The Future of Every Business Is Changing with Conversational AI

As customer and employee interactions shift to digital in the wake of the pandemic, interest in hyperautomation has grown.
Noting that conversational AI is necessary to achieve and sustain hyperautomation, the authors explore the broad implications of conversational AI for businesses and humanity as a whole.
Drawing on over 20 years of insights from conversational AI, we'll show you how to leverage conversational user interfaces, composable architecture, and no-code creation to create a strategic environment where everyone can use technology effectively.
You'll also learn strategies for building a hyper-automation ecosystem that any business can implement immediately.

The technologies surrounding conversational AI are moving toward a convergence that will fundamentally change the relationship between people and machines.
The way customers and employees experience businesses is already being reshaped by the hallmarks of convergence, and massive amounts of data are being leveraged to disrupt entire industries.
This isn't much of an exaggeration, considering the subpar chatbot experience that permeates much of the current automation landscape around the world.

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Indeed, successfully implementing conversational AI requires an open ecosystem built for hyperautomation.
High-level automation and continuous evolution become the norm through shared information libraries and code-free development tools in the ecosystem.
It is possible to build an ecosystem using technologies that are part of the existing ecosystem, but even then, it requires significant evolution.
Hyperautomation transforms the ecosystem from a scalable, application-based system with disparate graphical user interfaces to a technology- and feature-based system with a unified, conversational interface that connects everything.
To achieve hyperautomation, you need a platform that provides both freedom and flexibility.
(...) The significance of proper conversational AI is that it is not a simple technology, but rather part of a business strategy to build an ecosystem that automates tasks and processes in a way that surpasses human capabilities through the sequential application of various technologies.
Conversational AI isn't magic, but a combination of mathematics and logic that, when properly tuned, can eliminate all communication barriers between people and machines.

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As hyperautomation tools and strategies are leveraged by large and small organizations, and even individuals, business and technology will swirl together, creating a fertile and dynamic new environment.
From a design perspective, experiences created through hyperautomation must have a clear goal of improving what only humans can do.
The core of what is being said is that the experience created through hyperautomation is a better-than-human experience (BtHX).

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Let's assume that several machines are already running in your organization.
The system is likely not operating within a single ecosystem, but rather is the result of randomly executing chatbots.
These are typically multiple point-solution chatbots built using different architectures, rather than being part of an overall strategy.
The solution chatbot may have originated from an exploratory project.
It could be a chatbot that comes with an existing platform like ServiceNow or Salesforce, or someone might have decided to build a Q&A chatbot using a poorly designed FAQ collection tool.

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Automation at scale can be achieved with microservices.
By breaking down skills into component services, and then breaking those down into component levels, you get a flexible and infinitely customizable set of microservices.
In an intelligent ecosystem, microservices can be pulled from anywhere in a shared library, modified, sequenced, and deployed, creating new automations and new microservices that can be continuously repeated, resequenced, and redeployed.
/ In terms of defining the form of the ecosystem, microservices are mapped to flows.
A sequential flow of microservices constitutes the services and skills that IDW leverages.

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Conversational AI allows users to compare their experience using a solution to the experience they have when talking to another human being, rather than to their experience using other similar technologies.
The designer's job is not to mimic human interaction, but to design for a realm that goes far beyond human interaction.
The real value comes from sequencing technologies to design experiences that improve current workflows.
This is different from what many experience designers aim for.
In the realm of graphical user interfaces, designs that reduce friction and are unobtrusive are preferred.
While conversational design aims to do this, the overarching goal is to create experiences that contribute to a much larger web of environments and experiences.

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