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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.
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.
Microsoft’s Digital Defence Report 2025 reinforces what we see every day with our clients: attacks are faster, AI is elevating both threat capability and business opportunity and the security assumptions we have relied on no longer hold. As I work with CISOs and executive teams navigating this new terrain, several themes stand out that I believe deserve sharper focus. Below are the five takeaways I consider most…
Artificial intelligence has moved decisively beyond the experimentation phase in financial services. What began as advanced analytics and predictive modelling has rapidly evolved into generative AI copilots, autonomous agents, embedded decision engines and customer-facing AI systems. In many institutions, AI is no longer peripheral. It is becoming an essential component of operational infrastructure.
Last month, I wrote about how AI investments expose the cracks in your operating model. The response was clear: "We get it. But what does good actually look like?"Most organisations are approaching this backwards. They're automating tasks when they should be reimagining how work gets done. The difference? One saves you 10%. The other unlocks 10x potential.
On January 21, 2026, a platform-wide security update in Salesforce Marketing Cloud generated an issue that caused links in previously sent emails to stop working. Salesforce Security identified a vulnerability within Marketing Cloud Engagement and responded by deploying enhanced encryption across the platform. While this critical update strengthens data protection, it exposes a risk to organisations that requires…
As companies grow and diversify, regardless of industry, their technology environments often become fragmented, with multiple applications and platforms operating in silos. This fragmentation leads to operational inefficiencies, higher costs and difficulty in responding to evolving customer expectations.
In brief:The cost of architectural non-governance: More than half of companies are spending more than a quarter of their technology budgets on remediation, much of it architectural. (link) This is money not spent on business enablement and alignment.AI is raising the stakes: The explosion of AI and other emerging technologies has dramatically increased the volume and complexity of architectural decisions, making…
On January 15, 2026, stricter license compliance will be enforced, requiring all users to have assigned licenses in Power Platform Admin Center (PPAC) to access Microsoft Dynamics 365 (D365) applications. This change will ensure that only authorised users with the appropriate license assignment can access or manage applications.
AI agents are no longer a futuristic concept - they are a practical, transformative force that is reshaping industries. One of the most impactful uses of AI today is the development and deployment of agents: systems that independently perform tasks, interact with data and even collaborate with people to enhance efficiency, reduce costs and drive innovation.
Those who work in the data world, especially with a modern platform like Microsoft Fabric, are likely familiar with medallion architecture, where data is carefully moved from its raw bronze state to a cleaned and conformed silver layer and finally to a business-ready gold layer.
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