Technology and in particular, Intelligent Automation platforms such as RPA, Conversational AI, and chatbots, can be confusing at the best of times. Especially for people who are not familiar with the world of coding and development platforms.
As a result, when Implementing a Conversational AI project, organisations are typically reliant on IT or CoE teams to deploy and build the solution. However, these teams are under increasing amounts of pressure to deliver not only IT support, but also a wide variety of projects from across businesses placing time, resource, and budget constraints on project Implementations leading to delays.
A no-code approach to Conversational AI Assistant implementation means that organisations can alleviate the pressures on IT Teams through enabling Operational teams such as HR, Sales, and Customer Service to build and manage projects. Improving speed to deployment and ROI. Crucially, a no-code approach takes the complexity of AI away from users and enables them to create meaningful experiences based on their knowledge and in a language that they understand.
How is 'no-code' achieved?
In platforms such as Humley’s Conversational Assistant, no-code is achieved through several different approaches, which are designed to make the platform as easy as possible to use and quick to deploy. Below is a summary of some of the key activities that support no-code.
Automatic Document Ingestion
Powered by AI, automatic document ingestion enables the platform to utilise the information contained within it to create a series of potential user intents or journeys ready to use within the platform. Automatic document ingestion significantly reduces the time needed to start building personalised experiences for users and means that there is no need to build Conversational workflows from scratch.
Pre-built User Experiences
Through extensive experience working with departments such as HR, IT, Sales, and support across global organisations, Humley has created a series of pre-built user experiences which are ready to use or customise by customers. From employee onboarding to claims submission and IT support. This means operational teams can simply select the experiences that are most relevant to their use case and implement them in just a few clicks.
Integrating Conversational Assistants with existing systems such as CRM or HRIS and automation processes such as RPA is an essential part of extending the value of projects by enabling users to not only find information but also perform actions such as updating Information or booking holiday.
Setting up these integrations can be incredibly technical and a complex process requiring IT or developer support. With platforms such as Humley’s these integrations are pre-built, meaning that assistants can easily and quickly start to collaborate with existing business systems – no technical knowledge required.
Through empowering subject matter experts with the ability to build a Conversational Assistant themselves, organisations can ensure that the solutions that are deployed are truly focused on business benefits – customer and employee satisfaction leading to improved reputation and retention.
Additionally, no-code and the approaches used to achieve it, remove the fear from AI and technology by providing operational teams with direct experience of using it, increasing adoption and the success of projects.
If you would like to find out more about Conversational AI Assistants and how a no-code approach can benefit your Digital Transformation projects, get in touch today.