AI-generated conversation data enriches matching algorithms for recruitment teams

As collaboration in technology-driven markets continues to grow, new opportunities arise for specialisation in areas like automation and AI-powered data. In2Dialog and theMatchBox have joined forces by integrating their software solutions to strengthen and streamline the data-based recruitment process—where accuracy and in-depth information make all the difference.

What does theMatchBox do?

theMatchBox is a Belgian tech company specializing in Assisted and Automated Matching solutions for recruitment. Their technology works like a digital assistant that automatically searches, suggests, and matches candidates to jobs – whether you’re actively sourcing in your database (Assisted Matching) or receiving automatic alerts about new matches (Automated Matching).

“Our solutions are like Google Alerts for talent matching – but smarter and integrated into your own ATS or CRM,” says Jan Govaerts, CEO of theMatchBox.

Where does In2Dialog come in?

In2Dialog specialises in automatically recording, transcribing, and analysing conversations – from intake interviews to client calls or candidate meetings. Thanks to these AI-generated summaries and linguistics analysis, recruiters quickly gain insight into conversations without wasting time on administrative work.

Through integration with theMatchBox, data from In2Dialog – such as transcripts of job interviews and conversation analysis – can now be used as an additional input source in the matching process. This enriches the match with insights that you won’t find in a CV or cover letter.

“Matching becomes much more complete when you combine multiple data sources: the CV, the letter, and the conversation,” says Diddo van Zand, owner of In2Dialog.

Highlights from AI Research

This integration aligns with the latest research trends and challenges in AI-driven recruitment, as highlighted in the recent academic study “The Influence of Artificial Intelligence in Talent Acquisition” (Bedi et al., 2024).

Some key insights include:

  • Data Depth Drives Better Decisions
    The study emphasises that traditional methods, relying only on CVs and cover letters, miss crucial context. By including data from interviews and real-time conversations—exactly what In2Dialog offers—the recruitment process becomes more holistic and accurate.
  • AI Increases Efficiency and Reduces Bias
    AI tools significantly streamline hiring processes. With technologies like theMatchBox’s matching engine and In2Dialog’s automated transcription and summarization, recruiters can process more candidates faster—while also mitigating human bias by relying on objective data.
  • Quality of Hire Improves with Multi-Source Data
    Combining structured data (CVs, assessments) with unstructured data (interview transcripts, preferences discussed in dialogue) leads to more accurate predictions of job fit, performance, and retention.
  • AI Adoption Drives Competitive Advantage
    Companies that integrate AI systems into their hiring workflows report a reduction in time-to-hire by up to 30% and cost savings of up to 40%, according to the study’s comparative analysis.

“Recruiters now need to go beyond resumes—AI helps surface insights that were previously hidden in notes or forgotten conversations,” the paper concludes.

This makes the In2Dialog integration with theMatchBox a textbook case of how advanced AI can unlock value by using conversation intelligence as a data source in the matching process.

Ready for the Future of Recruitment

With this integration, In2Dialog and theMatchBox are taking a big step toward context-driven matching. Recruiters get a more powerful, smarter system that not only works faster, but also better understands who the candidate is – and what they’re really looking for.

Want to know more about the integration or schedule a demo? Don’t hesitate to contact our team.