The top AI consultancies with experience in financial services are Neurons Lab, Accenture, PwC, BCG, Deloitte, Brainpool AI, QuantumBlack, Infosys, AI Superior, and SiriusAI.

These leading AI consulting firms have proven expertise in applying artificial intelligence (AI) in financial services, including banking, insurance, and capital markets use cases.

The consultancies listed here fall into two categories: large-scale and boutique-style. Some excel at full-scale digital transformation programs that include AI solutions. Others bring specialized AI expertise that integrates with the regulatory, security, and infrastructure demands of financial services. A few firms combine both approaches. 

This guide outlines large-scale global consultancies and boutique AI-native firms, with specific insights on their suitability for financial services leaders.

Top large-scale AI consulting agencies with financial experience

The following firms have global reach and established practices in financial services. 

Accenture

Operating in more than 120 countries, Accenture serves various industries, including banking and insurance. Its AI solutions cover enterprise strategy, data foundations, and workforce enablement. One example of their financial experience is helping NatWest integrate AI capabilities¹. 

For financial institutions, Accenture can help with enterprise-wide deployment and the ability to scale AI programs across multiple business units, supporting digital banking transformation and AI implementation at scale.

Deloitte

Deloitte combines audit, consulting, and risk management with AI adoption services. It helps set up AI frameworks, compliance, and analytics modernization. The firm specializes in banking, capital markets, insurance, investment, and private equity². Deloitte is valued for balancing innovation with governance, especially in regulated use cases like risk modeling³ or customer onboarding.

QuantumBlack

McKinsey’s QuantumBlack unit integrates AI into strategy and operations. The firm is known for sector-specific research and detailed transformation roadmaps. 

In financial services, McKinsey links AI adoption directly to growth or efficiency targets across lending, asset management,⁴ and compliance. It has proven AI experience in banking⁵ and insurance⁶.

PwC

PwC combines technology implementation with deep risk and regulatory expertise. Its AI services focus on data strategy, responsible AI, and transformation planning. Banks and insurers engage PwC when the primary concern is compliance and audit-readiness alongside AI deployment.

BCG

BCG brings its 10-20-70 transformation approach, focusing on strategy and governance first, then scaling through adoption programs. The firm is known for responsible AI frameworks and process redesign⁷. Financial firms engage BCG when they need a structured methodology to build executive alignment and roll out AI incrementally.

Infosys

Infosys provides digital and AI consulting with a global engineering base⁸. It offers predictive, generative, and agentic AI solutions, as well as human-centered design. Financial institutions turn to Infosys for its AI development that integrates with legacy infrastructure.

Best boutique AI consultancies with financial experience

Boutique firms bring AI-exclusive expertise and faster delivery cycles. They are often a better choice for financial institutions that want to move beyond pilots. These firms focus on delivering production-ready AI in specific domains.

Neurons Lab

Headquartered in London and Singapore, Neurons Lab is AI-exclusive, with deep experience in financial services⁹. This AI consultancy firm focuses on frontline AI solutions for FSI-specific customer services, revenue and growth, as well as backend solutions, such as intelligent document processing and compliance automation. Clients include PrivatBank, Visa, and AXA. 

Neurons Lab is among the top boutique AI consultancies for financial services, especially for mid-sized to enterprise financial institutions that need custom, compliant systems beyond proof-of-concept. 

Brainpool AI

Brainpool AI connects clients with a global network of AI researchers and engineers.¹⁰ It specializes in custom solutions for specific business problems. Financial firms benefit when they need to realize specific use cases, like automated due diligence, risk management and fraud detection¹¹.

AI Superior

AI Superior is a Germany-based software development and AI consultancy company founded in 2019 with a strong focus on financial services. It helps institutions deploy AI for risk analysis, customer engagement, and operational efficiency.¹² 

Known for practical implementation, AI Superior delivers tailored solutions that align with financial sector regulations and data governance requirements.

SiriusAI

SiriusAI is a boutique AI consultancy and solutions provider with a focus on financial services. It offers tailored AI strategy and implementation services including data engineering, predictive modeling, and AI operations.¹³

The firm helps banks and insurers embed AI across workflows through structured, pragmatic programs designed to go beyond pilot projects.

Comparison of the top AI consultancies with experience in financial services

How to choose the best AI consultancy for your financial institution

Choosing the best AI consultancy for financial services depends on your needs. It might be digital banking innovation, AI-driven underwriting, or intelligent automation in risk and compliance. When evaluating a consulting partner, focus on four factors:

1. Proof of moving from pilot to production. Ask for case studies where the firm scaled AI from prototypes into production within regulated environments.
2. Industry expertise. Prioritize partners with demonstrated success in banking, insurance, or wealth management, not just general digital transformation.
3. Technical foundation. Ensure the firm brings data infrastructure expertise to integrate AI with legacy platforms and regulatory systems, enabling scalable AI adoption and production-ready AI systems.
4. Knowledge transfer. Select partners that co-create with your teams and provide training so AI capabilities stay in-house long term.

Frequently asked questions about AI consultancies in financial services

1. What should financial institutions look for in an AI consultancy?

Look for proven experience in regulated industries, successful pilot-to-production cases, and integration with legacy systems. Also check whether the firm delivers SaaS platforms, which are fast to deploy but less flexible, or custom AI solutions, which are more tailored and compliance-ready.

2. How do boutique AI consultancies differ from large firms?

Boutique AI consultancies often offer deeper technical expertise, faster turnaround times, and custom solutions for specific financial use cases like risk scoring and credit underwriting. In contrast, large firms like Deloitte or Accenture may provide broader digital transformation services, including AI strategy, governance, and global scaling and bring partnerships with SaaS vendors for off-the-shelf solutions. 

3. Can AI consulting firms help with compliance and audit readiness?

Yes, many AI consultancies—especially those experienced in financial services—offer solutions designed to meet regulatory requirements. Firms like PwC, Neurons Lab and Deloitte specialize in aligning AI implementation with risk management, governance, and audit trails, making them ideal for compliance-heavy environments like banking and insurance.

4. Are there AI consultancies that specialize in banking-specific applications?

Yes, several AI firms focus on banking and related domains. For example, Neurons Lab and AI Superior offer AI-powered compliance automation, KYC, fraud detection, and risk modeling tailored for banks. These use cases are critical for digital banking and regulatory adherence.

5. How much does it cost to hire an AI consultancy for financial services?

Costs vary by scope, firm size, and region. SaaS platforms usually mean subscription-based fees with lower upfront costs, while consultancies with custom solutions require higher investment but offer more control and regulatory alignment. A best practice is to request a proposal aligned with your specific AI use case and budget.

6. When should I hire an AI firm to support with AI projects in FSI

Hiring an AI firm is necessary in a variety of scenarios. This includes when you’ve done a proof of concept (POC) but need support going to the next stage, already tried to implement AI but failed, or when you need additional technical support or expertise. It’s also necessary when you want to focus on a specific use case but don’t currently have the in-house knowledge to follow through.