Laser AI provides organizations with an easy and efficient way to define user roles for their members. With the continuous development of AI-powered tools, it's crucial for research managers to adapt their workflows to take advantage of new technological enhancements. By defining roles on an organizational level, managers can ensure that their team members are utilizing their full potential and that the work process is fully optimized.

With this feature, Laser AI helps to streamline workflows and make the work of research teams much easier, allowing them to focus on what matters most.

Developing a workflow-centric role system

When introducing a new tool into your organization, it's crucial to ensure it aligns well with your current workflow and structure. During the development of Laser AI, we encountered various processes in different organizations, each with their unique size and specialists playing different roles. We became aware how important it is to provide flexibility for the organization owners to cover miscellaneous use cases during the research projects.

User roles play a pivotal role in determining who can access your organization assets and to what extent. It's essential to maintain control over who views, edits and processes the data. Additionally, on a project level, user roles help determine who's responsible for assigned tasks, reviewing them, and developing strategies to resolve conflicts.

Technological advancements are bringing new possibilities to how information is processed by teams, making it crucial to define and manage proper data streamlines. Assigning the right user roles helps ensure streamlined workflows, making the processing of information efficient and effective.

Organization account types

At the organizational level, we have identified two primary account types: the organization administrator and organization member. The former is responsible for managing all users and organization assets, ensuring that working conditions are optimal, assets are maintained, and users' data is managed appropriately. As the overarching authority, administrators maintain a general overview of the organization's activities. In contrast, organization members are typically researchers who aim to focus on their core tasks and perform their work with utmost efficiency.

To support these two roles, we have identified two additional subtypes: the library manager and data manager. The Library Manager serves as a dedicated role that assists administrators in retrieving PDFs for the organization, while the data manager takes control of the controlled vocabularies and templates used within the organization. With these subtypes, we ensure that the administrator can focus on the overarching management of the organization while the library manager and data manager support the specific needs of the organization.

Project user roles

Elastic user roles are truly powerful when it comes to project management. We have identified the main five roles that are integral to a project's success:

• project manager
• senior researcher
• researcher
• librarian
• viewer

Regardless of whether you have an administrator or member account type, you are eligible to undertake different roles in particular projects. Moreover, you may have different roles in different projects. For example, you may be a viewer in one project and a researcher in another. To ensure that the roles are defined correctly, every organization administrator has access to an interface that allows defining the set of attributes for each project role in the organization. This flexibility enables organizations to tailor roles to specific projects, ensuring that every team member has the necessary access and control to execute their tasks effectively.

Laser AI provides a valuable solution for organizations seeking to streamline their workflows and optimize their literature review processes. With the flexibility to tailor roles to specific projects, organizations can ensure that every team member has the necessary access and control to execute their tasks effectively. As technological advancements continue to bring new possibilities to how information is processed by teams, Laser AI elastic user roles help organizations stay ahead of the curve and achieve their research goals with ease.

If you want to know more, join our webinar: What's new in Laser AI - Spring Release.
We will present the latest advancements in Laser AI, the new features and functionalities, as well as provide insights into the upcoming roadmap for 2023.

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