To help you navigate the myriad opportunities presented by ValueXI, we’ve outlined four key scenarios illustrating how this powerful tool can help you quickly extract business value from AI.

Scenario 1: Еnterprise-grade AI for various business tasks

ValueXI can facilitate the delivery of a fully customizable, enterprise-grade AI solution tailored to your business needs, offering up to 90% in-house resource savings and a 3x faster time-to-market, whether in the cloud or on-premises.

The biggest advantage of ValueXI AI engine is the possibility to quickly build an AI MVP and check how a real AI model functions into a specific business unit, especially if you evaluate pros and cons of AI integration for your business.

Here are some illustrative business cases:

• A service engineering company experienced a 6x improvement in request classification speed and a 14% increase in revenue in just one month by using ValueXI to distinguish warranty-covered requests from non-covered ones
• A car leasing company successfully closed over 3000 deals by leveraging ValueXI to rank 5000+ contacts based on buyer readiness
• An airline ticket aggregator saw a 17% boost in sales through improved lead prioritization on their website
• An IT company reduced support ticket resolution time 2x, thanks to ValueXI extracting requests from the general mail flow and assigning them to certain support specialists

Scenario 2: AI as a new product feature

You can seamlessly incorporate AI into your digital products, making them more appealing to users and stakeholders. Startups can also take a leap forward by infusing their offerings with AI capabilities. Mid-size companies to enterprises can leverage AI add-on to existing products to get more market share and diversify products’ use cases.

In a recent project involving a HealthTech app focused on patient transportation, we deployed ValueXI to enable instant data retrieval through form scans and the automated distribution of insurance approval requests.

Results: 65% reduction in staff workload, 87% decrease in errors.

Scenario 3: AI as a development tool

With a short development and hypothesis testing cycle, you will be able to: qualitatively prepare and analyze data for model training, easily integrate AI models into your environment, and implement new features faster than your competitors.

In other words, you can use a powerful platform instead of expanding your team, and accelerate the AI development process while optimizing resource allocation.

Let’s compare a traditional in-house AI project with a ValueXI-powered AI project.

In-house AI project:

1. Requires hiring and onboarding Data Scientists
2. Demands rare expertise, therefore involves additional team training costs
3. Takes over 6 months for implementation
4. Encounters integration pitfalls and unpredictable results
5. Experiences delays when going into production
6. Does not have external supervision or support

AI project with ValueXI:

1. Ensures a quick start with reduced Data Scientists involvement
2. Automates routine work for in-house Data Science team (if available)
3. Attains a smooth transition from PoC to production-ready AI project in just 1 month
4. Avoids development related risks
5. Includes smooth AI end-to-end integration
6. Benefits from ongoing support by an experienced ML team

Scenario 4: Use of LLMs — as an add-on to previous scenarios, and solo

If you’ve ever considered using the capabilities of Large Language Models (LLMs) to enrich data for AI models, but were concerned about GDPR/CCPA-related risks, ValueXI is the key.

To begin with, LLMs (ChatGPT, LLaMA, Claude etc.) are non-compliant by default. Prompt injections pose a serious threat, making it relatively easy for malicious actors to access sensitive business data.

Let’s consider ChatGPT as an example. The distinction between its enterprise-level plan and a free plan lies in the fact that the former solely ensures that your data won’t be utilized for pre-training the model. However, your data is still transmitted to OpenAI, where it will be processed according to their procedures.

Continuing with ChatGPT, while working in the cloud or on-premises with an enterprise-level LLM module, ValueXI offers integration with the OpenAI API. This enables secure data processing through LLMs directly within your system, mitigating common Generative Pre-trained Transformer (GPT) threats. In other words, ValueXI allows you to harness the power of LLMs while ensuring GDPR/CCPA compliance and keeping your data entirely internal.

Curious to see ValueXI in action?

Explore the platform through a live demo (fill the form on a web page), and experience firsthand how it simplifies AI development and integration.

Next up, we’ll describe use cases mentioned above in detail to show how exactly ValueXI empowers business with valuable results.