Digital-first reporting, and the importance of structured data in reporting in an AI world.
Annual reports have spent decades as PDFs — built for reading, not for machines. As regulators move toward structured, tagged disclosure and AI systems become primary readers of corporate data, issuers face a choice: keep publishing static documents, or start reporting in a language machines and stakeholders can both trust. That was the conversation on the day.
What issuers lose when financial and impact data is locked inside a document designed for print, and what structured tagging recovers.
Where JSE-listed issuers stand on structured tagging today, and the practical route from narrative reporting to tagged disclosure.
Why large language models and analyst tools increasingly determine how your report gets read — and what that means for how it should be built.
The full session, including the panel discussion and audience Q&A.
A snapshot built from the polling, questions, and conversations captured on the day — shared here to give you a feel for where the sector's thinking sits, not as an ongoing data feed.
"Which best describes your organisation today?"
Ranked by show-of-hands, live in session
Pulled from live Q&A submissions and table discussions
Everything referenced on the day, in one place.
The full presentation, including panel discussion prompts.
Download PDF → readingA practical primer on moving from narrative to structured, tagged disclosure.
Read the guide → case studyHow one issuer approached its first structured, machine-readable report.
Read the case study → get in touchReady to explore structured reporting for your organisation? Let's talk.
Contact Ince →