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September 16, 2026
6 min read

From AI Ambition to Measurable Impact: Why a Bottoms-Up Approach Is Reshaping Enterprise Value

The conversation around artificial intelligence has evolved quickly. What began as a race to “do AI” has given way to a more practical realisation: Experimentation alone is not enough – you need a strategy. Organisations moved fast to deploy tools and launch pilots, often measuring success by activity.
As organisations move to Workday, where Accounts Payable (AP) lands at go-live often represents a moment of truth. Because AP sits downstream from nearly every finance and procurement process, it becomes a strong indicator of whether the transformation was executed effectively or whether underlying issues remain unresolved.
Whether you are in the business of selling products, promoting brands, implementing marketing technology, preparing your organisation for AI adoption or researching maturing customer experiences at scale, imagine for a moment that you are a customer, rather than the enabler. Think about a brand that provided excellent service and reflect on that experience. Now, pause again to think about a brand or experience that…
In November 2022, ChatGPT 3.5 debuted, marking a major milestone for generative AI. Since then, new tools and models have emerged rapidly—bringing distinct capabilities and new security risks. As these technologies evolve toward more advanced reasoning and agentic capabilities, security leaders are evaluating what they could mean for vulnerability discovery, exploit development, and defense.
From a board level perspective, the case for migration is typically supported by several legitimate considerations:Future state enablement, including analytics, automation and AI readiness.Platform scalability and simplification aligned to long term growth.SAP ECC (ERP Central Component) maintenance timelines, which introduce long range support and cost considerations.Cybersecurity concerns, particularly following…
Security governance, risk and compliance (GRC) should be a strategic enabler for technology companies. In practice, many organisations experience the opposite: fragmented processes, blurred accountability and growing compliance obligations that feel disconnected from how the business actually operates.
Organisations continue to evaluate IT spend through a narrow operational lens, focusing on efficiency ratios, cost per ticket, or run rate versus budget. This approach worked when IT primarily delivered infrastructure and back-office services. Disruptive technologies such as AI fundamentally change how value is created, just as the rise of the internet in the 1990s forced organisations to rethink how the impact of…
Artificial intelligence (AI) is making development teams faster, but it is also reshaping architecture, risk and accountability. The implications extend far beyond smarter tools to a fundamentally new system of work.
Artificial intelligence (AI) is rapidly reshaping the enterprise landscape, promising a leap in productivity and efficiency. Yet, as organisations rush to deploy these digital agents, they risk unleashing forces they do not fully understand or control. The productivity promise of AI is real, but so is the privacy peril, and the stakes have never been higher.
Many financial and non-financial organisations are only now beginning to assess the impact of the Authority for Anti-Money Laundering (AMLA). AMLA marks a fundamental shift from Europe’s previously fragmented supervisory landscape to a single EU level authority with direct and indirect powers. AMLA’s Single Rulebook will apply uniformly across all 27 member states from 10 July 2027, establishing one common standard…
Finance organisations are at a pivotal moment. What began as AI experimentation for productivity is now becoming functional transformation, with Microsoft Copilot enabling finance teams to accelerate analysis, reduce manual effort and deliver higher value insights.
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