Teams: Frame AI can be used by customer experience teams to measure the cost and business impact of every support case. It helps them identify tickets that consume more time or require more expensive contributors to resolve, allowing them to make data-driven headcount decisions and allocate resources effectively.
• Product Management: Frame AI's feature of revealing service cost by product area helps product managers build a better feedback loop with the product. It provides the real dollar cost of service for every product area, enabling leadership to make informed decisions around product priorities.
• Support Staffing Budgeting: Frame AI can be used to justify the staffing budget required to service product issues with support hours. By accurately measuring the cost of every customer interaction, it helps organizations allocate the necessary resources to provide efficient support.
• Project Prioritization: With Frame AI, organizations can prioritize projects based on their bottom-line impact. By understanding the cost of service for different product areas, decision-makers can make business cases more easily and focus on initiatives that bring the most value.
• Resource Allocation: Frame AI helps identify imbalances and potential fallout by analyzing the cost of service. This allows organizations to proactively allocate resources where they are most needed, ensuring a smooth customer experience and reducing the overall cost of service.