Bridging the language gap with SalesPanda SIA: The next era of financial inclusion
India is a diverse nation, and one of the challenges we still come across today is financial inclusivity. The rapid advancements in artificial intelligence give the ability to empower inclusive growth and bridge socio-economic gaps, especially in the underserved areas.
Research shows that the digital divide aggravates and widens social and economic inequalities and hinders inclusive development. Artificial intelligence can be a revolutionary differentiator and solution to close the financial inclusion gap in tier 2, 3 and rural areas where credit access and financial literacy are limited.
One of the strongest use cases of AI can be its capability to assist in local languages, enabling people to become less dependent on intermediaries and achieve digital financial independence and awareness in their preferred languages.
How is SalesPanda helping to bridge this gap?
Over the years, working with the financial services and insurance companies to digitally empower their channels, we know that agents, distributors and partner networks play a vital role in building trust among clients and business growth. Hence, we widened our digital transformation umbrella by adding artificial intelligence and introduced an AI assistant for the sellers and partners that’s capable of communicating in over 22 Indian languages.
SalesPanda SIA goes beyond traditional automation; it is a Smart Investment and Insurance Advisor. It can help agents, distributors, partners and sellers prospect better, pitch smarter, resolve queries faster, and provide multilingual support.
What needs are we trying to address with SIA that weren’t traditionally feasible?
1. Expanding market access- Tier 2 and Tier 3 markets contribute to nearly 40% of India’s GDP. With advancements in technology, the rise of new-age startups, and business growth in these cities, they are demonstrating significant potential and opportunities for development. Hence, these small towns and cities have become crucial for the goal of Viksit Bharat by 2047.
With an increase in internet penetration, the financial services sector can reach its customer base in these cities. It can increase the sales of its products and services by leveraging the reach of its partners and sellers. It can enable them with information and tools enhanced by artificial intelligence- and that’s exactly what we are aiming with SalesPanda SIA.
2. Bridging the language gap- Another big differentiator is the language; India has a diverse linguistic landscape, presenting both opportunities and challenges for these financial services and insurance products. Trust plays a big part in buying decisions, and it is fostered through effective communication, especially when conducted in a language that resonates with the potential customer base. English is not a widely spoken or understood language.
NSE report suggests, over the past years, Tier 2 and 3 cities have increased their Assets Under Management by 13%, which indicates a growing appetite for investment products among the new class of retail investors. However, this growth gets constrained by a language barrier, as most products or services are offered primarily in English or, at best, Hindi. SIA can help bridge this gap by assisting in over 22 Indian languages, including Marathi, Kannada, Tamil, Odia, etc., strengthening communication, products, and service offerings in the language they speak, preferably understand.
3. Personalised sales pitches- To increase customer acquisition, satisfaction and retention, artificial intelligence can be an important value-add. It allows financial services and insurance companies to create personalised marketing strategies, resulting in increased customer engagement and satisfaction. For example, with SalesPanda SIA, sellers or partners can tell about a customer, their demographic and requirements, and it can recommend to them the products which they can pitch to their customers in their language.
4. Document search & retrieval- Manually going from folder to folder or drive to drive and finding relevant documents can be a time-consuming process. But this can be easily simplified with the help of artificial intelligence. Traditional keyword-based searches often fail to find relevant information if the wording is slightly different. AI-powered semantic search overcomes this by understanding the meaning rather than relying solely on keywords. Its capabilities are better in finding and suggesting relevant documents and information you might be looking for. A tool like SalesPanda SIA can do it with ease. MFDs, advisors, sellers, or partners can just send their queries as voice and text to find relevant documents or information quickly.
5. Personalising communication- It speaks directly to the individuals, and the capabilities to do it at scale can give a competitive edge to any communication. AI can leverage a customer’s past behaviour and demography and predict or suggest what may interest them. Unlike traditional personalisation, AI personalisation can continuously learn and improve, helping create a more dynamic customer experience and maximise customer engagement across channels.
How will SIA create an impact and add value?
SalesPanda SIA is a vernacular voice-based AI assistant for financial advisors, agents, sellers and partners in the insurance and financial services sector. It aims to bridge the language gap, strengthen communication, and build stronger customer relations using artificial intelligence.
The platform caters to five key areas- query resolution, sales pitches, document retrieval, outreach personalisation and multilingual support.
India has millions of financial advisors, agents and sellers operating in Tier 2,3, and 4 markets. They understand their clients and their needs, but what they may lack is the instant and reliable access to product knowledge in the language their clients speak.
What SalesPanda SIA does differently?
1. Built to speak the language of the people. Most sales enablement tools are built for English-literate users. SIA is vernacular and voice-based, designed for sellers and agents who think and sell in Hindi, Tamil, Bengali and more. It meets agents where they are.
2. Helps keep the conversation going during the meeting. A seller sitting across in a meeting with the prospect doesn’t have the time to call the manager or search for PDFs. SIA gives you an instant answer to product queries, so the client doesn’t lose confidence.
3. It is trained to handle the complexity of financial and insurance products with logic. Get suggestions for plans, KYC processes, claim processes, and anything you train it on. The domain depth is what separates us from others.
4. It reduces dependency on centralised training. SIA acts as an always-on knowledge layer where any seller or agent can get easy onboarding and retraining, whether they joined months ago or days ago. They get access to the same quality of product knowledge.
SalesPanda SIA empowers agents and sellers to be well-informed, regardless of tenure, language or location.
Frequently Asked Questions
Q.1 How is SIA different from a generic AI tool or chatbot?
SIA is trained on BFSI-specific product knowledge, insurance plans, mutual fund products, eligibility rules, compliance requirements and more. A generic AI tool is not. The domain depth is what makes it safe and reliable in a regulated sector.
Q.2 Does SIA support multiple languages and voices?
Yes. SIA is a voice-first AI assistant and supports over 22 Indian languages, such as Marathi, Tamil, Hindi, Telugu and more. Partners can use their voice to ask questions, no typing or English required.
Q.3 How does SIA reduce mis-selling risk?
All the product training data is compliance-approved and verified, not from informal sources. This removes significant compliance risk and reduces mis-selling risk.
Q.4 What can I ask SIA?
Based on the training, SIA can answer queries related to products, plan comparisons, fund options, KYC requirements, pitch guidance and more.
Q.5 How long is the implementation process?
The implementation process isn’t long, depending on the complexity of the product, training and integration requirements. We can discuss a phased rollout approach.
