John Mokumo is a Data Analytics Manager at the Auditor-General of South Africa (AGSA), where he leads a high-performing team focused on driving data-driven audit insights and innovation. With a passion for data quality, trust, and observability, he enables smarter decision-making and strengthens public sector accountability. John is a champion of analytics-driven transformation, regularly engaging stakeholders to unlock value from data. When he’s not building solutions, he’s advancing thought leadership in analytics and empowering teams to innovate and grow.
Session Overview
Building Trust in BI & AI: Lessons from a High-Stakes Audit Environment
In high-stakes environments where decisions must stand up to scrutiny, trust in data is not optional it is essential. In this session, Building Trust in BI & AI: Lessons from a High-Stakes Audit Environment, John Mokumo shares practical, experience-driven insights from the Auditor-General of South Africa (AGSA), where every dashboard is treated as audit evidence and must be defensible, explainable, and reliable.
Attendees will explore why the biggest barrier to BI and AI adoption is not technology, but trust specifically, confidence in data quality, clarity of logic, and alignment with business context. Drawing on real-world scenarios, John will unpack the common challenges that undermine trust, including inconsistent data sources, evolving requirements, and skepticism around AI-driven insights.
Through a compelling case study, the session will highlight what actually works in building trust: prioritising data quality before dashboards, favouring explainability over complexity, involving users early in the process, and embedding governance as a foundation rather than an afterthought. Attendees will gain practical strategies to address resistance, improve adoption, and ensure that analytics outputs are not only accurate, but also understood and trusted.
Whether you work in the public or private sector, this session will equip you with actionable lessons to strengthen confidence in BI and AI initiatives. If it can work in a highly regulated audit environment, it can work anywhere.
Three Tangible Learnings
Learning 1:
Trust in BI and AI is not a technology issue—it is built through data quality, transparency, and the ability to clearly explain how insights are derived.
Learning 2:
Adoption is driven by inclusion, not enforcement—engaging users early in the process increases confidence, reduces resistance, and strengthens long-term value.
Learning 3:
In high-stakes environments, successful analytics must be explainable, auditable, and governed—accuracy alone is not enough without accountability and defensibility.
Alternatively, please email sales@eventfulpeople.com for quote, invoice or any queries and we’ll be glad to assist.
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John Mokumo is a Data Analytics Manager at the Auditor-General of South Africa (AGSA), where he leads a high-performing team focused on driving data-driven audit insights and innovation. With a passion for data quality, trust, and observability, he enables smarter decision-making and strengthens public sector accountability. John is a champion of analytics-driven transformation, regularly engaging stakeholders to unlock value from data. When he’s not building solutions, he’s advancing thought leadership in analytics and empowering teams to innovate and grow.
