Toptal helps pharmaceutical company expand data analysis capacity with AI.
A pharmaceutical company sought Toptal’s help to improve business requirements that were creating unnecessary development work and expand its capacity to analyze data for business stakeholders.
Client
A US-based pharmaceutical company using an AI agent to improve requirements and expand data analysis.
Employees
Revenue
Industry
Healthcare and Life SciencesDelivered Services
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Incomplete business requirements were leading to unclear product requirements documents (PRDs) and Jira tickets, creating unnecessary rework for developers and frustration among business stakeholders. The team also needed additional capacity to handle data analysis without diverting expensive developer hours.
Solution
Improving Requirement Quality
Toptal worked with product managers and stakeholders to clarify requirements before development, introducing a refinement process and creating more detailed PRDs and Jira tickets to reduce downstream rework.
Expanding Analysis Capacity
Using a custom AI agent connected to Confluence, Jira, Databricks, and GitHub, Toptal combined internal knowledge with data analysis capabilities to support business decisions without requiring another dedicated data engineer.
Outcome
Reducing Development Rework
Better-defined requirements reduced rework and took technical PRD tasks off product managers, with developers reporting greater satisfaction with the specifications they received.
Adding FTE Capacity
The AI-augmented workflow provided data analysis capacity comparable to one additional data engineer full-time equivalent (FTE), avoiding the need for another hire or the use of higher-cost developer hours for this work.
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