June 2023

Generative Artificial Intelligence (Generative AI) is the latest next generation technology. Generative AI tools have made it very easy for employees and professionals to compose and refine emails, fine tune presentations and reports, write code, put together social media campaigns, and fast track customer service interactions. But not everyone is able to maximize its full potential. More often than not it comes down to the prompt, the statements or questions you feed into a Generative AI tool. The better your prompts, the better will be the Generative AI response. The key takeaway If you want to get the most out of Generative AI and the generative pre-trained transformer (GPT) models that generate conversational language, you might want to get your hands dirty in prompt engineering. This gives the Generative AI model clearer details for what you want instead of being ambiguous. Generative AI is getting smarter as you read this, but it cannot read your mind. It can only give you responses based on its understanding of the prompt you give it. So be specific. GPT works better when the prompt is longer. The prompt, which is the question you are asking the tool, needs to be precise and contextual for it to generate the right response. And that’s the key to unlocking the full potential of Generative AI. What you need to know When writing a prompt, approach the tool like you’re having a normal day to day conversation with a colleague. Use clear language and descriptions.  The devil is in the detail. The Generative AI tools will work better for you if your prompts are precise and detailed. You can have an interactive conversation with your Generative AI tool and dive deeper into what you’re looking for. These following tips would be helpful when writing prompts for Generative AI: Write clearly and concisely so your Generative AI tool understands your specific request. Write linguistically correct, complete sentences with descriptive words, that clearly describes what you’re looking for. For precise responses, ask specific questions, and avoid questions that offer a yes/no response. Add context to your prompt. Explain what is it that you wish to achieve and define your target audience. Engage in a back-and-forth conversation. Follow up the initial response with further questions to go deeper and get even more specific and relevant responses.  What is prompt engineering? Prompt engineering is the art of asking clear, descriptive questions or providing detailed information to Generative AI tools, such as a GPT tool or chatbot, to fetch the best results. With the meteoric rise in adoption of Generative AI tools for personal as well as business use, effective prompt engineering skills can help you improve the efficacy of these generative AI tools. The more specific and descriptive your prompt, the better the AI generated results. And you can get creative like you would ask an expert of the subject of your enquiry. For instance, you can even ask the Generative AI tool to reply as someone well known, like Isaac Newton, to get a response from that individual’s point of view. Generative AI uncovers information from piles of data available on the internet. However, narrowing down your query by providing specific questions or instructions in your prompt and adding context will deliver better results. So get creative. Whether you are an expert prompt engineer or a novice in generative AI, it would be prudent to follow these 6 tips mentioned below to get the most from this disruptive technology. Be specific: For example, instead of writing, “Create a social media campaign,” which is a very generic instruction, you can write, “Create a social media campaign for an ecommerce website that sells sports apparel for tennis fans of Roger Federer and Rafael Nadal.” Engage conversationally: Generative AI may not understand localized dialect or colloquial language. Imagine you are speaking to a co-worker, not a computer. Use open-ended questions: Avoid question with binary responses like a yes/no response.  These prompts limit the Generative AI’s ability to surface detailed, contextual information. Set a persona: Get creative. Ask the Generative AI tool to give answers from the point of view of a public figure (past or present) like Isaac Newton or Christine Amanpour depending on the subject you want to ask about. In fact, you can even define a specific role for specific answers like an operations manager or lawyer.   Define your audience and channel: Specify in your prompt whether you are writing for millennials or GenX. Specify where the audience is going to read it – such as on a social media platform, a blog post, or on website. Ask follow-up questions: The beauty of Generative AI is that you can engage in a back-and-forth conversation with it while maintaining context. It’s akin to speaking with a human. Except that it’s not. If you are not happy with the initial response, you can ask follow-up questions to get more specific responses. This technique is sometimes referred to as “prompt chaining,” where you split your prompts sequentially to get more specific and tailored answers and use answers from one prompt to draw out the next. Use prompt engineering effectively for Generative AI products to work with you and not against you Generative AI tools are new and evolving as you read this. They are not perfect and they’re definitely not human. They are designed to make you feel like you’re having a conversation with a human on the other side, but in reality, it’s a back-and-forth with a computer that has access to heaps of data. Keep these points in mind during your Generative AI prompt writing and subsequent usage of the responses: Generative AI is not always factual. Sometimes it makes up answers, so ensure that you verify what you get. Avoid any copyright infringements. Ensure that what your Generative AI tool gives you isn’t plagiarized from somewhere. Generative AI tools do not understand nuance, local dialects and subtlety. They are not from your neighbourhood. Ensure that your prompts are as specific and clear as possible. Generative AI is not always completely accurate. It’s a fundamental reality of this technology and as a user you need to ensure that you verify any factual data or information before publishing it. Generative AI is already creating a revolution in CRM applications. Girikon is a Certified Salesforce Implementation Partner with a global delivery model. To know more about how Generative AI can work for you, connect with an expert today.

Digital transformation is not a goal post. It’s a continuous journey involving the evolution of people and processes. Here are some of the steps you could take to transform your business digitally and advance your business growth. How can you advance transformation in an hour? Do your homework. Education is the first step to empowerment. Study about organizations that have had a successful digital transformation. There are many great case studies to explore. Comb your network and identify someone that you might know at a senior level who was part of the digital transformation at one of these companies. Schedule a time for a discussion to pick their brain. In fact, do one better. Become a customer of these businesses if you are not one already. Use their app, social media pages or other digital touchpoints to get a first-hand experience of what they have created and how they deliver the customer experience. Get conversational. For most people, the phrase digital transformation can seem ambiguous. It’s a broad term and a discussion on it may revolve around technology, business models, and emerging trends. Businesses are embracing new technologies to reinvent how they work, to connect with customers, and to innovate. It would be prudent to invest an hour in reading the latest about how business leaders see the future of work, navigating through change, and the impact of technology on the economy from renowned publications and organizations such as the World Economic Forum. Identify a champion. Even before COVID19, many digital transformation initiatives did not work out. In fact, some of them failed miserably. And this evidence became immediately tied to digitization without clearly defined purpose, outcomes, or ROI. Avoid these pitfalls by identifying a champion for your digital transformation, be it the CTO or someone else, who can own and drive the change from the very start. They should have clear and to the point discussions with all business units about what digital transformation implies and what they will get out of it. And while you identify that champion, also come up with a responsibility matrix for cross-functional overlap and ownership. How can you advance transformation in one quarter? Run an innovation pilot. Choose a customer journey that you recognize must be digitized. Put together a small cross-functional team (take the help of an external consultant if required) and throw them the gauntlet. Ask them to build a digital journey prototype in three or four iterations. Hand over this pilot to real customers to do a test drive to demonstrate what’s possible. Automate a single business process. A simpler way to imagine digital transformation is through automation of a business process. Put together a cross functional team to use collaboration and workflow tools, for instance Salesforce Slack, to streamline or redesign a business process that is manual, repetitive and causes pain for your team today. For instance, scheduling meetings with team members spread across multiple time zones can be a difficult task. If a technology tool can help teams collaborate asynchronously, it may free up meetings stacked up in your calendar and free up staff inboxes. This improves work efficiency, augments capacity, and enables better coordination between your teams. Identify the gaps. More often than not, business leaders don’t know what data they have access to, or where it lies. Spend time to get a complete view of data across the entire organization. Don’t just ask the senior management. Ask your peers and subordinates. The further down you go in hierarchy, the more likelihood of finding honest answers. To measure the digital transformation you seek to bring to the organization, you need to understand the true picture of all data. How can you advance transformation in a year? Renovate one business function. Whether it’s making your supply chain more visible by integrating the Internet of Things (IoT) and blockchain technology or if it’s renovating your data systems to support better production planning and analysis. Choose one key business function and rebuild it digitally from ground up. Set challenging goals, timelines and identify measurable criteria, and use objectives and key metrics to drive effort and outcomes. Create a roadmap. Do achieve the desired outcome from your digital transformation, your vision and plan require critical inputs from customers and employees, to establish how technology innovation can help you meet their expectations. Eventually, driving innovation requires a great deal of perseverance built on a powerful foundation of data, tools, and skills. And digital transformation is not just the implementation of technology. It also necessitates changes in user behavior, and for that a fresh perspective may be necessary. So, don’t attempt this digital journey alone. Collaborate with technology agencies, systems integrators, consultants, and independent software vendors that can help you throughout your digital transformation journey with strategic planning, change management support, implementation best practices, training and upgrades. Reimagine your relationships. On the other side of digital transformation lies relationship transformation. Define how you want an ideal customer and employee relationship to be, and then guide the transformation. The following questions would guide you along the journey: How have the operational and technology changes impacted your relationships with your customers? How can you improve staff efficiency? How can you ensure staff wellness? What are the areas of improvement? What are the areas of friction? What are the new ways to add value to customers and employees? Study other companies. Not just the ones in your industry, but across the business landscape. Everyone has customers, identify who is delivering the best customer experiences. Learn from them and bring those learnings on board. Re-imagine the way you use data. Static dashboards are a thing of the past. Instead, explore using real time data in meetings, driving the discussion with dynamic data. Augment your internal communications with data-driven insights and be transparent. Include the uncertainties these data reveal. Ensure all employees have comprehensive training on data fluency and measure the training objectives at the end of the training as a key business objective. Promote a culture of making data driven decisions. Be aware of when your employees can’t make decisions because data isn’t available, and work diligently to fill those gaps quickly. Girikon is a Gold Salesforce Consulting Partner. We have worked with businesses across the globe and delivered success for over a decade. To know more about how Digital Transformation can benefit your business, contact an expert today.

Global Digital Skills Index from Salesforce research conducted in 2022 indicates a growing digital skills crisis. The in-depth research about digital skills is based on a survey with 23,000+ respondents (existing and prospective workers) across 19 countries. It includes areas such as their impact on the future of work, their job readiness concerns, and the importance of continuous up-skilling.

COVID has changed the way we live. Today, we spend most of our time online, looking for products and services. For marketing professionals, this translates into a great opportunity to stay connected with their audience in today’s pandemic context. But there is a catch. Customers are overwhelmed with digital information, and they are interacting with brands across multiple channels with so many options available. Which means not every interaction is attracting engagement. Today, engaging with customers is a whole new ball game. It requires faster and precise decision making about what needs to be communicated, how it needs to be communicated, when and where. The need of the hour is to deliver relevant messaging that conveys a deep understanding of the customer context. AI-driven solutions, with their ability to make intelligent recommendations, can help marketing teams make the right decisions, in quick time. They can also help marketing teams to launch contextual campaigns with personalised communication with their audience, achieving better engagement levels and enhanced customer experiences. So what exactly is AI Marketing? AI marketing is based on technology that uses machine learning algorithms to make automated decisions based on data aggregation and its analysis, along with analysing market trends and data that may impact marketing initiatives. Typically, AI technology is used in digital marketing activities where speed is critical. AI-powered marketing solutions use data to understand the best fit ways to communicate with your audience, and deliver personalised messaging at the right time, on the right channel without intervention from marketers, thereby ensuring a high level of efficiency. Digital marketers across the world today use AI to augment the efficacy of their efforts or to perform more complex tasks that would otherwise consume huge amount of time or resources. Here’s a look at how AI-powered solutions are transforming the marketing game: 1.  Smarter segmentation for enhanced audience discovery Understanding the customer is the foundation of today’s digital marketing strategy. AI-powered solutions can intelligently segment your audience. By scouring hundreds of data points across multiple marketing campaigns, AI-powered solutions can help marketers discover new sub-segments. Let’s look at an example. An outdoor hiking gear brand has an audience segment of “trekkers”. AI reveals to marketers that there are two categories in this segment – leisure trekkers and tech-savvy trekkers. With these insights, they customize their product recommendations based on the segment they are targeting. For example, leisure trekkers are shown apparel and accessories, and tech-savvy trekkers are shown the latest navigation devices or solar chargers. Identifying the right segment helps marketing teams deliver hyper-personalised marketing messages. Marketing solutions powered by AI technology can reveal unique customer traits within a segment. This can then be used by marketers to customize the marketing content and drive more engaging interactions. 2.  Accurate predictions to improve lead conversion Before the digital revolution, marketers relied on their experience and “gut-feel” to arrive at marketing decisions. AI-powered marketing solutions eliminate the guesswork by surfacing accurate, data-driven predictions and recommendations. These predictions allow marketing teams to personalise every customer journey and improving lead conversion through the marketing funnel. Let’s look at Einstein Engagement Scoring. This AI-powered feature of Marketing Cloud applies machine learning algorithms on customer data to arrive at a score for a company's email subscribers. The score tell you how likely each subscriber is to engage with your email campaigns, and eventually, to convert. The feature can also tell you the likelihood of each subscriber opening an email, click the links within the email body, or to un-subscribe. Marketers can use these AI powered predictions to build more tailored customer journeys. For instance, customers with a low likelihood of opening emails can be targeted through social media and mobile messaging. 3.  Personalised messaging across channels to drive engagement AI algorithms can use data such as browsing history, age, and recent interaction history with a brand to serve up a campaign landing page that is most likely to resonate with the subscriber. The same applies in advertising. The algorithm can use that data and serve up the right content for an ad in real time based on the user’s profile. This allows marketing teams run tailored ad campaigns that are relevant and better targeted at users, thus boosting ROI. With the evolution of technology, today’s AI-powered marketing solutions can be further targeted to help marketing teams deliver just the right amount of content. For example, Marketing Cloud Einstein has a feature called Engagement Frequency. It tells you the just the right number of emails to send out to customers and prospects for brand recall without being perceived as spam. Likewise, it also tells you which subscribers are being left out or being contacted too often. Based on this intelligence, marketing teams can customize their messaging strategy for improved customer engagement. In fact, AI-powered solutions can also tell you if a social media strategy would be a better bet than an email marketing campaign. Customers value the experience as much as the product and service, and brands will need to deliver personalised messaging across channels to stay ahead of the curve. AI can take your marketing team's understanding of your customers to the next level. Conclusion Marketing teams across industries are rapidly adopting intelligent technology solutions to improve overall operational efficiency and the customer experience and drive growth. This need for customer intelligence has ushered in a new era of Artificial Intelligence (AI) marketing solutions. With these AI-powered marketing solutions, marketing teams can get a deeper and nuanced understanding of their audience. The AI-powered insights can help marketing teams to drive conversions at scale. Regardless of the size of your marketing team, AI-powered marketing technology can help improve productivity, boost ROI, improve organizational efficiency, all while processing heaps of data your team may not have the bandwidth to deal with. If you are new to AI, even your first small step into AI-marketing like using a machine learning program to draft an email subject line and a greeting for your upcoming marketing campaign, can keep your brand ahead of the curve. It’s a small but significant step towards an AI-powered future. As a Gold Salesforce Consulting Partner, Girikon is in a great position to help you leverage the powerful technology of the World’s No1 CRM platform. To know more about how your marketing teams can use Einstein for Marketing Cloud to deliver personalised, contextual marketing campaigns, contact us today.

Imagine a scenario where a customer calls customer support only to navigate through multiple options and then being put on hold for several minutes before getting through to an agent. Only to be put on hold again as they look for answers to your problem. We’ve all had to deal with this at some point. And this is only half the story. Imagine being asked the same question over a hundred times a day by different customers. And not knowing answers to most of those questions. That’s what customer service teams have to deal with on a daily basis. In a world of fickle customer loyalty, how do businesses deliver excellent customer service? Disruptive technology like Artificial Intelligence (AI) may have the answer. Let us look at 10 ways in which AI can enhance the customer experience. 1. Chatbots Customer service reps today have to deal with a large number of calls on any given day. And on top of that there’s performance pressure to reduce the average resolution time. Enter Chatbots. Not only can chatbots provide quick answers in real-time, they can also reduce the case load on human agents by resolving common customer queries quickly. 2. Cost reduction Chatbots can help businesses trim customer service costs significantly by accelerating response times, freeing up agents to work on more complex cases, and resolving a very high % of routine customer queries automatically. A great example of this is call automation, which combines machine learning and voice recognition to augment existing IVR systems while delivering a significant cost reduction as compared to human agent assisted set ups. 3. Round-the-clock support Customers want service delivered at the time and on the channel of their choice. Businesses must be available at all times to customers to support them. Automated customer service makes that possible. It allows enterprises to deliver 24/7 customer service and resolve cases as soon as they come to light. This means customers don’t have to wait for long periods for a response. Prompt case resolution improves customer satisfaction and builds trust, loyalty and brand reputation. 4. Improved human interactions with customers AI can play a key role in supporting human interactions with customers. Two of the most common ways in which AI is supporting customer service is through AI-driven messaging and email tagging. AI-driven messaging allows service reps to handle a big chunk of cases with chatbot assistants. With AI-driven email tagging, service reps don’t have to read every customer email. AI-powered tools can scan and tag emails, and direct them to the right inbox. This frees up time for service reps so they can work on more complex tasks that necessitate human intervention. 5. Personalized experiences According to Salesforce, 72% of customers want to be able to solve service issues by themselves. AI technology can play a significant role in enabling customers to find what they are looking for more efficiently. AI analyzes customer data and key metrics, and makes intelligent recommendations on products or services to customers.  AI is always working in the background, analyzing every incoming piece of data, and suggests best fit content to customers. AI enables service reps to have a better understanding of customers, so they can send relevant content to them at the right time on their preferred channel. As a result, customers are able to find what they are looking for without having to call customer service. 6. Gathering data AI-powered technology simplifies data aggregation and serves a unified customer snapshot. Earlier, AI relied on existing customer data that was fed manually. Today however, things are far more advanced. Today’s AI-powered solutions proactively request data automatically. They can easily analyze patterns in behaviour, understand customer sentiment and quickly respond to their needs. 7. Predictive insights It is critical for businesses to deliver engaging and personalised experiences to customers.  AI powered personalization makes it easy for businesses to serve up tailored products or services to customers. Many businesses around the world that have integrated AI technology into their systems to deliver relevant information to customer, have seen significant improvement in their customer satisfaction scores. This improves brand reputation and builds loyalty. 8. Deeper insights from customer data In the early days, data mining was tedious and time-consuming. Today with AI-powered tools and solutions, huge amounts of data can be captured and analysed faster than ever, to get deeper customer insight, opening up new market segments and opportunities for brands. With AI, businesses can capture every customer action, uncover their interests, and apply these insights to drive targeted campaigns. AI can help businesses get faster results, get deeper insight, and eliminate human error and bias. And freed up human resources can be utilized for more complex tasks. 9. Assisting customers to drive decision making In today’s COVID 19 context, customers spend a lot more time online. They engage with brands across devices, and personalization across every touchpoint becomes all the more critical to assist customers in making the right decision. AI-powered assistants respond to customer queries in real time, and with a deeper insight on customers, are able to serve up intelligent recommendations to accelerate decision making. This frees up agent time and they can focus on more pressing tasks. In case of service requests when the conversation between a chatbot and a customer becomes complex, the interactions is automatically handed over to a human agent with a snapshot of the entire interaction history. AI powered solutions can sense behaviour patterns based on which they can make smart predictions. 10. Simplified task management One huge advantage of customer service chatbots is that you need only one chatbot to handle literally thousands of concurrent customers. Imagine the amount of agent time that can be freed up to resolve routine issues like serving up expected delivery date of a product they ordered or when is their insurance renewal due. This has transformed the relationship between brands and customers. How many times have you hung up on the customer support line because you lost your patience wating for an answer? And how many times have your support calls been left unresolved? You are not alone. Brands around the world are proactively investigating the use of AI into their business to interact directly with customers. While human agents can get overwhelmed performing tasks when they have to deal with mountains of data, AI can deliver answers without breaking a sweat. AI can easily sift through piles of data, analyzing, searching and serving up relevant information to customers in real time. AI can analyze unstructured data at lightning speed, something a human cannot do. AI analyses data and identifies patterns, which can be easily overlooked by a human. AI has in-built Natural Language Processing (NLP) capability. It can read a support ticket and instantly direct it to the right team. Customers are growing increasingly digital today.  It is becoming imperative for businesses to integrate AI into their existing systems to acquire new customers and retain them, at scale. AI has the potential to take the customer experience to whole new level. By making the customer journey more engaging, it can help you stay a step ahead of your competition. And it also eases the lives of service reps. In many ways they are the flag bearers of your brand. Automated responses, personalization, case routing, data analysis and intelligent recommendations, predictive insights, case prioritization are some of the things AI can do without breaking a sweat.   As a Gold Salesforce Consulting Partner, Girikon has been helping organizations around the world leverage the world’s most powerful CRM platform to drive productivity and growth. We recognise that improved efficiency and quality of your customer support will lead to happier customers. To know more about how AI can help your customer service teams improve your CSAT scores, contact us today.

Customers are very demanding today, primarily because of the options available to them. When they reach out to a brand for support, they expect minimal wait times and fast resolution, regardless of the channel they use. Agents, however, have limited bandwidth and can only handle a limited number of cases at a time. So how does one scale customer support? Enter chatbots. But what exactly is a chatbot? That’s a significant question considering the fact that this technology is increasingly becoming a bigger part of our daily lives.  In fact, Gartner research predicts that soon the average person will spend more time interacting with chatbots than with their spouse. With round-the-clock digital support becoming a critical value proposition for brands, more and more businesses are using chatbots to engage with customers to deliver the SLA expected of them. At a technical level, a chatbot (derived from “chat robot”) is a piece of code (program) that simulates human interaction through text or voice communication. Today, chatbots can be customised and used in multiple ways such as: Chatbots that interact through smart speakers Chatbots deployed on smart home devices Chatbots that can be deployed on popular messaging platforms and web In addition to having a conversation with a service agent, customers can now interact with an intelligent software that helps them to find answers fast. Whether through text or voice, chatbots can communicate with customers and respond to requests faster. To put it simply, Chatbots are Artificial Intelligence (AI) powered digital assistants that answer common customer questions. They help customers quickly resolve simple and routine issues freeing up agent time to work on more complex issues that require human interactions. How does one create customer service chatbots Customer service chatbots resolve simple, repetitive tasks that don’t require interacting with a human customer service agent. For instance, if a customer wants to know how to reset a password or the estimated delivery time for a product they ordered, a customer service chatbot quickly accesses the relevant information and answers the question without keeping the customer waiting at the other end. And while this is happening, your service agents can focus on resolving more complex customer issues and build stronger customer relationships. If you are looking to invest in chatbot technology, your first goal is to establish the most common customer requests to identify what to automate. We suggest the following six tips that you should keep in mind when designing your first AI-powered chatbot: 1. Personalise every greeting Customer service agents are trained to be warm, greet customers by name, and recognise their service privilege status. A chatbot can do the same thing in the background, powered by AI. Chatbots can be programmed to retrieve their name to ensure chatbots greet them like a human agent would. 2. Move from static to conversational Customers hate the idea of filling out an online form and then having to wait for 12 -24 hours for a response. An AI powered service chatbot can dynamically ask a series of relevant questions based on customer inputs and make the interaction more engaging. It also helps resolve the customer issues faster. And in the case where agent intervention is necessary, they will already have all the relevant information logged by the chatbot available in their panel. 3. Create interactive FAQs Traditionally, customers are prompted to visit the FAQ section of a website or app to resolve issues in a self-service mode. Chatbots turn this process around its head. They bring the FAQ answers to customers. You can stack your common FAQs and their answers into your AI interface, including all related questions and their answers.  And with natural language processing (NLP) capability built into the AI engine, chatbots recognise everyday use language and respond to customer queries. Now your customers can find what they are looking for faster than before. 4. Deploy chatbots to additional channels Businesses today deploy customer service across multiple digital channels such as web, messaging, and social allowing customers to connect with your brand in the way they want.  Salesforce research indicates that an average customer today uses nine different channels to interact with brands. This variety of options creates multiple opportunities to deliver 360-degree customer service to meet their ever-changing behaviour. You can dive deeper into your analytics to identify the channel that gets the maximum traffic for your brand, and then identify the top customer service requests on that channel. Automate your chatbot to respond to these requests and save time for your agents. 5. Engage customers with formatted text and content Basic text is all right for answering simple questions, but professionally formatted text using a range of font styles, sizes and colors enhances the customer experience. You can even insert images and interactive menus into the chat. And because it is powered by AI, your chatbot can surface a product menu, a list of articles, or customer support options, based on wat the customer asked, all within the chat. 6. Embed process automation in chatbots With AI, you can empower customers to self-serve themselves by assisting them with guided, step-by-step instruction right within the chat console. Work with your teams to identify tasks that are easy for customers to complete on their own. Therese are typically tasks that can be easily automated without needing any human intervention like renewing an insurance policy. Once your team has identified these simple and common use tasks, you can program your chatbot to guide customers throughout the service journey. And for more complex issues, when the chatbot has to hand over the conversation to an agent, the agent is already empowered with all relevant information about the case so they can resolve it quickly. Scale customer service with chatbots Your customers will recognize the value your customer service chatbots bring to them with quick, efficient resolutions to their requests and concerns. And you agents will have more tie to focus on complex customer service requests instead of answering FAQs. With AI powered chatbots, you can easily scale support to handle any case overload as and when they come your way. AI-powered chatbot technology holds the promise to reinvent the customer experience. And high-performing service teams are leading the AI powered chatbot revolution to augment their existing human customer support teams. In today’s digital first context, where speed of service is king, chatbots are helping companies stay ahead of the curve. As a Gold Salesforce Consultant, Girikon can help you deploy AI powered chatbot based customer service at scale. Contact one of our experts to learn more.