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GA AI Case Study – Building an AI-enabled CRM as a best-practice harness for relationship work

GA AI Case Study – Building an AI-enabled CRM as a best-practice harness for relationship work

GA AI Case Study – Building a middleware layer for AI and platform integration

GA AI Case Study – Building a middleware layer for AI and platform integration

GA AI Case Study – Building the people system for an AI-native firm

GA AI Case Study – Building the people system for an AI-native firm

GA AI Case Study – Encoding consulting method in AI-enabled delivery software

GA AI Case Study – Encoding consulting method in AI-enabled delivery software

GA AI Case Study – Modernising business-process software for human-and-AI work

GA AI Case Study – Modernising business-process software for human-and-AI work

GA AI Case Study – Governing an expanding AI estate through architecture as code

GA AI Case Study – Governing an expanding AI estate through architecture as code

GA AI Case Study – Separating document experience from governed retrieval

GA AI Case Study – Separating document experience from governed retrieval

GA AI Case Study – Implementing a governed inference proxy and model gateway

GA AI Case Study – Implementing a governed inference proxy and model gateway

GA AI Case Study – Building an ontology and context control plane for enterprise AI

GA AI Case Study – Building an ontology and context control plane for enterprise AI

GA AI Case Study – Building an agent operating platform, not a collection of chatbots

GA AI Case Study – Building an agent operating platform, not a collection of chatbots

GA AI Case Study – Turning AI know-how into a governed enterprise skills library

GA AI Case Study – Turning AI know-how into a governed enterprise skills library

GA AI Case Study – Building a sovereign local inference platform

GA AI Case Study – Building a sovereign local inference platform

GA AI Case Study – Migrating to an AI-ready knowledge and collaboration platform

GA AI Case Study – Migrating to an AI-ready knowledge and collaboration platform

GA Case Study – Multinational food-producer group – strategic due diligence on an acquisition and merger

GA Case Study – Multinational food-producer group – strategic due diligence on an acquisition and merger

At Techfest 2026, Marc Wilson, Managing Partner of Global Advisors, delivered a compelling opening keynote exploring the rapid evolution of artificial intelligence from a simple operational tool into a core driver of competitive strategy and business model design. Introduced by host Tony van Niekerk, the session kicked off by framing technology not as an efficiency gimmick or a mere rollout of better chatbots, but as a fundamental decision layer capable of rewriting the rules of customer relationships, risk underwriting, and distribution across the insurance sector. Drawing on Global Advisors’ first-hand experience as an entirely rebuilt, AI-native firm, Wilson contrasted the current AI landscape with the hype of the early 2000s .com bubble. He emphasised that while past digitisation waves focused on making existing processes faster or cheaper, today's machines insert complex inference directly into critical business steps—from automated customer agents independently renegotiating policies to upstream prevention models reshaping the very nature of risk. The address challenged industry leaders to move beyond operational testing and proactively decide where trusted intelligence should sit before market expectations are permanently altered by fast-moving competitors. Key Takeaways:The Autonomous Customer Threat: How third-party software agents are beginning to intermediate client relationships, pricing, and policy switching without your permission. Three Critical Boardroom Questions: Assessing where your true value is created, who genuinely owns your customer relationship, and locating your irreplaceable strategic "moat". The Reframe: Why AI is not a tool you adopt, but an economic and decision layer forming permanently underneath your corporate infrastructure. The Timing Gap Risk: Why early movers who scale AI-led business model changes lock in exponential advantages that late adopters can never realistically close. From Payer to Prevention Engine: Lessons from top industry performers moving from reactive claims handling to proactive, data-led risk reduction ecosystems. Building the "Harness": Why 98.4% of your corporate AI focus needs to be on governance, enterprise memory, and workflow safety rather than the models themselves.

techfest 2026 – AI as a business model

Global Advisors Managing Partner Marc Wilson was recently interviewed by Tony Van Niekerk after his keynote presentation at the COVER Innovators Network event. Marc examines how #AI is reshaping the #execution challenge, why automation is increasing cognitive load rather than reducing it, why value is rarely captured at the individual level without deliberate role redesign, and why adaptability has become the single most important organisational capability in an environment where no fixed plan survives contact with reality. Watch the full interview here - https://youtu.be/LwBVgYfNF3E

Sapiens, Microsoft & COVER Innovators Network – Tony van Niekerk interviews Marc Wilson

Events: Sapiens, Microsoft & COVER Innovators Network - AI as a business model and relationship enabler, not just an operational tool - Marc Wilson

Sapiens, Microsoft & COVER Innovators Network – AI as a business model and relationship enabler, not just an operational tool

?Seasons greetings and best wishes for 2026

Season’s greetings and best wishes for 2026

Hiring - Data Integration Specialist

Hiring – Data integration specialist – August 2026

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