The question is no longer, “Can we use AI?” but rather, “How do we scale it safely, prove its value, and maintain control?”

Our latest report preview, Beyond the Pilot: The Future of AI in Finance 2026 Preview, showcases the insights into these questions, offering a roadmap for financial institutions to move from experimentation to execution. The full report will be packed with insights, practical guidance, and real-world examples, the report is essential reading for leaders looking to harness AI’s transformative potential while navigating its challenges.

Access the preview of the full report today and to explore how AI is redefining finance and discover actionable strategies to stay ahead in this rapidly evolving landscape.

From Point Solutions to Platform Capability

AI in finance is evolving from isolated use cases to enterprise-wide platforms. The differentiator is no longer access to advanced models but the ability to operationalize AI effectively. Success hinges on integration, governance, adoption, and measurable outcomes.

The full report identifies five key themes shaping the future of AI in finance:

1. Integration & Deployment: Embedding AI into the Enterprise

AI is being operationalized across the financial services ecosystem, from core banking systems to customer contact centers. But deploying AI isn’t just about installing tools—it’s about redesigning processes to embed AI into day-to-day workflows.

Leading institutions are investing in data readiness, cross-functional teams, and orchestrated infrastructure to ensure AI systems are trustworthy, explainable, and interoperable. The ability to integrate AI into existing workflows while maintaining control, traceability, and business relevance is the hallmark of maturity.

To learn more about how financial leaders are embedding AI into their operations, access Beyond the Pilot: The Future of AI in Finance 2026 Preview to see what the full report will cover.

2. ROI & Value Realisation: Moving Beyond Pilots

Proving ROI remains one of the sector’s greatest challenges. Many financial institutions are stuck in pilot purgatory, unable to scale AI due to unclear metrics, limited business buy-in, or siloed ownership.

The full report highlights a shift from model-first to outcome-first thinking. Value is no longer defined solely by model performance but by how AI improves efficiency, reduces risk, or enhances customer satisfaction. Agile experimentation, clear KPIs, and business-aligned frameworks are critical to unlocking AI’s full potential.

Key Insight: 65% of data leaders in Europe have transitioned fewer than half of their AI pilots to production, underscoring the need for clearer ROI frameworks.

Discover how to build a pragmatic approach to ROI in Beyond the Pilot: The Future of AI in Finance 2026.

3. Human Adoption & Mindset: Building Trust and Skills

AI success is as much a cultural challenge as a technical one. Resistance to change, mistrust in opaque models, and fear of job displacement continue to slow adoption. Financial institutions must position AI as an augmentation tool rather than a replacement, investing in education, transparency, and co-design.

Empowering employees to understand, challenge, and refine AI outputs fosters trust and accelerates adoption. Organisations that build AI-literate workforces and encourage cross-functional collaboration are already seeing stronger returns.

Workforce Sentiment: While 87% of business leaders believe AI will replace some jobs, only 36% of employees view AI as an opportunity, highlighting the need for robust change management.

Learn how to foster an AI-ready culture in Beyond the Pilot: The Future of AI in Finance 2026 Preview.

4. Governance, Compliance & Regulation: Scaling Safely

In a highly regulated sector like finance, AI must be auditable, explainable, and aligned with evolving compliance frameworks. From the EU AI Act to UK FCA guidance and GDPR, financial institutions face a complex web of regulatory expectations.

The full report outlines how leading firms are embedding governance into every layer of AI, from model design to deployment and monitoring. This includes model risk management (MRM), explainability overlays, audit-ready documentation, and oversight committees. Far from slowing innovation, these measures enable safer, more scalable AI.

Compliance by Default: 75% of UK financial services firms are already using AI in core activities like credit assessments and insurance claims, making robust governance a design requirement.

Explore how to build compliance-ready AI systems in Beyond the Pilot: The Future of AI in Finance 2026 Preview.

5. Generative AI & Hallucinations: Managing Risk

Generative AI (GenAI) is reshaping finance, offering new capabilities in areas like customer service, fraud detection, and personalised recommendations. However, GenAI’s ability to fabricate responses—known as hallucination—poses significant risks in high-stakes environments.

The full report highlights how firms are mitigating these risks by grounding models in curated data, using retrieval-augmented generation (RAG), and maintaining human-in-the-loop review. GenAI is powerful, but it requires tight controls, clear boundaries, and domain-specific tuning to deliver reliable results.

Learn how to manage GenAI risks effectively in Beyond the Pilot: The Future of AI in Finance 2026 Preview.

What You’ll Find in the Full Report

Beyond the Pilot: The Future of AI in Finance 2026 offers practical guidance for financial services organisations, including:

• Operationalising AI: How leading firms are embedding AI into workflows across service, operations, risk, and compliance.
• ROI Frameworks: Baselines, KPIs, and governance strategies to measure and scale AI’s impact.
• Compliance by Design: What regulators expect and how to build audit-ready documentation.
• Human Adoption: Strategies to build trust, skills, and incentives for AI adoption.
• GenAI Risk Management: Best practices for controlling hallucinations, grounding models, and monitoring outputs.

Can your models explain themselves? Can your people trust them? And is the ROI real, or just theoretical?

The Future of AI in Finance Starts Here

AI is no longer a future ambition for financial services—it’s a present reality. But scaling AI safely, proving its value, and maintaining control require more than technology. They demand a strategic approach that integrates governance, culture, and measurable outcomes.

Beyond the Pilot: The Future of AI in Finance 2026 Preview is your guide to navigating this complex landscape. Packed with insights, data visualisations, and actionable strategies, it’s a must-read for financial leaders ready to move from potential to performance.

Access the preview report today and take the next step in your AI journey.