Automation and machine learning have always been central to Emburse’s products and services. Customers generated vast amounts of expense and travel data, providing visibility and deep insights. However, core parts of the traveler expense reimbursement process remained woefully manual, requiring time-consuming data entry. By integrating generative AI and large language models (LLMs), we provided every traveler with the personal and administrative assistant capabilities typically reserved for executives. This innovation streamlined the expense reimbursement process, enhancing efficiency and user experience.
Automation and machine learning have always been central to Emburse’s products and services. Customers generated vast amounts of expense and travel data, providing visibility and deep insights. However, core parts of the traveler expense reimbursement process remained woefully manual, requiring time-consuming data entry. By integrating generative AI and large language models (LLMs), we provided every traveler with the personal and administrative assistant capabilities typically reserved for executives. This innovation streamlined the expense reimbursement process, enhancing efficiency and user experience.
My Role
Design Strategy UX/UI Design Creative Direction Visual Design
Team
Product Strategy
My Role
Design Strategy UX/UI Design Creative Direction Visual Design
Team
Product Strategy
My Role
Design Strategy UX/UI Design Creative Direction Visual Design
Team
Product Strategy
The Opportunity
How might we integrate generative AI, deep intelligence and insights, to automate the manual traveler expense reimbursement process and provide executive-level assistance to all users?
The Opportunity
How might we integrate generative AI, deep intelligence and insights, to automate the manual traveler expense reimbursement process and provide executive-level assistance to all users?
The Opportunity
How might we integrate generative AI, deep intelligence and insights, to automate the manual traveler expense reimbursement process and provide executive-level assistance to all users?
The Approach
Conduct in-depth user research to categorize travelers, personal assistants, and finance staff into three distinct groups, each with unique needs and satisfaction levels.
Identify opportunities to leverage AI for enhancing the user experience, particularly for administrators, by providing better insights and tools for policy updates.
Develop customized knowledge base solutions to address the unique corporate policies of each customer, avoiding a one-size-fits-all approach.
Impact
Integrating generative AI into the expense reimbursement process shows promising initial feedback, offering personal and contextual experiences that not only reduce manual work but improves user satisfaction. The vision aims to increase product stickiness, adoption, and has set a clear direction for the company’s next three-years.
Impact
Integrating generative AI into the expense reimbursement process shows promising initial feedback, offering personal and contextual experiences that not only reduce manual work but improves user satisfaction. The vision aims to increase product stickiness, adoption, and has set a clear direction for the company’s next three-years.
Impact
Integrating generative AI into the expense reimbursement process shows promising initial feedback, offering personal and contextual experiences that not only reduce manual work but improves user satisfaction. The vision aims to increase product stickiness, adoption, and has set a clear direction for the company’s next three-years.
