AI Research Assistant for Complex Research Tasks
An agentic research workflow designed to break a research task into steps, gather relevant sources, and organize findings.
Case Studies
See how Data Process Labs approaches business challenges, identifies opportunities for improvement, and develops solutions using automation, data analytics, and AI.
An agentic research workflow designed to break a research task into steps, gather relevant sources, and organize findings.
An AI front desk assistant designed to handle salon enquiries and support call workflows.
A website assistant that uses indexed site content to answer visitor questions with relevant information.
A Google Sheets-based automation workflow that combines customer inputs, complex calculations, business rules, and operational checks. Catering inquiry processing demonstrates how the approach works in practice.
A demonstration of how AI-powered conversational analytics can extend existing dashboards, helping users explore data and answer questions beyond predefined charts and metrics.
Our approach
We start by understanding the process, people, information, and constraints involved. Then we design a solution that fits the real requirement, using automation, analytics, AI, or a combination of approaches where they make sense.
01
Understand the challenge and current process.
02
Shape a practical approach around the need.
03
Connect the tools, data, and workflows.
04
Focus on what changes for the business.
Have a similar challenge?
Tell us what is slowing your team down, where your data is hard to use, or where AI may help. We'll work with you to identify a realistic path forward.