How to Build an AI Case Study Proposal Insert Generator

This ai case study proposal insert generator matches the right success stories to each prospect based on industry and pain points. Relevant proof converts better than generic proof.

What You Need Before Starting

• Python 3.8+
• Claude or GPT API key
• Jinja2 for templating
• weasyprint for PDF generation

Step 1: Define Your Data Model

Set up the structure for case studies records.

import json
import sqlite3
from datetime import datetime

def init_db():
    conn = sqlite3.connect("case_studies.db")
    conn.execute("""CREATE TABLE IF NOT EXISTS case_studies (
        id INTEGER PRIMARY KEY AUTOINCREMENT,
        deal_id TEXT, content TEXT, status TEXT DEFAULT 'draft',
        created_at TEXT, updated_at TEXT
    )""")
    conn.commit()
    return conn

Step 2: Pull CRM Context

Get deal and company data to populate your case studies.

def get_context(crm_client, deal_id):
    deal = crm_client.get_deal(deal_id)
    company = crm_client.get_company(deal["company_id"])
    return {
        "deal_name": deal["name"],
        "company": company["name"],
        "industry": company["industry"],
        "amount": deal["amount"],
        "notes": deal.get("notes", ""),
    }

Step 3: Generate Content with AI

Use Claude to create customized case studies content.

import anthropic

def generate_content(context):
    client = anthropic.Anthropic()
    message = client.messages.create(
        model="claude-sonnet-4-20250514", max_tokens=2000,
        messages=[{"role": "user",
            "content": f"Generate case studies content for {context['company']} in {context['industry']}.\nDeal value: ${context['amount']:,.0f}\nNotes: {context['notes']}"}]
    )
    return message.content[0].text

Step 4: Format and Export

Create a professional output document.

def export_document(content, context, output_dir):
    filename = f"{context['deal_name']}_{datetime.now().strftime('%Y%m%d')}.md"
    path = os.path.join(output_dir, filename)
    with open(path, "w") as f:
        f.write(f"# {context['company']}\n\n{content}")
    return path

Step 5: Track and Measure

Log every document and track conversion.

def log_document(conn, deal_id, path, status="draft"):
    conn.execute(
        "INSERT INTO case_studies (deal_id, content, status, created_at, updated_at) VALUES (?, ?, ?, ?, ?)",
        (deal_id, path, status, datetime.now().isoformat(), datetime.now().isoformat()))
    conn.commit()

What to Build Next

Build a feedback loop. Track which case studies appear in winning proposals.

Related Reading

• Prompt: Write a Case Study - prompt write case study
• AI for Proposal and Document Creation - ai proposal document creation
• AI for Contract and Proposal Management - ai contract proposal management