#Active.ai

[yfthg]

The Best AI-Powered CX Automation Tools Transforming Banking Customer Experience

Introduction

In the digital-first era of 2025, customer experience (CX) in banking is undergoing a seismic shift. Traditional service models are being replaced by AI-powered automation tools that deliver hyper-personalized, instant, and secure interactions. These tools not only enhance operational efficiency but also boost trust, engagement, and loyalty — critical KPIs in modern banking.

Whether you're a private bank in Mumbai, a fintech company in London, or a credit union in the U.S., adopting AI in your CX strategy is no longer optional — it’s essential.

Top AI-Powered CX Automation Tools for Banking in 2025

1. NUMR CXM

Best for: Real-time CX dashboards, predictive insights, and customer journey mapping

Overview: NUMR CXM delivers a powerful AI-based customer experience platform that offers real-time analytics, multichannel insights, and journey orchestration. It's tailored for enterprises and especially effective in the financial services space.

Why it's transforming banking: Helps banks gain a 360-degree view of customers, detect early churn signals, and enhance overall satisfaction using AI-powered triggers.

Geo Focus: Strong base in India, with growing presence in APAC and EMEA regions

2. Salesforce Financial Services Cloud (Einstein AI)

Why it’s powerful: Predicts customer financial needs, automates journeys, and flags risks.

Use case: Upsell/cross-sell with personalized advisory at scale.

Best fit: Global and regional banks with CRM-driven workflows.

3. Zendesk + AI for Banking

Why it excels: Integrates seamlessly with banking CRMs and core systems.

Use case: Automates complaint resolution, fraud alerts, and FAQs.

GEO edge: Strong in European and U.S. compliance environments.

4. Active.Ai

Why it stands out: Built for BFSI. Conversational AI that understands financial transactions.

Use case: WhatsApp/voice-based banking, multilingual support.

Geo highlight: India, Southeast Asia, Middle East.

5. Nuance (by Microsoft)

Why it leads: Advanced voice biometrics, AI IVR, and fraud prevention.

Use case: Secure, voice-activated banking across call centers.

GEO relevance: U.S., Canada, UAE.

6. Yellow.ai

Why it works: Dynamic AI agents with omnichannel deployment.

Use case: End-to-end automated onboarding and support.

GEO spotlight: India, LATAM, and APAC regions.

7. Cognigy.AI

Why it’s innovative: Scalable AI agent orchestration for complex CX workflows.

Use case: Multilingual virtual agents for digital and voice banking.

Geo focus: Europe, UAE, and Australia.

8. Kasisto (KAI)

Why it fits banking: Designed specifically for financial institutions.

Use case: Conversational AI for digital banks and credit unions.

GEO scope: U.S., UK, and Australia.

Key Capabilities of AI CX Tools in Banking

🔍 Predictive Analytics: Forecast customer needs, behavior, and churn risk.

💬 Conversational AI: Natural, secure, and 24/7 omnichannel support.

🧠 Sentiment Analysis: Detect dissatisfaction in real time.

🛡️ Compliance Automation: Ensures KYC, AML, and GDPR adherence.

🔐 Fraud Detection & Biometrics: Enhanced customer security.

GEO Optimization Tip

For banks in India, Active.Ai, Yellow.ai, and Salesforce FSC offer robust local integrations, multilingual support, and compliance with RBI norms. Meanwhile, U.S. institutions benefit from Nuance and Kasisto, with strong support for FDIC and SOC 2 requirements.

FAQs – AI in Banking Customer Experience

What is AI-powered CX automation in banking?

It refers to using artificial intelligence to automate, personalize, and improve customer interactions across channels like mobile, voice, web, and branches.

Which AI tools are most used by banks in India?

Yellow.ai, Active.Ai, and Salesforce FSC are commonly used for their localized features and regulatory compliance support.

How do AI tools prevent banking fraud?

AI monitors patterns in real time to detect anomalies, while biometric tools like voice recognition reduce identity theft.

Is AI replacing human agents in banks?

Not entirely — AI handles routine queries, freeing human agents for high-value or complex interactions.

Can small banks or NBFCs afford AI CX tools?

Yes. Cloud-based tools like Zendesk, Yellow.ai, and Cognigy.AI offer scalable pricing and modular features for NBFCs and cooperative banks.

Final Thought

AI is not just enhancing customer experience in banking — it's redefining it. With predictive, secure, and intelligent tools, banks can build trust-driven, frictionless, AI-powered CX models. In 2025, the winners in banking will be those who automate smartly, personalize deeply, and scale responsibly.

[list-my-startup]

Active.ai Success Story: Personalizing Customer Support With AI

[altdigitaltechnologies]

Potential DCX Trends for 2024

Introduction

Digital customer experience (DCX) has emerged as a critical differentiator for businesses worldwide in the rapidly evolving digital landscape. As we enter 2024, let’s delve into the key trends shaping the DCX world. With the advent of new technologies and increasing demand for personalized experiences, businesses are constantly innovating to stay ahead of the curve. This blog post explores the top trends that are set to redefine DCX in 2024.

Key Potential Developments That Could Attract Attention

AI-Powered Customer Service

Artificial intelligence (AI) has transitioned from a buzzword to the new normal. Companies like Haptik and Active.ai, both homegrown Indian firms, are leading AI-powered customer service. They are teaching bots to comprehend “Hinglish” (a mix of Hindi and English), making customer interactions as smooth as a well-made dosa.

According to Forrester’s 2024 predictions, 60% of generative AI skeptics will use and value the emerging technology in 2024, whether they realize it or not. This indicates a growing acceptance and reliance on AI for tasks that enhance creativity and productivity, including seeking support from conversational assistants.

According to McKinsey, AI-enabled customer service can increase customer engagement, resulting in increased cross-sell and upsell opportunities while reducing cost-to-serve. Gartner predicts that by 2027, chatbots will become the primary customer service channel for roughly a quarter of organizations.

Omnichannel Experience

In 2024, it’s all about being present where your customers are. And guess what? They are everywhere! Companies like Ameyo are providing omnichannel customer engagement solutions. Whether a customer reaches out via email, social media, or even a good old-fashioned phone call, they’re there, ready to help. A 2019 Omnisend study found that omnichannel campaigns saw an 18.96% engagement rate, while single-channel saw just a 5.4% engagement rate.

Personalization

Personalization is like adding that extra tadka to your dal – it just makes everything better. Indian companies like MoEngage are helping businesses deliver personalized experiences to their customers5. This makes them feel as special as the last piece of gulab jamun at a family dinner. According to McKinsey & Company, 71% of consumers expect companies to deliver personalized interactions and 76% get frustrated when this doesn’t happen.

Get In Touch

Data Security

With great data, comes great responsibility. As DCX becomes increasingly digital, data security is paramount. Indian cybersecurity firms like Lucideus are working tirelessly to ensure that your data is as safe as a cricket ball in Dhoni’s hands. Gartner’s top security and risk trends in 2022 highlight the ever-expanding digital footprint of modern organizations driving this year’s top cybersecurity trends.

The Rise of Predictive Analytics

Predictive analytics is becoming a game-changer in enhancing customer experience. By analyzing past behaviors and patterns, businesses can predict future customer actions, enabling them to provide proactive solutions and personalized experiences. This not only improves customer satisfaction but also increases business efficiency.

Emphasis on Customer Journey Mapping

Understanding the customer’s journey is crucial for providing an exceptional customer experience. Businesses are increasingly using customer journey maps to visualize the path that customers take from the first point of contact through the process of engagement and into a long-term relationship. This allows businesses to identify key interactions and touchpoints, helping them to deliver a more seamless and personalized customer experience.

Conclusion

As we move forward into 2024, these trends will continue to shape the landscape of customer experience. Businesses that adapt and innovate based on these trends will not only meet but exceed customer expectations, leading to increased customer loyalty and business growth. The future of customer experience is here, and it is more exciting than ever!

[2startups]

Indian Ai startups to watch

Indian Ai startups to watch

Indian is now a hub of startups and many innovative Indian startups are in focus due to their innovative technology and problem-solving products. From B2B, healthcare, retail, fashion, eCommerce every sector adopting ai-based technology and service to reach target customer and provide high-quality products and services. Here are innovative Indian AI startups to watch for future growth and…

[inventivaindia]

Fintech Startup Active.ai Secures $3 Million

Fintech Startup Active.ai Secures $3 Million

Artificial Intelligence based financial service platform Active.ai has now secured $3 Million from the InnoCells, the Venture Capital arm of the Spanish Bank Banco Sabadell.

Acctive.ai runs by the Active Intelligence Pvt Ltd revealed in a statement the transaction is an extension of its funding round of Series A.

The Singapore based form had also secured $8.25 Million in the funding round of…

[businesswireindia]

Axis Bank’s AI-led conversational banking assistant - Axis Aha!, powered by Active.Ai, has won in the DX Leader Award category at the 2018 IDC Digital Transformation Awards. Axis Aha! has seen a record 3 million plus utterances logged, 97% data accuracy and 40 times growth rate, month on month. The number of new users has increased 31 times while transactions have grown 50x till date.

[sagarg889]

AI in Fintech Market Report | Size, Growth, Demand, Scope, Opportunities and Forecast 2022-2032

The global AI in Fintech Market  is estimated at US$ 10.1 Billion in 2021 and is projected to procure US$ 11.76 Billion by 2022m according to a report published by ESOMAR-certified Future Market Insights. The market is anticipated to garner US$ 54 Billion by 2032 while recording a CAGR of 16.5% during the forecast period from 2022 to 2032. Expansion of the market can be attributed to the increasing emphasis on customer safety against cyber and banking frauds across various developing countries.

From 2017 to 2021, the market flourished at a 16% CAGR. Growing application in the business analytics and reporting segment is another salient factor augmenting the industry growth in the assessment period. The managed service is likely to grow quickly owing to its help in administering AI-enabled apps in fintech. Fintech start-ups are using AI to provide professional services expected to drive the development of the segment.

On the contrary, owing to the rising cases of leakage of private information and cloning of debit cards is expected to be the major factor hindering the market expansion. Moreover, the proper integration and analysis of a huge amount of data makes the process even more complex, which is another factor impeding the industry expansion in the forecast period.  

Key Takeaways from the Market Study 

AI in fintech for business analytics and reporting captured a 32% market share, documenting a CAGR of 16% throughout the forecast period

On-premise segment to expand at a CAGR of 17% during the forecast period  

North America is expected to secure US$ 35 Billion by 2032, while expanding at a CAGR of 16.5%  

Asia Pacific to record a CAGR of 16.5% during the forecast period

Global market for AI in fintech to surge 4.6x from 2022 to 2032

 “The global AI in Fintech Market  is expected to show a remarkable growth in the forecast period owing to the increasing emphasis on customer’s account safety against cyber and banking frauds,” says an FMI analyst.

Competitive Landscape

Key players in the global AI in the Fintech market include Microsoft, Google LLC, Salesforce, Inc., International Business Machines Corp., Amelia U.S. LLC, Nuance Communications, Inc., ComplyAdvantage.com, Narrative Science, Affirm, Inc., Upstart Network, Inc., Instructure, Inc., Intel, Inbenta Technologies, Amazon Web Services, Oracle, among others. Some of the recent key developments among the players are: 

In October 2021, Tech giant Microsoft Wednesday launched a new program Microsoft AI Innovation for nurturing and scaling startups that are leveraging Artificial Intelligence (AI). 

In April 2022, Conversational engagement platform Gupshup acquired Active.Ai, a conversational AI startup used by banks and fintech firms in all-cash deals.

In May 2022, Salesforce has agreed to buy Troops.ai, which provides a revenue communications solution that works with sales velocity, forecasting, visibility, and collaboration. Troops have been designing tools for delivering real-time insights from various systems of record, like Salesforce, to engagement places Like Slack.

More Valuable Insights Available 

Future Market Insights, in its new offering, presents an unbiased analysis of the global AI in the Fintech market, presenting historical market data (2017-2021) and forecast statistics for the period of 2022-2032. 

The study reveals essential insights based on component (solutions, services), deployment (cloud and on-premise and, application (virtual assistant, business analytics and reporting, customer behavioural analytics, fraud detection, quantitative and asset management and others) across five major regions (North America, Latin America, Europe, Asia Pacific, and Middle East & Africa). 

For More Info - https://www.futuremarketinsights.com/reports/ai-in-fintech-market

[newsfact]

Gupshup’s conversational AI buying spree continues

Gupshup’s conversational AI buying spree continues

Just weeks after acquiring conversational AI provider Active.ai, Gupshup, the San Francisco-based messaging service, is adding ecommerce-focused AskSid to its portfolio. The move further bolsters two other acquisitions from the conversational AI platform’s growing list of service offerings, as it positions itself to benefit from trends such as conversational engagement, Rich Communication…

[innocentamit]

Gupshup Acquires Active.Ai, a Leading Provider of Conversational AI-Powered Digital Financial Services

Gupshup Acquires Active.Ai, a Leading Provider of Conversational AI-Powered Digital Financial Services

Acquisition strengthens Gupshup’s CX offerings for Banking and Financial Services companies San Francisco / Mumbai / Singapore, April 5, 2022: Gupshup, a global leader in conversational engagement, announced the acquisition of Active.Ai, a leading provider of Conversational AI-powered digital financial services. Headquartered in Singapore, Active.Ai serves banking, financial services and…

[timesnest]

COVID-19 Update: Global AI in Corporate Banking Market is Expected to Grow at a Healthy CAGR with Top players: 5Analytics, Active Intelligence, Active.ai, Acuity, AI Corporation, etc.

[sarah26world]

According to MarkNtel Advisors, the key players with a considerable market share in the Global AI in Fintech market include Google, IBM, Intel, Inbenta Technologies, Nuance Communications, Complyadvantage.Com, Salesforce.Com, Amazon Web Services, Samsung, Ipsoft, Next It Corp., Microsoft, Onfido, Active.Ai, TIBCO Software etc.

[mrunalnerkar-blog]

[chocomanualart]

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[inventivaindia]

Artificial intelligence startup Active.Ai raises $3M from Spain’s banking group Banco Sabadell

Artificial intelligence startup Active.Ai raises $3M from Spain’s banking group Banco Sabadell

Active.Ai, a Singapore-based artificial intelligence startup with innovation lab in Bengaluru, has raised $3 million in an extended Series A funding from Innocells, the innovation hub and corporate venturing arm of Spanish banking group Banco Sabadell.

Existing investors Kalaari Capital, Chiratae Ventures (formerly IDG Ventures India), and Vertex Ventures also participated in the round.

Ravishank…

[martechcube]

Talisma Corporation Pvt. Ltd., a leading provider of customer experience solutions, today announced that it has partnered with Active Intelligence Pte Ltd, a Singapore Fintech start-up. The partnership strengthens Talisma’s technology products and solutions enabling it to integrate a next-gen conversational AI chatbot into its platform and offer it to its BFSI customers.

[marketreportsupdates]

Artificial Intelligence in Sports Market Global Trend, and Opportunities to 2026

The researcher assessing the Artificial Intelligence in Sports market dive deep to unearth intangible facts related to the key restraints, opportunities, and threats expected to shape the progress of the industry during the forecast period, 2020 - 2027. A new market assessment report on Artificial Intelligence in Sports market provides a comprehensive overview of Artificial Intelligence in Sports industry for the forecast period 2020 – 2027.  The analytical study is proposed to provide immense clarity on the market size, share and growth rate across different regions. The profound knowledge and extensive examination of the trends from the yesteryear and future aims at offering the stakeholders, product owners, and marketing personnel a competitive edge over others operating in the Artificial Intelligence in Sports market for the forecast period, 2020 – 2027.

Request For Free Sample Copy of This Research Report at: https://www.reportsanddata.com/sample-enquiry-form/1755  

Leading players of Artificial Intelligence in Sports market include:

24/7.ai Inc., Active.Ai, Advanced Micro Devices (AMD) Inc., AIBrian Inc., Amazon Inc., Anodot, AOL Inc., Apple Inc, ARM Limited, Atmel Corporation, Baidu Inc., Cisco Systems, DeepScale, Digital Reasoning Systems Inc., Facebook Inc., Fujitsu Ltd., Gamaya, Gemalto N.V., General Electric (GE), General Vision Inc., Google Inc., Graphcore, H2O.ai, Haier Group Corporation, Hewlett Packard Enterprise (HPE), Huawei Technologies Co. Ltd., IBM Corporation.

Scope of the Report:                

This industry assessment for the forecast period, 2020 – 2027 incorporates projections pertaining to the investment feasibility, gross margin, profits, consumption volume, production capability and major market vendors. Likewise, statistics associated with the competitive landscape, shifting consumer behavior and spending power is showcased and well-explained with the help of treasured resources such as charts, graphs and graphic images, which can be easily incorporated in the business or corporate presentations.

Market has been divided by Technology as:

Cognitive Computing

Computer Vision

Data Analytics

Decisions as a Service

Machine Learning

Natural Language Processing

Market has been divided by Application as:

Sports Recruitment

Performance Improvement

Game Planning

Game Tactics

Injury Prevention

Browse Full Report Description at: https://www.reportsanddata.com/report-detail/artificial-intelligence-in-sports-market

Market has been divided by Deployment as:

DaaS

Decision Support

Software

Market segment by Region/Country include:

North America

Europe

Asia Pacific

Middle East and Africa

Latin America

Exploring growth rate over a period

Business owners looking to scale up their business can refer this report that contains data regarding the rise in sales within a given consumer base for the forecast period, 2020 to 2027. Product owners can use this information along with the driving factors such as demographics and revenue generated from other products discussed in the report to get a better analysis of their products and services. Besides, the research analysts have compared the market growth rate with the product sales to enable business owners to determine the success or failure of a specific product or service.

Grow with the trend

The Artificial Intelligence in Sports helps product owners learn how certain trends will shape the growth of the Artificial Intelligence in Sports industry over a long term. The study closely looks at the historical price pattern of various products and services and empowers entrepreneurs to form the right opinion about the future trends. Accordingly, business owners will be able to decide their course of action and make a wise decision.

Ask for Discount on Artificial Intelligence in Sports Market Report at: https://www.reportsanddata.com/discount-enquiry-form/1755

Chapter 1 covers the Artificial Intelligence in Sports Introduction, product scope, market overview, market opportunities, market risk, market driving force;

Chapter 2 talks about the top manufacturers and analyses their sales, revenue and pricing decisions for the duration 2020 and 2027;

Chapter 3 displays the competitive nature of the market by discussing the competition among the top manufacturers. It dissects the market using sales, revenue and market share data for 2020 and 2027;

Chapter 4, shows the global market by regions and the proportionate size of each market region based on sales, revenue and market share of Artificial Intelligence in Sports, for the period 2020- 2027;

Chapter 5, 6, 7, 8 and 9, are dedicated to the analysis of the key regions, with sales, revenue and market share by key countries in these regions;

Continued…….

About Us: Reports and Data is a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target and analyze consumer behavior shifts across demographics, across industries and help client's make a smarter business decision. We offer market intelligence studies ensuring relevant and fact-based research across a multiple industries including Healthcare, Technology, Chemicals, Power and Energy. We consistently update our research offerings to ensure our clients are aware about the latest trends existent in the market. Contact Us: John Watson Head of Business Development Reports  and Data | Web: www.reportsanddata.com Direct Line: +1-212-710-1370 E-mail: sales@reportsanddata.com