Are generative AI (GenAI) and LLMs the solution to years of customer self-service disappointment? Forrester certainly believes so.
With the report claiming that “GenAI will save the beleaguered chatbot,” Forrester argues that the technology’s inherently natural conversations and significantly reduced deployment times are a self-service game-changer.
And conversational AI vendors appear to agree.
With the proliferation of GenAI in recent times, these vendors have had to “completely reinvent” their solutions to maximize the new tech's potential.
But which organizations managed it best? And which haven’t quite mastered it just yet?
Without further ado, here is a list of how each vendor performed, alongside some key takeaways from Forrester’s report:
Kore.ai (Leader)
Kore.ai’s use of LLMs and GenAI separates it from the rest of the pack, with the company’s XO platform and new GALE AI application framework crucial to the speedy and intelligent integration of conversational AI solutions.
The organization has also committed to investing heavily in its roadmap, as it aims to improve LLM orchestration and develop future-focused innovations such as autonomous agents.
Forrester praised Kore.ai’s adoption of modern AI tools, describing the tech provider as “a good fit” for organizations looking to implement AI capabilities throughout the contact center.
Cognigy (Leader)
The standout feature of the Cognigy.AI platform is its flexibility, which Forrester believes contributes to “truly differentiating self-service,” and allows the solution to be deployed on-premises, private cloud, or SaaS.
In addition, the platform leverages session information, user input, and context to determine how LLMs and GenAI systems are utilized, as part of Cognigy’s vision of producing humanlike, trainable agents.
The company’s track record of securing significant sales through partners also impressed Forrester, who believes it allows Cognigy to “punch over its weight” in the market.
OneReach.ai (Leader)
Forrester outlined the sophistication of the design of OneReach.ai’s Generative Studio X (GSX) platform – detailing how it allowed the company to provide “standout self-service applications.”
Within the platform, the organization’s Intelligent Digital Workers (IDW) drew praise for their ability to do “real work” for customers via LLM and GenAI adoption.
Arguably, the company’s most impressive feat is the usability of its platform. Not only does it stay true to its no-code boast – with 80% of users having no coding experience – but it also provides mentorship within its support and deployment teams.
Amelia (Leader)
The final ‘leader’ listed in the report is Amelia’s conversational AI platform, whose “aggressive” adoption of AI innovations and roadmap strategy impressed Forrester.
The platform utilizes LLMs and GenAI to deliver tools that can identify, manage, and sync with course documents – improving summarization and knowledge access capabilities.
The company also has an enviable selection of partnerships with major contact center providers, such as NICE. Accrdoing to Forrester, this experience of working with large brands makes Amelia a strong option for organizations seeking a partner with a history of providing “white-glove services.”
Sprinklr (Strong Performer)
Sprinklr’s conversational AI platform benefits from the company’s roots in marketing and social media, with Forrester highlighting the organization’s business value realization deployment and comprehensive no-code development strategy as examples of this “innovative” approach.
However, the sheer number of innovations that the platform contains can overwhelm some users, who have described the tool as “complex” and difficult to understand.
Aisera (Strong Performer)
Having almost doubled its customer base in 2023, Aisera’s AI Customer Service solution is a growing platform that makes use of a considered, step-by-step deployment approach that allows it to routinely identify and deliver on specific customer ROIs.
The report also praised Aisera’s TRAPS (trusted, responsible, auditable, private, and secure) framework, which safeguards data confidentiality and user privacy while also minimizing hallucinations.
With the platform still in its infancy, limitations can be expected, with Forrester believing that the company's tools for generating alerts for system administrators “fall short” of the required standard.
Avaamo (Strong Performer)
With a focus on providing services for large enterprises, Forrester highlights the ability of Avaamo’s platform to deliver “personalized interactions” in voice and digital channels.
The platform achieves this through the integration of a number of solutions that include an enhanced LLaMB framework, additional CCaaS integrations, and prebuilt application components.
Despite these features, Avaamo’s platform struggles with its reporting and administrative functions, with customers describing the tools as “limited”.
Netomi (Strong Performer)
The Netomi AI platform has a reputation for providing a high level of customer care, as evidenced by the company’s impressive retention rates.
Forrester praised the organization’s “strong vision” for GenAI – outlining its deployment of prebuilt integrations, accelerated GenAI assistants, and enhanced languages and systems support.
While being a smaller company may help with keeping hold of Netomi’s existing customers, its limited R&D budget could prevent it from keeping pace with an evolving market.
