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Playbook Series

AI For Fintech
with Crafted

The definitive playbook on deploying and scaling AI systems in fintech. A practical guide for navigating the intersection of finance and artificial intelligence.

AI For Fintech Book Cover

A Message from the Author

"Welcome to this playbook on deploying and scaling AI systems in fintech. My name is Seyhun Akyürek, and with over two decades of experience in software development and the fintech industry, I’ve seen firsthand how AI is transforming the landscape of financial services. From optimizing credit scoring models to automating fraud detection, AI is not only enhancing efficiency but also creating new opportunities for growth and innovation."

Seyhun Akyürek

Author

Inside the Book

What You'll Learn.

This concise guide cuts through the hype to deliver actionable strategies for implementing AI in financial environments.

  • Credit Scoring

    Optimizing models for accuracy and fairness.

  • Fraud Detection

    Real-time anomaly detection at scale.

  • Operational Efficiency

    Automating back-office workflows with agents.

  • Growth & Innovation

    Unlocking new revenue streams via personalized services.

"A Must-Read for Fintech Leaders"

Whether you are a CTO, Product Manager, or Developer, this playbook provides the framework needed to navigate the AI revolution in finance.

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Kindle Edition Available Instantly

Table of Contents

Chapters at a Glance

A structured roadmap from AI fundamentals to deployment, compliance, and real-world fintech agent design.

Updated for 2026

1. AI Foundations for Fintech

  • Large Language Models (LLMs): concepts, usage, implementation
  • Embeddings: types and practical applications
  • Fine-tuning for fintech tasks + credit scoring case study
  • AI risks: bias, explainability, compliance, emerging trends

2. Fintech-Specific AI Use Cases

  • Credit scoring model comparison & rollout challenges
  • KYC/AML automation workflows
  • Fraud detection techniques and models
  • Regulatory reporting automation

3. AI System Design Patterns

  • Event-driven pipelines for real-time AI
  • Kafka foundations and streaming design
  • Secure microservices with FastAPI

4. Compliance & Security in AI Systems

  • Regulatory compliance: GDPR, PCI-DSS
  • Security measures and threat controls
  • Protecting AI systems in production

5. Building Fintech AI Agents

  • Using Crafted for agent development
  • Loan underwriting agent build walkthrough
  • Operational guardrails and test harnesses

6. Deploying and Scaling AI in Fintech

  • MLOps practices and key components
  • Cloud deployment on AWS/GCP
  • Scaling with observability and cost controls

7. Advanced Fintech AI Strategy

  • Operating model for agent teams
  • Risk governance and model stewardship
  • Budgeting, ROI, and capacity planning
  • Vendor selection and build-vs-buy

8. Crafted AI Agents Directory

  • Marketing & Analytics
  • Finance
  • Content Generation
  • HR and IT agents