77 “ The frontier firm will be built on data agents can trust enough to act upon” When migration becomes unavoidable, the instinct is to lift and shift by cloning the existing dashboards onto a new tool. Recreating yesterday’s fragmentation on tomorrow’s platform delivers none of the modernisation and leaves agents with nothing solid to stand on. The organisations getting this right treat migration, modernisation and rationalisation as a single exercise. They rationalise the estate first, retiring redundant reports. In one programme, dashboards were consolidated by more than a third. They modernise with Fabric and Power BI. They build a governed semantic layer, one certified source of business definitions and metrics that Copilot in Fabric, natural-language queries and AI agents can all draw on with confidence. A metric is defined once and consumed everywhere, so a dashboard, a natural-language question and an autonomous agent all return the same number. That consistency, backed by clear lineage and governance, is what turns raw data into something an agent can genuinely be trusted to act on. Migrations succeed or fail on adoption, so the work needs to be run as a change programme that includes retraining analysts, standing up a centre of excellence and shifting the culture from analyst dependency to genuine self-service. Purpose-built accelerators and automated conversion utilities can compress the timeline considerably, resulting in a workforce and data foundation ready to act. The frontier firm will be built on data agents can trust enough to act upon. Migrating BI creates the foundation for autonomous decision-making while reducing the cost of legacy reporting. Enterprises that recognise this now will be better positioned to scale agentic AI reliably. ZS believes the journey to agentic AI begins with modernising business intelligence and creating trusted, consistent data across the enterprise Photo: Patamaporn Umnahanant
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