The Challenge
TwinsAI is built around a simple problem: sales teams generate enormous amounts of valuable information during calls and meetings, but much of that context is lost between the conversation, the CRM, and the next sales action. As a contractor, I worked on a specific part of the product focused on transforming conversation data into structured, actionable context for the sales workflow.
The Solution
I contributed to the conversation intelligence workflow, focusing on the application and integration layer that connects AI-generated conversation insights with downstream sales workflows. My work involved handling structured conversation data, integrating AI-generated outputs into the product experience, and supporting the flow of contextual information between the conversation interface and business systems. This helped make conversation-derived information more useful inside the sales workflow rather than treating transcription or summaries as an isolated feature. TwinsAI's broader platform combines real-time AI coaching, botless meeting capture, automated follow-ups, CRM updates, parallel dialing, and revenue agents.
Key Features
The Outcome
My contribution supported the product's broader goal of turning sales conversations into usable context for revenue teams. Instead of leaving conversation data in transcripts or isolated notes, the workflow connects insights with follow-ups, CRM activity, and other sales actions. TwinsAI now operates as a broader conversation layer across calls, meetings, coaching, and revenue workflows.
Tech Stack
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