AI analytics for 1,000+ sales calls
Client
Expanse
Year
2025 to 2026
I built an LLM pipeline over 1,000+ B2B sales calls. Transcripts, stage tags that follow a call from connect to qualified to deal, manager scorecards, and conversion notes for sales and leadership.
I also automated lead sourcing and enrichment from sources like 2GIS, Kaspi.kz, and tenders, then plugged that data into the outbound workflow.
The analytics work fed the same product that reached about $10K MRR early on, and it gave clients hard numbers for coaching and hiring decisions.
Scope of Work
How cases are written
Problem, process, result. Short enough to scan, detailed enough to check.
Process and interface
Flows and screens that match how the system actually runs.
Notes under the work
Why we chose a metric, what shipped, what we would change next.
Different frame sizes
Dashboards, product UI, or site layout — use the ratio that fits.
Wide frames
Good for product surfaces and analytics views.
Standard frames
Useful for detail shots and single UI moments.
Two images
Before/after or two states side by side.
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