BY INDUSTRY

Finance/Banking

As a dynamic, competitive, highly regulated, and data driven industry, Financial Institutions have significant opportunities around leveraging AI and Generative AI. The AI and GenAI solutions for financial services require a combination of human and artificial intelligence building on digital transformation and automation processes. In order to optimize sustainable business value, best practices suggest that these solutions are led by business teams, not technology teams.

AI Challenges for Finance/Banking

Most financial services leaders can benefit from unlocking the value of large data sets by strategically leveraging AI/GenAI, but are challenged by the inability to utilize AI solutions fast, securely, and at scale because:

  1. Most of the existing approaches to AI utilize “black-box”, or third party models, that can not be trusted, monitored or improved by business teams. 
  2. The internal data science efforts cannot efficiently scale for speed, volume, and dozens of solutions business teams want for decision support.
  3. Business teams often operate in silos and integrating AI-powered decisions into that environment deepens the silos and their dangers. 
  4. Making sure that the AI solutions are compliant is almost impossible given the continuously changing business and compliance requirements. 

TAZI Solutions and Platform: Business Driven, Fast, Reliable

TAZI’s Out-Of-The-Box (OOTB) Solutions, created on top of its Responsible and Adaptive AI Platform, help leaders in finance determine the feasibility and return on investment (ROI) for their organization. Business Analysts configure, deploy, monitor, and update solutions enabling business leaders to own and drive their AI solutions according to their departments’ and company’s evolving business needs.

Customer Data is Protected:

  1. utilizing local (on-prem) models within the company’s firewall, 
  2. user management and monitoring, 
  3. continuous documentation of data, models, their performance and results and
  4. monitoring by both business analysts and business leaders 

TAZI’s Fit in Finance/Banking

TAZI leverages AI and GenAI to maximize ideal customer retention and demand, streamline operations, and enhance risk assessment. 

By integrating AI into daily operations, financial institutions can improve the speed and quality of their decision-making, reduce operational costs, and improve customer satisfaction.

Retail Banking

TAZI is ideal for customer-centric retail banks that aim to lead in personalized customer experiences. 

Our Solutions help banks understand clients more holistically: predict client needs and friction points to offer more timely and relevant services, and products. 

Commercial Banking

With TAZI, commercial banks automate complex processes of managing client relations, risk, and operations.  

Our Solutions increase operational efficiencies, reduce costs, and increase compliance in customer and risk management.

Wealth Management

TAZI helps wealth management institutions retain more clients in spite of fluctuating behavioral patterns.

Our Solutions adapt to shifting patterns and evolving client behavior as they help wealth management institutions serve with better products and service.

Fintech

Fintech companies leverage TAZI to deliver AI products faster. 

Our Platform speeds time to market and lowers the barrier of needed AI expertise helping fintechs compete more effectively in the rapidly evolving AI market.

TAZI Solution Packages for Retention, Demand and Fraud

Instead of utilizing a single model, or solution, we have packaged solutions that you can utilize based on your unique point in time and goals at your business.

Trusted by these innovative companies

References

See Results in 40 days

Easy to Use

TAZI can be used by business users who don’t have data science training, such as business analyst or a C-level executive.

Time to value

TAZI provides explanations to business users on data, models and results, business users can take actions or update data or models based on what they see.

Adaptive

TAZI models can learn in while they are in production, they adapt to changes in data and reducing errors, IT&data science MLOps efforts and cloud computing costs.

Business-Focused

TAZI is highly focused on business outcome and ROI of AI predictions.

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