Faisal RehmanAI ENGINEER
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Checkmate · Case study

From business questions to actions inside Checkmate.

Ask Checkmate: an AI assistant that helps customers understand their data, generate insights, and take actions within the product through MCP.

My role
Built the product end to end
Period
2026
Technology
LLM agents · MCP · Python · Analytics · Product integrations
InsightsNatural-language business analysis
MCPActions within Checkmate
End to endProduct and engineering ownership

The customer problem

Customers need to understand what is happening in their business and act on it without moving between disconnected tools. Ask Checkmate brings conversational assistance into the product workflow.

What I built

I built an AI assistant that answers questions about customer data and generates business insights. The newer version uses MCP to take actions within Checkmate, extending the experience from analysis into product workflows.

Customer request→AI assistant→MCP tools→Insights & product actions

My ownership spans the application, agent behavior, data integration, and deployment. The experience is centered on the customer’s task and outcome.

Product impact

The earlier analytics application replaced a licensed business intelligence tool. The newer assistant builds on that foundation by enabling actions within Checkmate as well as answering questions and generating insights.

This work brings together conversational AI, business context, and the product integrations needed to help customers get work done.

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07 WHAT’S NEXT

Hard problems.
Meaningful work.

I’m interested in teams bringing capable AI into the real world. Let’s talk about AI engineering, agent reliability, and products worth building.