AI-assisted prospect qualification

Island Leads

A private prospect qualification system where AI handles the time-consuming work of finding, organizing, assessing, and scoring businesses. The resulting workspace gives the operator a prepared lead record to verify before deciding whether to reach out.

Type: Private internal application
Research model: AI-prepared lead records
Human role: Verify and decide

Island Leads dashboard showing aggregate prospect and qualification information

The problem

What needed to become clearer.

Finding worthwhile prospects across many local business sources normally requires hours of repetitive collection, website research, classification, scoring, and organization before a person can make a useful decision. The challenge was to let AI complete that preparation at scale while leaving the final judgment with the operator: whether a business is genuinely worth contacting.

What was built

An AI research pipeline that gathers business information, checks digital presence, organizes the findings, and prepares scored lead records.
AI-generated assessments and explanations that surface website opportunities, technical fit, and likely service needs for verification.
An overview of lead volume, website opportunity, pipeline state, source coverage, and qualification activity.
A searchable, sortable lead table with layered filters for business research, fit, service opportunity, and outreach state.
A keyboard-driven review deck where the operator verifies AI-prepared research and makes the final lead decision with minimal input.
Controlled workbook write-back with field validation, row guards, backups, and atomic replacement.

The approach

Let AI prepare the decision, not make it.

AI performs the broad, repetitive work before a lead reaches the review screen: collecting available business data, examining digital presence, organizing the record, identifying potential opportunities, and assigning scores with supporting rationale. The application then presents that work as a focused review queue. Instead of researching every prospect from scratch, the operator verifies the prepared evidence, corrects it only when needed, and makes the final outreach decision.

How it works

AI does the heavy lifting. A person makes the call.

01
Find and enrich
AI gathers available business information and digital-presence evidence from the source pipeline, reducing manual research and data entry.
02
Assess and organize
AI structures the findings, scores opportunity and technical fit, explains its reasoning, and places each business into a reviewable record.
03
Verify the work
The operator reviews the prepared evidence and website, making corrections only when the AI-generated assessment needs them.
04
Make the call
The operator decides whether the lead is worth pursuing, then records the qualification or next outreach step with minimal additional input.

Design and engineering

The choices behind the working product.

Automate the preparation

AI is used where it creates the most leverage: gathering, interpreting, scoring, and organizing the information needed for a decision.

Keep the final judgment human

The system recommends and explains; the operator verifies the evidence and retains control over who is actually worth contacting.

Preserve the working data

The workbook remains interoperable while validation, row identity checks, backups, and atomic replacement protect controlled updates.

Make review nearly input-free

Prepared records, explanations, filters, shortcuts, and saved review position let the operator focus on verification instead of repetitive entry and organization.

Technology

Next.js
React
TypeScript
Tailwind CSS
TanStack Table
Recharts
ExcelJS

Current boundaries

Designed as a private, local workflow rather than a public multi-user CRM.
AI prepares and scores the research; the final qualification and outreach decision remain human-controlled.
The system prepares prospects for outreach but does not send messages automatically.
Current analytics describe dataset state, not measured commercial impact.

The working result

From hours of research to one informed decision.

Island Leads turns a research-heavy prospecting process into a verification workflow. AI fetches, evaluates, scores, and organizes the available information before the operator sees it, leaving a focused task: check the prepared evidence and decide whether the business deserves outreach. The system provides leverage without handing the final decision to an algorithm.

Related serviceBusiness automation