January 2024

Businesses across industries are leveraging emerging technologies such as Artificial Intelligence and machine learning to power sales, marketing, customer service, HR, and operations. In fact, banking is one of the top industries to embrace Chatbots in recent years to streamline operations and enhance the customer experience. Banking chatbots are AI-powered virtual assistants that can understand customer requests, resolve their queries, and execute transactions. Chatbots are software programs that have in-built machine learning algorithms and can process natural language prompts to automate the relationship between a customer and a bank. GirikSMS Salesforce Chatbot developed by Girikon Inc, a Salesforce Development Partner, help banking institutions streamline operations, scale customer service, reduce costs, and improve customer satisfaction. In this article, we will explain what GirikSMS can do for banks and their customers and how bot-driven automation can benefit banking institutions in several ways. Chatbots are cost-efficient. Bots allow you to scale operations quickly without the associated costs of additional manpower. The era of mobile banking. Customers today prefer digital first and the need for on-demand mobile banking is increasing across all age groups. GirikSMS Salesforce Chatbots are available 24/7 and can be easily integrated into mobile banking apps to offer immediate resolution of customer queries. Customers prefer text. Most smartphone users are well versed with popular messaging apps such as WhatsApp, Slack, and SMS, using these channels for daily interaction with friends, family, and even businesses. Text conversations over these apps are now the preferred choice for most users. GirikSMS ChatGpt Empowered Salesforce Chatbot uses the power of conversational AI to interact with customers over these popular messaging apps and channels ushering in a new era of digital services. Here’s a look at some of the use cases where GirikSMS APP can help banking institutions automate their day-to-day operations to enhance the customer experience. 1. Onboarding new customers New customers can rely on GirikSMSChatbot for onboarding activities such as: Uploading all required documents and validating them. Sending agreements for review and sending reminders to complete the documentation. Setting up a new account and providing a guided tour of available products and services Downloading and exploring the banking app on users’ mobile phones. GirikSMS ChatGPT Empowered Chatbot can also be used to collect feedback from new customers about the onboarding process for detailed analysis and ongoing improvement. 2. Provide 24/7 customer service GirikSMS Chatbot can be extremely useful in customer service operations. They can resolve routine customer queries quickly and enable banks to scale 24/7 support to customers. They can answer commonly asked questions and provide accurate answers to customer queries quickly without any wait times. Not just that, customers can also modify account information such as an address, all within the chat conversation. 3. Transactions GirikSMS Salesforce Chatbots can help customers perform banking transactions such as fund transfers or opening a deposit account. GirikSMS is native to Salesforce. So, if a user types the name of a beneficiary to do a fund transfer, the bot can look up the receiver’s account in the CRM and execute the transaction. Some of the other transactions that GirikSMS Salesforce SMS App can help customers with are: Report a missing/damaged card. Report an unauthorized transaction. Change account passwords. Modify account limits or apply for higher limits. Apply for account upgrades like more privileges. Apply for a loan. 4. Providing financial advice GirikSMS  Chatbot can be virtual financial assistants. Based on the customers’ income and spending habits they can recommend saving plans, tax tips, and recommend best-fit banking products. 5. Cross-selling Banks offer a range of products and services such as insurance, loans, mortgages, wealth management, etc. GirikSMS Salesforce Chatbots leverage CRM data and analyze past customer interactions across multiple channels to make intelligent recommendations about new products that may be relevant to them. 6. Preventing fraud GirikSMS Salesforce Chatbots record all interactions with users in the CRM and can use natural language understanding capabilities to detect suspicious behavior to alert agents to take prompt and appropriate action. Data from chatbot conversations can be used to identify patterns and train the chatbot. 7. Onboarding new recruits GirikSMS Salesforce Chatbots can be used to assist new employees by: Answering their queries about the company’s policies. Providing access via interactive menus to onboarding material such as documents, presentations, charts, photos, or videos. Setting up IT accounts and assisting them with system walkthroughs and privileges. GirikSMS Salesforce Chatbots can also train employees on several aspects of customer communication and engagement. 8. Assisting in internal operations GirikSMS Salesforce Chatbots can also act as virtual assistants for banking personnel by providing them with quick answers when dealing with customers. They can answer questions related to Policies and regulations. Products and services offered. Intelligent forecasts on customers based on their account status. GirikSMS Chatbots for Salesforce can also help streamline internal operations by sharing documents across team members and facilitating reporting and evaluation processes. 9. Omnichannel availability Customers today prefer digital first. And they engage with brands on multiple channels such as websites, mobile apps, social media, and messenger apps. GirikSMS Chatbot for Salesforce can be easily integrated across all popular channels ensuring that you are available to them 24/7 regardless of where they are. While the above use cases can be a game-changer for banks, it is also important to follow certain best practices to make the most of this disruptive technology offering. Here is our list of 5 best practices for implementing Chatbots. 1. Understand the limitations and challenges of Chatbots Work with your Salesforce partner to have a thorough assessment of the capabilities and limitations of AI Chatbots to set the right expectations. 2. Protect user data Banking institutions must secure and protect the data and information gathered by Chatbots.  Giving confidence to customers that their data is secure with you builds trust and loyalty. 3. Secure transactions Chatbots, especially customer support ones open up opportunities for hackers and fraudsters. You must ensure that all transactions and interactions over bot conversations are encrypted and secure. 4. Create specialized chatbots Banking offers many use cases for deploying Chatbots such as lead generation, sales, and customer service. Start with a simple use case and deploy chatbots in phases. 5. Test extensively An erroneous chatbot can lead to frustrated customers. Test and train your chatbot extensively before going live. As Salesforce expands its boundaries to integrate the disruptive technology of conversational AI and adds more functionality into its platform, you need the support of a Gold Salesforce Consulting Partner like Girikon to unlock its true power. Connect with one of our experts today to learn more about how you can harness the power of GirikSMS Chatbots for Salesforce.

As an IT manager, you would have handled several rollouts and migrations, streamlined legacy systems, and upgraded cybersecurity. And now AI is staring you in the face. How ready are you to build AI apps that your business needs? Do you have in-house skills to build and deploy AI apps? Whether you are building a customer service app or a marketing app, you can adopt a systematic approach to going about it. Here are 5 key steps to building effective AI apps for your organization. 1. Define exactly what you want from your app before starting to build one Businesses across industries have started to embrace the disruptive technology of AI for their everyday operations. Your competitors are likely deploying AI chatbots to provide 24/7 automated, intelligent, customer service. But before you start investing time and resources in building AI apps, you need to answer some key questions. What is the problem you’re trying to solve? Talk with your business’s leaders. Do you want to boost sales? Improve customer satisfaction score?  As a starting step, clearly define use cases. Next, define the desired end state for each use case. This will help you estimate how much effort is required, who to involve, and whether you have adequate resources. What are your competitors doing? Understand what your competitors are doing with their AI tools and for whom. And how can you innovate further on those ideas? And of course, you need to answer one important question – can you build AI apps in-house? Do you have the necessary skills and experience in your team to do this? Based on the use cases you have identified, will you require generative or predictive AI If you don’t have the skills internally like Machine Learning and Natural Language Processing, look for partners and ISVs for solutions and do a thorough comparison of their offers and capabilities. 2. Define the perimeter for ethics and security As an IT manager, security, privacy, and accuracy are not alien to you. But AI amplifies the challenges and raises many risks such as bias and toxicity. AI bias: Negative bias can be caused by algorithm error based on human prejudices or false assumptions. The consequence is an AI tool that works in unintended ways. Generative AI can propagate outputs based on errors and further amplify the problem. Toxicity: Abusive language and hurtful comments can appear in AI-generated outputs. Researchers have found that assuming certain personas can amplify the toxicity of the response. Before you start building your AI app, define trust and ethics parameters. Trusted AI should be empowering, and inclusive apart from being responsible and transparent. 3. Good data is the foundation of effective AI apps If you are building generative AI apps, your machine learning models will train on the data that is fed to them. AI machine learning models train on all kinds of data. And that data needs to be clean and free of redundancy. The more data your LLMs can be trained on, the better will be the output of your AI. 4. Choose the right technology for your AI app The technology you select for building your AI depends to a certain extent on your use case. If your app summarizes text, processes language, or a knowledge base, you will need an LLM. Over time, as the LLM learns more about your business and its data, it can make logical interpretations and draw conclusions. Building your own learning model can be expensive. You will need to hire data scientists and engineers with expertise in ML and NLP. While it is a lengthy cycle, if you do decide to take this route, once your team is ready you can take the help of libraries and toolkits and integrate them into your development. Generative AI platforms and libraries ML and DL platforms: Amazon SageMaker and Google Vertex AI have built-in libraries and tools to train your AI model and support multiple programming languages. NLP toolkits: If you are building chatbots or virtual assistants, SpaCy is a great NLP toolkit for Python enthusiasts. OpenAI allows you to customize their GPTs for your apps. Deep learning libraries: If you want to build apps for speech or image recognition, you can look at a deep learning library to find a framework for building, training, and deploying your apps. Open-source libraries such as PyTorch and MXNet can be used in combination depending on your use case. Computer vision libraries: If you want your app to analyze images or video, you can use open-source libraries such as OpenCV and TensorFlow. PyTorch is another option that can be helpful. Building AI apps with CRM data If you want to build customer-interfacing apps, you will need to leverage your customer data. And without all your data in one place, that’s hard to do. You need an enterprise-grade CRM like Salesforce to make your AI app work best for you. You can connect AI models to Salesforce Data Cloud without running into a wall. With the Model Builder (erstwhile called Einstein Studio), you can bring your own model into Salesforce. 5. Build AI apps and start deploying In a recent developers’ survey conducted by Salesforce, it was found that 70% of developers use or intend to use AI for development. The biggest benefit developers see is reduced development cycles. Try AI for code generation Whether you use AI or not for code generation, you can reduce development time with the Einstein 1 platform for Salesforce. Einstein for Developers understands natural language prompts to write code in seconds. The more precise your prompt, the better will be the quality of the code generated. Once the code is generated you can accept, revise, or reject it. Einstein for Developers uses a customized Large Language Model based on the open-source CodeGen AI model from Salesforce. Use an IDE to accelerate development A web-based integrated development environment (IDE) allows your teams to work from anywhere, anytime. You can modify and debug code and maintain source control in one place.  Code Builder, the new IDE from Salesforce is preloaded with frameworks, has built-in integration with Git, and is free for admins and developers. Salesforce also allows you to integrate other IDEs with it. Follow App Lifecycle Management and DevOps practices Building and launching great AI apps need solid processes across stages of app development, along with collaborative tools for developers, data scientists, testers, and project managers. Salesforce has inbuilt AI tools like Einstein for Developers and Prompt Builder to come to your aid. DevOps Center, available on the Einstein 1 platform, can help you to maintain version control, track changes and push your build for UAT and production. If you prefer working with your own tools for IDE, project management, and DevOps, you can bring them into the Salesforce environment. Connect with an AI expert today. With over a decade of experience as a Salesforce Consulting Partner, our experts are always available to guide you through the process and answer any questions you might have regarding the potential of AI in your business.

In the rapidly evolving business environment, it is essential for companies to utilize state-of-the-art technology to stay competitive. Nowadays, forward-thinking businesses are incorporating artificial intelligence (AI) into their operations, particularly through the adoption of customer relationship management (CRM) software, to automate and enhance their CRM processes. Salesforce, a leading CRM platform, has consistently been a pioneer in innovation, especially in the realm of artificial intelligence (AI). Notably, Salesforce AI has transformed the way organizations handle their customer service processes. The integration of Salesforce and AI is more than just an augmentation. It has indeed opened new avenues in Customer Relationship Management (CRM). Rather, it offers a smarter, efficient, and a highly custom-made customer interaction. To know more about Salesforce AI integration, businesses should consider partnering with a reliable Salesforce consulting partner. Salesforce and Generative AI: A Dynamic Relationship As a cloud-based platform, Salesforce is highly customizable and configurable and can be leveraged by organizations to meet their unique business needs by tailoring their services. By leveraging tools like Salesforce Flow, users can automate intricate business processes, create agile service experiences, while streamlining data management. The next phase of transformation will involve incorporating the capabilities of generative AI into a versatile platform using Einstein GPT. This integration holds the potential to transform the way businesses function and engage with their customers How to Leverage AI to Improve Customer Service? Listed below are ways how AI can help businesses provide better service to their customers:  Improved Customization: Utilizing AI will empower businesses to deliver personalized experiences by harnessing customer data and their preferences. This will pave way for tailored recommendations, quick support, and a deeper comprehension of customer requirements. Unified Omnichannel Support: AI-driven chatbots can integrate easily with several communication channels such social media, web chat and more. This guarantees uniform interactions across several platforms, offering customers a unified experience. Intelligent Automation: AI can be leveraged to automate repetitive and mundane tasks thereby saving a lot of time that can be used up by human agents to focus on more complex and strategic activities. This will boost productivity, quicken response times, and optimize cost for businesses. Sustained Learning and Development: AI systems will keep gathering insights from customer interactions, feedback, and real-time data, which in turn will foster continuous improvement. This continuing improvement will yield more precise responses, intelligent recommendations, and enhanced overall performance. What are the benefits of AI in customer service? AI in customer service offers several benefits that can improve the overall customer experience and streamline business operations. Some of the crucial advantages include: Increased Productivity: Leading IT players believe that AI can be adopted by organizations to serve their customers in a better way. Research conducted reveal that access to AI assistants and tools can increase productivity for support agents significantly.  Increased Efficiency: Carrying out tasks manually can be burdensome for service agents. This includes tasks such as navigating between different systems to access customer history, searching for relevant informative articles, sending field staffs to service locations, and manually inputting responses. These manual processes are usually prone to errors as they are executed by humans. The integration of AI in customer service can provide intelligent suggestions to service workers drawn from knowledge bases, and customer data. A more Personalized Interaction: When a customer interacts with a chatbot, artificial intelligence (AI) has the capability to retrieve vital details, such as the name of customer, location, account type, and language preferred. If the inquiry demands the involvement of a field service technician, AI can promptly convey all relevant information to the technician, allowing them to deliver tailored service as soon as they arrive on-site. Less Exhaustion and Enhanced Morale: AI empowers agents to do away with monotonous, time-intensive tasks, enabling them to focus on tasks that demand creative thinking, problem-solving, and intricate critical thinking. These activities significantly impact the overall customer experience. Consequently, it shouldn’t come as surprise that majority of IT leaders anticipate that generative AI will alleviate workload of teams, while reducing burnout. Scalability: AI systems can simultaneously handle a huge rush of customer queries making it simpler for businesses to scale their customer service operations without consistently increasing staffing levels. A Practical Service Experience: AI has the capability to draw information from contracts of customers, warranties, buying history, and marketing data. This ensures the identification of optimal actions for agents to pursue with customers, even post the conclusion of the service engagement. The future of AI in Customer Service: The future AI seems to be quite promising in the customer service industry. In the years to come, artificial intelligence is poised to gain prominence in workplaces given the ongoing advancements in technologies such as machine learning and natural language processing (NLP). Besides handling routine tasks, these AI programs will offer significant insights into consumer behaviors and habits through big data analysis. Organizations can utilize this valuable data to optimize their return on investment in marketing strategies and branding initiatives. As technology evolves, AI is set to play a key role in uplifting customer experiences and boosting operational efficiency. Final Words: The fusion of AI and Salesforce is reshaping the CRM terrain, presenting matchless possibilities for organizations to elevate both their customer relationships, as well as their operational efficiencies. This integration when leveraged by businesses enables them to position themselves at the frontline of technological advancement, ensuring they stay competitive and in agreement to the ever-changing needs of their customers. In doing so, organizations can provide value to customers and stakeholders while future-proofing their operations in this quickly evolving digital era. Organizations should consider availing Salesforce implementation services if they wish to make the most of the integration of Salesforce and AI.