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You’ve probably already interacted with Conversational AI through a support chatbot or virtual assistants on your phone. It’s an intelligent assistant that can guide us through our workday or suggest the next best action. Conversational AI allows us to use everyday language when interacting with artificial intelligence (AI). Using technologies like natural language processing, machine learning, and speech recognition, AI can understand questions and instructions, which helps it provide better responses. In the past, you’d have to put awkwardly-worded terms into a search engine to find what you were looking for. With conversational AI, you can simply state the request as you would with another person.

It’s been widely adopted to by service teams to provide 24/7 first-line support that sounds human and goes beyond scripted answers. And for good reason — studies show it frees up 30% more time for employees to focus on increasing revenues and spending time with customers.

But did you know that combining Conversational AI with CRM is fundamentally changing how employees use applications? As a result, employees are happier, more productive, and businesses are reducing costs all while improving operational efficiency. Up to 45% of executives are spending more on AI. But, many might not know where to invest.

Let’s take a look at conversational AI, how it evolved from chatbot to copilot, and how it works with a CRM platform.

You’ve probably already interacted with Conversational AI. It’s been widely adopted to provide 24/7 first-line support that sounds human and goes beyond scripted answers. And for good reason — studies show it frees up 30% more time for employees to focus on increasing revenues and spending time with customers.

But did you know that combining Conversational AI with CRM is fundamentally changing how staff use applications? They’re happier and more productive, and businesses are reducing costs while improving operational efficiency. Up to 45% of executives are spending more on AI. But, many might not know where to invest.

Let’s take a look at conversational AI, how it evolved from chatbot to copilot, and how it works with your CRM platform.

In simple terms, Conversational AI is a technology that can talk to you — not just respond to you based on pre-programmed knowledge, but actually process what you say and reply in a way that sounds natural.

It’s often found in chatbots and virtual assistants and can respond to text or voice inputs. Unlike older AI chatbots, you can ask questions in natural language and get a relevant, trustworthy answer.

Think of it as a helpful colleague. Looking at ?data you don’t understand because it’s complex or not accessible enough (like almost half of the business leaders)? Ask it to tell you what the data means. Not sure how to respond to a customer? Get it to draft a response you can check and send. Need to message someone in a different language? It can automatically translate for you.

Conversational AI has evolved significantly over the years, transforming from simple scripted responses to complex, context-aware systems that can engage in meaningful interactions.

Early conversational AI systems often struggled with understanding complex user queries and maintaining context during an interaction. They were primarily rule-based and could only respond to specific commands or phrases they were programmed to recognize. This led to frequent misunderstandings and a frustrating user experience when the conversation deviated from expected patterns. This also meant it lacked the ability to personalize interactions.

As machine learning technology advanced, conversational AI began to incorporate natural language processing techniques, allowing systems to learn from data rather than follow strictly programmed rules. This shift enabled conversational agents to improve their responses over time based on interactions with users and personalize conversations, leading to more natural conversations.

Conversational AI uses Machine Learning and Natural Language Processing (NLP). It’s trained on large amounts of data — ideally, trusted internal data , so it will be perfectly tailored for your business. When the AI has learned to recognize words and phrases, it moves on to natural language generation — in other words, talking back.

Say you want to find out what happened during a meeting without reading a 40-page transcript. You’d drop the transcript into the AI tool and ask: “What were the outcomes of this meeting?”

Your query would be converted into machine-readable text, processed, and analysed by NLP, along with the transcript. Thanks to Machine Learning and its training data, the AI would scan the transcript and create a summary of the actions for you.

Once the AI tool sends your summary, it’ll respond: “Here are the outcomes.” If you want to know whether you have any actions, you can continue chatting to it without having to resend the original query. If you have any feedback on the AI response, you can share it, and it will use Machine Learning to provide improved answers to you and your colleagues in the future.

Conversational AI helps your team ?work faster, smarter, and to make more informed decisions. It has the potential to transform and modernize the workplace, and it’s flexible, so every team will get different benefits from it.

1. Sales – help sales reps to research accounts and prepare for meetings, keep records up to date, and outcomes. Conversational AI can extract customer sentiment and suggest the next best steps from video calls and transcripts. Reps can also use it to generate sales emails in the right tone, and to add causes to personalize customer contracts.

2. Service – 78% of agents say it’s difficult to balance speed and quality. Conversational AI can help them meet customer expectations 24/7. It can be rolled out across multiple channels, including social media, to provide out-of-hours help. It can also write personalized, relevant responses grounded in trusted company knowledge, helping your agents to solve cases faster and summarize outcomes so your team can learn from previous cases.

3. Marketing – get help creating copy for campaigns and use AI to improve segmentation and optimize the audience for every email . You can also ask it to create personalized landing pages for customers based on their preferences and browsing data and save time by pre-populating forms and generating feedback surveys. An AI marketing assistant can also help you make sense of metrics – 72% of high-performing marketers use real-time analytics to optimize campaign performance.

4. Commerce – empower your staff with step-by-step guidance to create digital storefronts that convert. Conversational AI for commerce can also automate tasks such as populating product catalog data, writing product descriptions in multiple languages, SEO optimization, and creating personalized promotions and ads for customers.

5. Developers – help developers to write more effective and accurate code that’s proactively scanned for vulnerabilities. This significantly speeds up time to market, while improving quality.

These are just a few examples. Conversational AI can help everyone ?turn data into insight faster, automate tasks, write copy, and summarize outcomes. But you can also use it to address industry-specific pain points. When it comes to AI, you’re only limited by your imagination.

If you’re planning any new project with AI, you need to do it responsibly. That means finding out how your customers and staff feel about AI and addressing any concerns. Trust is a big one. Users can be wary of sharing sensitive information with a machine. They need to know that their data is secure.

Make sure the AI product that you use has a secure AI architecture. We developed the Einstein Trust Layer to implement enterprise security standards. It allows companies to benefit from conversational AI without compromising customer data.

When you’re training your AI, make sure you’re aware of bias and toxicity. If you’re using skewed datasets that aren’t representative of company values, there’s a risk of AI learning and replicating societal bias or harmful stereotypes.

Another common worry is that people will lose their jobs to AI — according to our State of IT report, 64% of IT leaders are concerned about the ethics of generative AI, and 62% are worried about the impact on their careers. Reassure your team that Conversational AI is there to help, not to replace them. It’s good practice to always have a human in the loop when using AI, to check how it responds.

If you’re excited about Conversational AI, get ready for copilots. AI copilots are integrated with platforms such as your CRM and use Large Language Models (LLMs) to help users with various tasks related to their roles. They supercharge productivity and efficiency by proactively supporting users with the right help at the right time. They automate dull tasks, analyze large amounts of data quickly, streamline communication between multiple stakeholders, and connect multiple platforms and tools.

An AI copilot for CRM is a powerful assistant that can do the work of hundreds or thousands of individual applications, making every aspect of your business more efficient. You can learn more about how to design your own here, and Agentforce Assistant, our own Conversational AI assistant, here.