Manager, Marketing at Affinda · LinkedIn

Brianna Charles is Marketing Manager at Affinda, a Melbourne-based intelligent document processing platform that uses proprietary AI to achieve 99%+ extraction accuracy across 56 languages. Affinda serves customers in 80+ countries across banking, government, healthcare, insurance, logistics, manufacturing, recruitment, and real estate, and was named by Deloitte as the fastest-growing AI company in Australia, with 364% global growth since 2022.

Brianna joined Affinda in 2025 and was involved in the company's brand and website relaunch. Her work at Affinda covers agentic AI document processing, AI transformation and adoption strategies, and market positioning for enterprise document intelligence. She brings a B2B marketing perspective to the IDP space, contributing vendor insights and competitive analysis that reflect how document processing platforms communicate their capabilities to enterprise buyers.

Before Affinda, Brianna served as Senior Marketing Communications Executive at AJ Bell, a UK-based financial services company, where she gained experience in regulated-industry communications. She holds a degree with distinction from Queensland University of Technology and brings 10+ years of B2B marketing experience spanning financial services and technology. Her background combines data-driven marketing with deep knowledge of modern digital technologies.

Contributions

Brianna has authored and contributed to IDP Software content covering vendor profiles and competitive analysis within the document processing market.

  • Affinda Vendor Profile: Comprehensive profile documenting Affinda's intelligent document processing capabilities, proprietary AI architecture, language support across 56 languages, deployment models, and market positioning across enterprise sectors including banking, government, healthcare, and recruitment.
  • Affinda vs Google Document AI: Comparative analysis exploring how Affinda's document intelligence platform differentiates from Google Cloud Document AI, examining differences in AI accuracy, language coverage, extraction methodologies, and optimal use case alignment for enterprise buyers.