Multi-turn Problem Solving Workflows with Deep Research
ServiceNow develops a platform for client organizations to manage and automate large-scale processes across various industries. In 2020, ServiceNow acquired Element AI to strengthen its presence in the Artificial Intelligence (AI) research landscape and the Canadian AI ecosystem. This acquisition enabled the development of AI-driven products that improve the platform’s capabilities. ServiceNow Research has made significant contributions to the field of foundation models, notably in Natural Language Processing (NLP), and has a strong presence in developing generative models for different data domains.
(2) the challenges the partner aims to solve through this project
Modern enterprises grapple with fragmented knowledge spread across emails, chats, and internal documents, making traditional knowledge systems insufficient. This project will develop multi-turn deep-research agents that autonomously identify information gaps, integrate unstructured data, and deliver concise, reliable reports tailored to enterprise needs. By addressing these challenges, the partner aims to create advanced AI agents capable of transforming scattered communications into actionable insights, streamlining investigative reasoning and enhancing decision-making across teams.
(3) the anticipated social or economic benefits of the project for the partner organization(s)
By enhancing the performance, interactivity, and trustworthiness of deep research agents, major productivity gains could be observed in the enterprise setting, where knowledge work remain a bottleneck and acquiring up-to-date information from knowledge-bases is a key challenge. To encourage further research in multi-turn deep research agents, we plan to open source the findings of this project.
Laks Lakshmanan;Muhammad Abdul-Mageed
ServiceNow Canada
Computer science
Professional, scientific and technical services
The University of British Columbia
Accelerate
