Report

LSEG: AI’s Role in Wealth Management

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Our latest report with LSEG highlights how AI is rapidly transforming the wealth management industry; particularly by enhancing the human experience for both advisors and clients. Firms are increasingly using generative AI to analyze client data, create personalized communications, and deliver tailored investment insights. This shift is driving higher expectations among investors, who now seek more proactive, real-time, and highly personalized financial guidance supported by seamless, data-driven interactions.

However, despite growing adoption, many organizations face significant challenges in scaling AI effectively—primarily due to poor data foundations. Inconsistent, siloed, and low-quality data limits the reliability and transparency of AI outputs, increasing risks such as bias and inaccurate recommendations. The report emphasizes that firms must prioritize data integrity, governance, and security before expanding AI initiatives, especially in a highly regulated environment where trust and explainability are critical.

While enthusiasm for AI is high, most firms are still struggling to achieve meaningful returns on investment. Many report only modest gains due to barriers like legacy systems, cultural resistance, and regulatory uncertainty. However, leading organizations are beginning to close this gap by focusing on high-impact use cases, investing in strong data infrastructure, and embedding AI into core business strategy. Ultimately, the future of wealth management will belong to firms that successfully combine human expertise with intelligent, AI-driven systems to deliver more responsive, personalized, and value-driven client experiences.

ServiceNow: AI Maturity Index

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AI innovation is picking up speed across industries as companies move from experimenting with new tools to fully implementing them. According to the latest ServiceNow Enterprise AI Maturity Index, created in collaboration with ThoughtLab, the average AI maturity score has jumped from 35 to 51 in just one year. While that growth is impressive, it also reveals a major challenge: many organizations are adopting AI quickly without building the strong foundation needed to support it long term.

Within this shift, a standout group of companies referred to as “Pacesetters,” are leading the way in true AI transformation. These organizations aren’t just adding AI into existing processes; they’re rethinking how their entire business operates around it. That approach is paying off, with Pacesetters seeing significantly higher innovation, productivity, and return on investment compared to their peers.

So what are they doing differently? It comes down to being intentional at every step. They align leadership around a clear AI vision, invest in clean, connected data, and redesign workflows instead of simply automating old ones. They also prioritize upskilling their teams to work alongside AI and put strong governance in place early to manage risk. Together, these strategies help them scale AI effectively—and set a roadmap for others looking to do the same.

ServiceNow: Enterprise AI Maturity Benchmarking Tool 2025

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To measure progress in AI transformation, ServiceNow surveyed nearly 4,500 C-level and senior executives across 16 countries and 11 industries for its second annual Enterprise AI Maturity Index. The study reveals best practices and outcomes from a leading cohort of organizations driving exceptional value from AI.

To help organizations understand how they compare against their peers in their AI transformation, ThoughtLab created a simple benchmarking tool that shows how they stack up across AI strategy, data governance, talent and skills, workflows, agentic AI use, and overall performance.

Access the Enterprise AI Maturity Benchmarking Tool.

ServiceNow and NVIDIA: AI Maturity in Banking

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With the stakes high, banks around the world are rushing to adopt AI. Industry leaders believe AI will revolutionize how banks manage their end-to-end businesses, across the front, middle, and back offices. Already, according to our latest survey, banks saw an average 8.4% increase in gross margins from their use of AI last year. But some banks–especially smaller ones with limited financial and technology resources and  labyrinthine legacy systems–are falling behind. Some 40% of banks in ServiceNow’s latest survey with less than $250 million in revenue say they are only in the evaluation or experimentation stage of AI implementation, vs. no banks with over $5 billion in revenue.

To measure progress in AI transformation, we surveyed nearly 4,500 C-level and senior executives across 16 countries and 11 industries. The study reveals best practices and outcomes from a leading cohort of organizations driving exceptional value from AI—and to help you see how your organization compares, we’ve created a simple benchmarking tool that shows how you stack up across AI strategy, data governance, talent and skills, workflows, agentic AI use, and overall performance.

ServiceNow and NVIDIA: AI Maturity in Manufacturing

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Manufacturing firms are pushing forward with AI. Many of the manufacturers in our recent study ramped up their AI spending over the past fiscal year, and 82% plan to do so in the next fiscal year. Nearly three out of five manufacturers rolled out 100 or more use cases last year. Still, AI is evolving faster than the ability of most manufacturers to deploy the technology effectively. In this report, we look at the state of AI usage in manufacturing and the practices and steps that will help companies succeed at AI.

To measure progress in AI transformation, we surveyed nearly 4,500 C-level and senior executives across 16 countries and 11 industries. The study reveals best practices and outcomes from a leading cohort of organizations driving exceptional value from AI—and to help you see how your organization compares, we’ve created a simple benchmarking tool that shows how you stack up across AI strategy, data governance, talent and skills, workflows, agentic AI use, and overall performance.

SoftwareOne: Driving business outcomes through cost-optimised innovation

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In today’s fast-paced digital world, innovation is a prime driver of business growth. For middle-market companies—those with revenues between $500 million and $5 billion—the stakes are especially high. Our research reveals that mid-sized companies are lagging larger competitors (over $5 billion in revenue), which have bigger budgets and greater management appetite for embracing innovation.

We looked at seven steps that these companies can take to turbocharge innovation.