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Home » New research highlights the varied levels of AI development in the financial services sector.
AI in Finance

New research highlights the varied levels of AI development in the financial services sector.

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Joseph Twigg – CEO of Aveni

Joseph Twigg – CEO of Aveni

Aveni’s Report on AI in Financial Services

Aveni has recently launched Transformation Nation: The Shift in AI Innovation in Financial Services, a comprehensive thought leadership report that delves into the practical adoption of artificial intelligence (AI) within the UK financial sector.

Understanding AI Adoption in Regulated Environments

Drawing on insights from senior leaders in wealth management, life insurance, and consulting, the report investigates the current landscape of AI usage in regulated operations. It highlights the areas where AI is delivering real benefits while also identifying the significant challenges that companies face.

Current Maturity Levels of AI Implementation

While interest in AI technology is rapidly growing across the financial sector, the report indicates that maturity levels are inconsistent. Several companies have already experienced tangible productivity improvements through the implementation of early use cases in quality assurance, documentation, and workflow automation. However, significant hurdles remain in the safe and sustainable development of AI.

Key Challenges Identified

Governance, explainability, data quality, regulatory compliance, and cultural readiness frequently emerge as the primary constraints hindering progress. Aveni conducted its research to address these critical issues and gather perspectives from key decision-makers in the industry.

Insights from Industry Leaders

According to Joseph Twigg, CEO of Aveni, “AI is now at the heart of discussions about the future of financial services, but there remains a substantial gap between ambition and readiness.” Twigg emphasizes the importance of focusing on effective AI management rather than succumbing to trends or marketing hype.

The Evolving Role of AI in Financial Services

The report reveals a notable shift in executives’ priorities towards AI, which is now regarded as a core functionality that shapes operating models, advisor workflows, and client engagement rather than merely an add-on feature. However, executives note that success won’t arise from isolated pilot projects; rather, it necessitates redesigning processes and strengthening cooperation among companies, technology providers, and regulators.

Looking Ahead: The Future of AI in Finance

As the financial industry stands on the brink of transformation over the next 12-18 months, the report predicts the emergence of finance-specific AI models and the initial adoption of agent-based systems. This development will require greater scrutiny, particularly in insurance and risk management, as regulatory expectations evolve.

For a deeper exploration of AI innovation trends in financial services, Transformation Nation: The Shift in AI Innovation in Financial Services is available here.

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New research highlights the varied levels of AI development in the financial services sector.

January 22, 2026

Imkon Ventures invests over $9 million in early education and fintech startups in Uzbekistan.

January 22, 2026

Datarails obtains $70 million to grow its AI funding platform.

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