Identify the right use case
We review current tasks to identify where AI can help and where fixed rules or human review are needed.
Qutell AI
We build employee assistants, document processing tools, and task automation, integrating them with your data and systems around your business requirements.
What we offer
We start with the task you want to improve, then identify the data, tools, and integrations needed to build and test the solution.
We review current tasks to identify where AI can help and where fixed rules or human review are needed.
We build the required assistant or capability and prepare its data sources and the way results are presented to users.
We connect the solution to available systems and services, defining the data it can access and the actions it is allowed to perform.
We test result quality against agreed cases and define how errors will be reviewed and performance monitored after launch.
Practical use cases
Examples of solutions that can be developed around your organization’s data, systems, and user requirements.
Help employees find information in approved guides, policies, and documents, while showing the sources used in each answer.
Extract and classify specific data from documents, preparing it for review or entry into a system.
Help service teams find information, draft responses, and summarize conversations, while routing cases that need employee intervention.
Prepare report drafts and summaries from defined data and content for users to review and approve.
Coordinate multi-step processes, such as preparing a request or updating a record, with defined permissions and approvals where needed.
Add an assistant that helps users understand information, reach functions, and perform specific tasks inside an application.
Our process
We start with a defined scope and review results with users before approving a broader implementation.
We define data sources, access permissions, and the actions allowed for each use case. Outputs or actions may require user review and approval.
Our team also uses AI tools in development, testing, and documentation, reviewing outputs before approval.
We agree on the users, task, required outcome, and how the trial will be evaluated.
We review data sources and quality, integration options, and requirements for accessing and handling information.
We develop a prototype, test it against agreed cases, and review errors, time, and cost.
We connect the solution to the work environment, prepare users, and define how results and improvements will be monitored.
Start with a specific task
Tell us about the task, the systems in use, and the available data sources. We will review the proposed use case with you and define the scope of the trial.