The Brief
Scholarly, a fast-growing SaaS platform, needed two things: an internal dashboard to track sales team performance without manual spreadsheet work every week, and a suite of AI-powered automations to handle repetitive workflows across their tools. Different team members logged data with different column names, pipelines were fragmented, and hours were lost to manual reporting and copy-pasting between systems.
What We Shipped
Six live KPI cards: hours, calls, productivity, active staff count, and more
AI-powered import that normalises over 40 different column name variations automatically
Drag-and-drop CSV upload and Google Sheets URL import, compatible with any spreadsheet format
Duplicate detection preventing the same data from being counted twice
Filterable charts for calls per hour and team productivity breakdowns
Team management with Sales and Success team creation and staff assignment
Full audit log of every import, edit, and system action for accountability
Numerous n8n AI automation workflows replacing manual tasks across their tool stack
Delivered
CSV + Google Sheets
Data Sources
40+ field variations
AI Normalisation
6
KPI Cards
n8n AI Workflows
Automations
Reporting automated, workflows rebuilt with AI
An internal Next.js dashboard with live KPI tracking, AI-normalised data import, and a complete audit log, plus a suite of n8n AI automation workflows that replaced hours of manual work across the Scholarly team's tool stack.
Client Voice
The AI automation workflows Hexspire built replaced hours of manual work every week. Our team now spends that time on growth instead of copy-pasting between tools. The ROI was visible within the first month.
Emma Torres
Head of Sales · Scholarly
Full Breakdown
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