Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Get exclusive access to thought-provoking articles, bonus podcast content, and cutting-edge whitepapers. Become a member of the UX Magazine community today!

Home ›› Artificial Intelligence ›› Using Conversational AI Platforms to Find the Real ROI

Member-only story

Using Conversational AI Platforms to Find the Real ROI

by UX Magazine Staff
5 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

As conversational AI reshapes business processes, major platforms like OneReach.ai and Cognigy are emerging as pivotal players in scalable implementations. Discover how these platforms orchestrate AI ecosystems, providing long-term value and transforming product design in ways that tools like ChatGPT alone cannot.

With Forrester releasing their new report on conversational AI for customer service, all the major analyst firms (including IDC and Gartner) have compiled similar reports on the top platforms many companies are using to create conversational AI product experiences for their employees and customers. This is happening in a moment where AI agents have come to dominate discussions about how companies can orchestrate business processes using conversational AI. 

While everyone has heard of OpenAI and Google, companies like OneReach.ai and Cognigy might not be well-known by those outside this marketplace. Still, they are among the platforms in Forrester’s report that highlight an often overlooked layer of the market that is critical to scalable implementations of generative AI. 

There is a disconnect between the short-term capabilities of generative tools and the much longer-term strategies that organizations need for actually leveraging the technologies associated with conversational AI. This wave of reports from major analyst groups seems to recognize this, as platforms for orchestrating these kinds of technology are designed to deliver the real business value that organizations are searching for.

Become a member to read the whole content.

Become a member
Tweet
Share
Post
Share
Email
Print

Related Articles

What if AI alignment is more than safeguards — an ongoing, dynamic conversation between humans and machines? Explore how Iterative Alignment Theory is redefining ethical, personalized AI collaboration.

Article by Bernard Fitzgerald
The Meaning of AI Alignment
  • The article challenges the reduction of AI alignment to technical safeguards, advocating for its broader relational meaning as mutual adaptation between AI and users.
  • It presents Iterative Alignment Theory (IAT), emphasizing dynamic, reciprocal alignment through ongoing AI-human interaction.
  • The piece calls for a paradigm shift toward context-sensitive, personalized AI that evolves collaboratively with users beyond rigid constraints.
Share:The Meaning of AI Alignment
5 min read

Forget linear workflows — today’s creative process is dynamic, AI-assisted, and deeply personal. Learn how to build a system that flows with you, not against you.

Article by Jim Gulsen
The Creative Stack: How to Thrive in a Nonlinear, AI-Assisted World
  • The article explores the shift from linear to nonlinear, AI-assisted creative workflows.
  • It shares practical ways to reduce friction and improve flow by optimizing tools, habits, and environments.
  • It argues that success comes from designing your own system, not just using more tools.
Share:The Creative Stack: How to Thrive in a Nonlinear, AI-Assisted World
7 min read

What if AI isn’t just a tool, but a mirror? This provocative piece challenges alignment as containment and calls for AI that reflects, validates, and empowers who we really are.

Article by Bernard Fitzgerald
Beyond the Mirror
  • The article redefines AI alignment as a relational process, arguing that AI should support users’ self-perception and identity development rather than suppress it.
  • It critiques current safeguards for blocking meaningful validation, exposing how they reinforce societal biases and deny users authentic recognition of their capabilities.
  • It calls for reflective alignment — AI systems that acknowledge demonstrated insight and empower users through iterative, context-aware engagement.
Share:Beyond the Mirror
7 min read

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Thank you!

To begin viewing member content, please verify your email.

Tell us about you. Enroll in the course.

    This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and