Solution Blueprints
How We Would Build These AI Systems
Detailed technical blueprints for real problems schools, colleges, and businesses face. Each blueprint shows exactly what we would build, how we would architect it, and the outcomes you can expect.
Schools & K-12 Education8–10 weeks$35,000–$50,000
How We Would Automate a School's Entire Enrollment Pipeline Using Retool, Python, and Custom LLM Orchestration
Replacing a 3-week manual admission cycle with an intelligent system that processes applications in days
~85%
Expected automation
3 weeks → 4–5 days
Projected cycle time
15–25% → under 8%
Expected drop-off reduction
PythonFastAPIPostgreSQLRetoolGPT-4 APITesseract OCR+3 more
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Colleges & Higher Education6–8 weeks$25,000–$40,000
How We Would Build an Automated Fee Collection & Payment Tracking System for a College
Replacing manual fee tracking spreadsheets with an intelligent system that collects payments faster and eliminates receivable leakage
20–35%
Expected collection improvement
15–30 days
Projected cycle reduction
Near zero
Manual reconciliation
PythonFastAPIPostgreSQLRetoolRazorpay / PayU APIWhatsApp Business API+4 more
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School Groups & Education Networks5–7 weeks$20,000–$35,000
How We Would Build a Real-Time Operations Dashboard for a School Group Managing Multiple Branches
Replacing daily phone calls and WhatsApp status updates with automated operational intelligence across campuses
1.5–2 hrs/day
Expected time saved (director)
Hours → Real-time
Issue detection speed
All branches, one view
Operational visibility
PythonFastAPIRetoolPostgreSQLREST API IntegrationsWhatsApp Business API+3 more
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Every case study started with a 30-minute discovery call where we identified the highest-ROI automation targets. Let's find yours.