AI-ML

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Generative AI Solutions Computer Vision Systems AI Agents & Multi-Agent Systems Predictive Analytics Recommendation Engines

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Data Engineering for AI Model Training & Fine-Tuning MLOps (CI/CD for ML)Deployment (Cloud/Edge)AI Integration (APIs, SDKs)

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Automation

Intelligent Automation Systems Workflow Orchestration

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Mobile App Development

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Cyber & AI Security

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Medical Transcription Intelligence Cyron AI

SolarBuddy Automation

Each address is geocoded, stored with coordinates, or flagged with a failure reason.

Automated pipeline processes property data, calculates solar potential, and tracks API costs with zero manual effort.

No Lead Intake Drops Silently

SolarBuddy automates data validation, solar potential calculations, and API cost tracking, ensuring verified records and reducing manual work.

The Impact

Streamlined Delivery

Automates data ingestion to deliver personalized, downloadable solar reports directly to users.

Cost Transparency

Tracks per-API costs across OpenAI tokens, Make.com operations, and free-tier calls.

Data Validation

Automatically audits incoming data and isolates incomplete records to ensure ingestion quality.

How We Thought

Focused on transforming raw property submissions into calculated estimates instantly, ensuring no processing delays or hidden execution costs stall system tracking.

1. Webhook Ingestion

The Entry Point

The workflow triggers instantly on multi-step lead intake form submissions, capturing contact information, energy metrics, and roof image uploads.

2. Forward Geocoding & Solar Analysis

The API Execution

Data coordinates pass to third-party geocoding and solar endpoints to retrieve regional irradiance, tariff structures, and production estimates.

3. Result Routing & Deduplication

The Logic Gate

The automation checks database histories for identical property addresses before execution to prevent duplicate API spend.

4. Dual Destinations

The Output Split

Clean transactions generate an assessment report and write to the Leads table; failed requests route directly into an error view.

5. Error Classification

The Safety Net

A scheduling scenario scans recently added leads for missing fields and creates specific issue tags for administrator review.

Architecture Snapshot

An event-driven pipeline uses webhooks to trigger workflows instantly, combining data ingestion, API execution, validation, and parallel CRM logging into one automated stream that eliminates processing delays.

The Stack

Vercel, Make.com, OpenAI, and Airtable power automated solar analysis, reporting, routing, and cost tracking.

Make.com

Vercel

Open AI

Airtable

Systems Delivered

Multi-Step Lead Intake Webform

Per-API Cost Tracking Module

Make.com Automated Calculation Backend

APITemplate.io PDF Generation Engine

Authenticated Dashboard User Interface

What Changed

Inbound data moves from submission to structured PDF reports in seconds.
Administrative teams waste zero time cross-referencing manual solar grids or layout formats.
Pipeline spend leaks dropped because every software operation logs an audit cost trace.
Dedicated integrity views guarantee swift visibility for records needing manual adjustment.
The entire lead processing and report delivery ecosystem runs continuously 24 hours a day.

Curious how we approach complex builds like this?

See How We Work

CIZO helped us turn a complex solar assessment process into a simple, automated workflow. The system saves our team time and gives us better visibility across the entire process.

- JonathanAutomation | USA

Most ideas never reach this stage. Execution is where ideas earn their value.