CardConnect AI, Figure 1AI-GENERATED

CASE STUDY AI

CardConnect AI

An AI-driven system that automates the process of digitizing business contacts from visiting cards.

Year
2025
Field
AI
Team
Aashwin Shrivastava, Shakti Shrivastava
Tech stack
AI, n8n
Location
Germany
Published
Oct 24, 2025

Interactive demo

Project Introduction

CardConnect AI streamlines post-event networking and contact management by automating the entire process of handling visiting cards.

When you meet someone at an event, you simply snap a photo of their card or record a short voice note. The system’s AI modules:

  • Extract contact details using OCR and NLP.
  • Enrich this data with contextual information (like meeting topic or intent) from short voice notes.
  • Automatically create or update CRM entries with the contact, add categorized tags (e.g., “potential client,” “partner,” “investor”), and schedule relevant follow-ups.
  • Optionally, it drafts personalized introductory or thank-you emails/messages using generative AI — ready for review or instant sending.
CardConnect AI, Figure 2

Challenges Involved

  1. OCR Accuracy & Layout Variance – Visiting cards differ widely in design, fonts, and languages, making data extraction difficult.
  2. Context Understanding from Voice Notes – Converting free-form speech into structured CRM insights is complex.
  3. CRM Integration & Data Sync – Maintaining consistency, deduplication, and authentication across different CRM APIs.
CardConnect AI, Figure 3

Solution Approach

  1. Multimodal AI Processing – Combines OCR (for card text), ASR (for speech-to-text), and LLMs (for context parsing & message drafting).
  2. Adaptive NLP Models – Fine-tuned for CRM field mapping, contact intent detection, and follow-up recommendation.
  3. Smart Categorization & Enrichment – AI classifies contacts (e.g., “warm lead,” “cold prospect”) based on extracted context and conversation tone.
CardConnect AI, Figure 4

Results / Benefits

  1. Instant CRM Updates – No manual data entry after networking events.
  2. Personalized Outreach – AI drafts natural follow-up messages, improving conversion rates.
  3. Contextual Memory – Every contact is stored with meeting context and follow-up suggestions for future use.

Resource Efficiency / Sustainability

  1. Time & Cost Savings – Eliminates manual CRM data entry and follow-up scheduling.
  2. Streamlined Workflows – Fewer administrative tasks mean better productivity and reduced operational overhead.

More case studies

CASE STUDIES
  1. Smart Grant AI SmartGrant sims to automate discovery of public funding and grant opportunities in Germany. Smart Grant AI
  2. Financial Document Extraction AI Automating financial data extraction from complex documents to improve accuracy and speed. Financial Document Extraction AI
  3. AI for Document Q&A Advanced RAG implementations to answer questions based on uploaded documents AI for Document Q&A

Have a comparable brief? We start with a design-thinking pilot.

Get in touch

Richard Feynman

“The first principle is that you must not fool yourself, and you are the easiest person to fool.”