Why Generative AI Is Reshaping Financial Services

Financial services is one of the industries that has been an early adopter of automation and analytics. Generative AI or GenAI accelerates this trajectory by enabling systems that can understand language, synthesize information, and take contextual action.

The WEF report further highlights how BFSI sector can benefit from advanced technology:

• 32–39% of work across banking, insurance, and capital markets has high potential for automation
• 34–37% of work can be augmented using AI
• AI investments in financial services are projected to grow from $35B (2023) to $97B by 2027

What’s changing now is where the value is coming from. Early AI efforts focused on efficiency and cost reduction. Today, businesses are shifting toward:

• Revenue growth through personalization
• Faster, better decision-making
• Intelligent customer engagement
• Proactive risk and fraud management

As a leading Generative AI Development company, Mobcoder’s strategy reflects this shift from backend optimization to end-to-end transformation.

Mobcoder’s Approach of Generative AI Development Services in Finance Sector

We don’t just start with model building. We start with understanding context.

Financial services operate in one of the most regulated, risk-sensitive environments. Our Gen AI deployment strategy is designed to balance innovation, compliance, and trust in this highly regulated industry. Our simple yet effective plan of action include:

1. Start with High-Impact, Low-Regret Use Cases

Many organizations feel overwhelmed when they first come to know about the AI possibilities. Experts at Mobcoder helps clients simplify AI and prioritize use cases that:

• Solve real operational or customer problems
• Deliver measurable value early
• Can scale safely across the enterprise

Common starting points in a financial company include:

• Customer support augmentation
• Intelligent document processing
• Risk assessment and underwriting support
• Internal knowledge assistants for employees

This mirrors a key insight, which is also supported in the report: early success builds confidence and unlocks long-term investment.

2. Build on a Strong Data and Governance Foundation

The dependability for Generative AI models will be only as good as the data on which the model is based. The quality and privacy of data are non-negotiable in the finance industry.

We assist businesses in the process to:

• Organize and clean internal data sets
• Describe access controls and audit trails
• Make AI processes more aligned with the work of the compliance and risk teams

We often use the architecture of “retrieval augmented generation” or RAG, where the system can generate answers based on approved internal documentation, like policies, procedures, or product information, instead of using general knowledge of the model.

It increases accuracy, explainability, and regulatory compliance.

3. Choose the Right Models for the Right Jobs

Not every problem needs a large, general-purpose model.

Inspired by trends, which are also outlined in the WEF paper, Mobcoder increasingly works with:

• Small language models (SLMs) for focused, high-accuracy tasks
• Domain-tuned models for finance-specific language and workflows
• Hybrid approaches that balance performance, cost, and control

This allows financial institutions to move faster while maintaining reliability and cost efficiency.

4. Move from Assistive AI to Agentic AI

One of the most transformative shifts highlighted in the report is the rise of AI agents in banking: systems that don’t just respond, but act.

Mobcoder designs agentic AI systems that can:

• Process customer or employee requests
• Trigger workflows across systems
• Escalate decisions to humans when thresholds are crossed

In financial services, this is done with guardrails:

• Clear decision boundaries
• Human-in-the-loop approvals
• Continuous monitoring for drift or anomalies

The result is faster service and smarter operations, without sacrificing control.

5. Integrate AI into Existing Financial Ecosystems

AI delivers value only when it fits into real workflows.

Mobcoder integrates Generative AI development services into:

• Core banking and payment systems
• CRM and customer service platforms
• Risk, compliance, and reporting tools

This enables real-time insights, consistent experiences, and seamless adoption by teams, rather than standalone tools that never get used.

Source: Accenture (2023) A new era of generative AI for everyone

Where We See the Most Impact Today

Drawing from both the WEF findings and our client work, we see Generative AI creating strong impact in:

• Customer engagement: AI assistants that personalize responses, support agents, and operate 24/7
• Risk and fraud: Faster detection of anomalies, better scoring, fewer false positives
• Compliance and reporting: Automated document analysis and regulatory reporting support
• Product and revenue growth: Smarter segmentation, targeted offers, and mass-affluent advisory models

These are not theoretical benefits, they are practical improvements that compound over time.

AI Use Cases Across Financial Services

Responsible AI Is Not Optional - It’s a Necessity

The WEF report is clear: misinformation, deepfakes, data privacy, and bias are among the most significant risks facing financial services.

Mobcoder is one of the top Generative AI companies that treats responsible AI as a core design principle in every project we do and not leave it as an afterthought. Our deployments include:

• Explainability and traceability
• Bias testing and performance monitoring
• Secure model hosting and data handling
• Ongoing governance aligned with evolving regulations

This allows organizations to innovate with confidence, even as regulatory landscapes continue to evolve.

Looking Ahead

The financial industry is being disrupted by generative AI at a pace that has been driven by no other innovation in the past. The institutions will grow that proceed with a deliberate approach in AI development, striking a balance between ambition and discipline.

As a relevant Generative AI development company, Mobcoder assists the financial industry in:

• Determine where the value of AI lies
• Implement systems that are secure, scalable, and compliant
• Develop from experiment-based AI capabilities to ‘long-term’ AI capabilities

The future of the financial services industry is going to be AI-driven, and this future is going to be built by those who are experts in this.

Speak to our experts, and receive a blueprint on creating a sustainable and AI-friendly financial business.