Charlie Bellingham

Charlie Bellingham is Product Lead for Affinda’s intelligent document processing and agentic AI platform. He helps organizations make sense of document-heavy workflows by turning PDFs, emails and forms into stable, accurate structured data teams can rely on. With experience across enterprises and startups in strategy, product and commercial roles, Charlie balances deep technical understanding with a focus on business outcomes, risk and customer value. At Affinda, he partners with customers, engineers and designers to identify high-impact document problems, design products that work in messy real-world environments and deliver changes that meaningfully shift the metrics – not just add features.

I herd AI, engineers and customer wishlists so Affinda’s products actually fix document chaos instead of adding to it.

AI product strategy for document workflows

Defining the roadmap for Affinda’s intelligent document processing platform so organizations can automate end-to-end workflows – not just single extraction steps – and see measurable improvements in accuracy, speed and unit economics.

Data-driven product management in B2B SaaS

Using data to prioritize what gets built, from opportunity sizing and funnel analysis to pricing, packaging and usage insights. Favoring experiments with clear success criteria over vague “nice to have” features.

Customer-led automation and AI transformation

Working with enterprise customers to map document journeys, quantify the cost of manual work and design AI-powered workflows that are auditable, safe and impactful. That means choosing the highest-value use cases first, proving results with numbers and iterating rather than relying on a single big launch.

Inside Affinda’s model memory approach to next-generation IDP

This article explains Affinda’s unique approach, which is built for fast configuration, superior accuracy and the flexibility to extract data from any document in any format.