Business Engineering's team returned from the AI+IM Global Summit in Baltimore validated: their focus on data quality, governance and AI readiness aligns with global best practice. Key takeaways covered clean data as foundation, agentic AI for document processing, and digitisation as an ongoing challenge. Their Navigator AI tool was also previewed.
Business Engineering's Philip de Bruin and three colleagues - Alleric, Estelle and Charmaine - share their takeaways from the AI+IM Global Summit in Baltimore, where they benchmarked the company's AI and information management capabilities against global leaders in the field.
The headline finding: Business Engineering is on the right track. Sitting alongside the world's leading AI specialists confirmed that the conversations they are having with South African clients about data quality, governance and AI readiness are exactly the right ones.
Three practical themes stood out. First, the quality of data going into any system - whether AI-powered or not - determines the quality of what comes out. Second, agentic AI offers real potential for automating metadata capture and document processing, with humans remaining in the loop to validate outputs. Third, physical digitisation is still a global challenge - scanning companies were among the summit's biggest sponsors - and AI is accelerating the pace at which organisations can move from paper to usable digital information.
The team also previewed Navigator, Business Engineering's AI component being built into the Collaborator platform, with a dedicated podcast on the underlying LLM coming soon.