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

Learn how one product designer built a faster, sharper workflow where AI does the scaffolding, judgment owns the outcome, and nothing ships without a traceable why.

Article by Pavel Bukengolts
The Spiral Climbs: Ideas Are Expensive, Systems Are Cheap
  • The piece explores that design is no longer about designing screens but owning systems, bets, and outcomes. But the core judgment, empathy, and research are irreplaceable. I chain Miro, Figma, VS Code, GitHub, and Jira into one traceable loop from idea to learning. AI takes on the exploration and scaffolding. People own architecture, security, and accountability. A 48-hour operating cadence of small, measurable bets, linked artifacts, and documented decisions keeps speed honest.
Share:The Spiral Climbs: Ideas Are Expensive, Systems Are Cheap
6 min read

Learn how your AI system can be failing silently while all dashboards are green and what it takes to actually see it.

Article by Kwansah Madani
AI Fails Silently: A Systems Perspective on AI Reliability
  • The article argues that AI systems don’t fail catastrophically, but rather degrade quietly, meaning that normal tools for detecting failure will miss the problem, and engineers need to rethink how they monitor system health from the ground up.
Share:AI Fails Silently: A Systems Perspective on AI Reliability
5 min read

Learn why prompt engineering is a false sense of control and why trustworthy AI must be built on what it can verify, not just what it can say.

Article by Yves Binda
The End of Prompting: Why the Future of AI Experience Design Is Constraint-First
  • The piece claims that prompt engineering creates an illusion of control in AI systems and that the future of AI experience design lies in constraint-first architecture, where what a system can say is governed by what it can actually verify.
Share:The End of Prompting: Why the Future of AI Experience Design Is Constraint-First
8 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.

Get Paid to Test AI Products

Earn an average of $100 per test by reviewing AI-first product experiences and sharing your feedback.

    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