Top 10 Criteria for Selecting a Chatbot SaaS Vendor

Introduction

The breakthrough achieved by generative AI has sparked enthusiasm. This has driven many organizations to consider its integration into their operating processe.

However, the strategic adoption of generative AI within an enterprise poses a considerable challenge.

The race is on for companies to deploy generative AI. Many companies choose GenAI chatbot SaaS, such as Gleen AI, for its speed in deployment and lack of hallucination.

What is Generative AI Chatbot SaaS?

SaaS, or Software as a Service, has been a foundation in computing for over 20 years.

SaaS companies license cloud-based software to enterprises, hosting both the software and the infrastructure that runs the software. SaaS reduces the need for enterprises to host software and maintain it with patches and upgrades.

Chat bot SaaS vendors have created chatbot software platforms and deliver the software as a service. Companies pay for both the chatbot software and the infrastructure that it runs on. Chatbot SaaS vendors have existed for over 10 years.

Companies starting deploying generative AI technology in 2023. Generative AI systems generate new content based on patterns in existing content.

Two extremely promising applications of generative AI in chatbots that are both employee facing and customer facing.

With Generative AI Chatbot SaaS, customers avoid complexities like hosting Large Language Models or engaging in LLM fine-tuning.

GenAI chatbot SaaS customers don't need to write and maintain large amounts of computer code. These systems seamlessly integrate with other enterprise systems through simple APIs.

The Unattractive Alternatives to GenAI Chatbot SaaS

Several alternatives to generative AI chabot SaaS existing. All of them have significant disadvantages.

Building a Custom LLM

Building a custom LLM from scratch may be appealing, but it's a massive investment.

Purchasing GPUs, hiring machine learning experts, and handling extensive datasets require a lot of time and resources. Many companies don't have a multi-million dollar budget or the time to create a custom LLM.

For most, constructing a custom LLM is an impractical choice. Even custom LLMs are susceptible to hallucination.

Fine-tune a Pre-Trained LLM

Fine-tuning a pre-trained LLM may seem simple, but it poses challenges, requiring time and money for machine learning.

However, fine-tuning can jeopardize content safety guardrails in the pre-trained LLM

In addition, fine-tuned LLMs still hallucinate.

Build Your Generative AI Application using Pre-Trained LLMs

To build a generative AI application, companies can create their own GenAI chatbot with a pre-trained LLM like GPT-3.5 or GPT-4.

Developing your GenAI chatbot requires a skilled technical team to manage code against OpenAI's APIs.

Your team will also need to reliably solve the LLM hallucination problem.

Use OpenAI's Custom GPTs

Creating a personalized GPT seems straightforward, but it comes with many limitations.

First, you’re limited on the amount of private knowledge you can upload to a GPT.

Secondly, hackers can exploit GPTs, and GPTs can leak private data.

Third, GPTs provide limited insight into the application's internal workings, reducing the AI chatbot's ability to improve over time.

GenAI SaaS Chatbots: The Faster Way to Deploy Generative AI

Companies may save time and money by leveraging GenAI chatbot SaaS instead of developing their own GenAI solutions.

Here's a list of the top 10 characteristics to look for in a GenAI chatbot SaaS vendor:

1. Free Trial Offerings

Start by looking for GenAI chatbot SaaS vendor that offers a risk-free trial, like Gleen AI. This allows you to evaluate the features before making any commitments.

During the evaluation period, companies can test out the advertised functionalities of the GenAI chatbot. This practical trial helps you assess if the AI aligns with your needs and workflows.

Schedule a demo of Gleen AI or build a generative AI chatbot for free with Gleen AI.

2. Effortless Knowledge Acquisition

Find a solution that collects information from different sources like documents, FAQs, wikis, forums, and customer support tickets. The process of knowledge acquisition should not demand much groundwork from your side.

3. Personalization of Tone and Character

To align with your brand, you should have the ability to customize the tone and character of the generative AI. This will help your generative AI become more genuine and engaging.

Users tend to prefer generative AI that communicates in a manner consistent with the familiar and trusted brand.

4. No Hallucination

Hallucination compromises the precision of generative AI chatbots and corrupts their credibility. Hallucination lead to a loss of customer trust.

Look for solutions with strong mechanisms to prevent hallucination. Ensure dependable and accurate responses. A prime example is Gleen AI, which excels in preventing hallucination. More than 80% of Gleen AI's technology prevents, detects, and suppresses hallucination.

Watch a video that compares Gleen AI with a custom GPT trained on identical knowledge. The GPT obviously hallucinates, but Gleen AI doesn't.

5. Intuitive Interface with Key Performance Indicators

An effective generative AI chatbot SaaS should offer a user-friendly UX, even for those without technical expertise.

The UX should enable administrators to track the generative AI's performance and make necessary updates.

This facilitates the optimization of its performance. Acquiring insights through KPIs is crucial as it enhances control over AI functionalities.

6. Seamless Integration Across Various Platforms

Good GenAI chatbot SaaS should work with different platforms like email, Discord, Slack, and web chat.

This ensures a unified user experience and allows you to incorporate generative AI into multiple workflows.

7. Compatibility with Current IT Infrastructure

Choose a Generative AI chatbot SaaS solution that integrates with your existing systems, such as your help desk, live chat window, and your CRM.

This guarantees a smooth customer experience while leveraging your existing IT investments. Integration with your IT stack simplifies operations, allowing you to include generative AI without affecting existing workflows.

8. Capacity for Taking Actions

Look for a generative AI chatbot SaaS solution that can also take actions on behalf of end users.

GenAI SaaS can empower customers and employees to self-serve, enhancing efficiency.

9. LLM Neutrality

Any generative AI SaaS chatbot system will have a back-end interaction with an LLM.

Given how quickly the LLM industry is evolving, choose a Gen AI chatbot SaaS solution that is LLM-agnostic.

Within a few months, today's best-in-class LLM might become an inferior LLM. To keep your GenAI chatbot competitive, you might need to switch underlying LLMs.

10. Protection of Data and Confidentiality

Give preference to GenAI SaaS vendors who have achieved SOC 2 Type 2 certification. SOC 2 Type 2 compliance ensures that the SaaS provides industry-recognized data security and privacy.

Conclusion

The above criteria for GenAI chatbot SaaS AI help businesses maximize ROI, reduce time to market, and minimize risks.

Gleen AI's risk-free trial and powerful ability to eliminate hallucination makes it the leading GenAI SaaS solution. Gleen AI also has a proactive data protection and privacy policy.

Jump start your generative AI SaaS journey today with Gleen AI. Ask for a Gleen AI demonstration or build a generative AI chatbot at no cost with Gleen AI.