Businesses need to adapt as generative AI quickly penetrates various industries. The enterprise CRM platform by One AI It helps to improve lead conversion and customer engagement.
The One AI generative AI solution helps CRM companies to quickly add new capabilities. Other solutions do not have this capability. This includes extracting topic and action items as well as reminders to follow up, summarizing conversation and detecting emotions and sentiment. These features are designed to enhance the analytical and operational aspects of better CRM management at an enterprise-level.
Amit Benjamin, One AI CEO and co-founder, said: “It is like having 1,000 additional employees who are relentlessly diligent in analyzing each customer interaction 24 hours a day, every day, at a fractional cost.”
Businesses need this level of efficiency to remain competitive. Customers will demand it from all products and services in the future.
The AI capabilities of any CRM system can be tailored for specific customer needs, and integrated within a few days. The solution helps organizations increase revenue, improve customer engagement and maximize lead conversion.
One AI’s Distinguishing Feature
This platform is powered by generative AI and curates and tunes computing industry’s best AI capabilities. It delivers AI solutions that are tailored to specific business needs.
Ben clarified that the platform can help enterprise firms customize the best AI language skills. One AI also manages infrastructure, development and fine-tuning.
Businesses can quickly adapt this solution to meet their specific needs, which ensures a fast time-tomarket and a low total cost ownership. These solutions support multiple languages, mediums and output types.
Ben told CRM buyer that “we focus on preventing harmful or biased content, and give our clients full control over the data they provide and prioritize responsible AI.”
One AI converts everyday speech into structured data that can be used to create products and services.
Composable key criteria
Not all AI platforms are created equal. The majority of solutions rely on large-scale language models.
One AI, however, has a unique approach that emphasizes composable AI. Ben clarified this method, which combines task-oriented AI with LLMs. This allows for customization as well as ensuring consistency and explainability.
The platform can summarize a call by creating a pipeline consisting of transcription, proofreading key points and creating a summary.
The AI strategy that is composable combines explainable, flexible models with a huge language model. This approach enables customization, while ensuring predictability of outputs and explanation.
Ben said that “It emphasizes scalability and transparency, helping to minimize risk such as bias and hallucinations while providing quick and cost-effective outcomes.”
By promoting transparency and explainingability, being multilingual, and supporting text and audio inputs on a scale that is consistent with the source documents, enhances trust.
There are no or very few modifications needed
Often, AI language skills can be used by customers without any modification. In some cases, only minimal tuning is required.
As an example, a company that operates in a noisy setting may need to receive feedback about the specific risks associated with their operation. One AI’s platform for custom skills can be used to fine-tune language proficiency in such scenarios.
Ben continued, “We offer the capability to create nuanced skill sets to meet specific needs.” “The platform was built on a low code/no code architecture that is business friendly. Customers can create tailored pipelines that meet their needs.
Strengthening CRM Performance
One AI’s CRM is aimed at engineering teams, not business leaders. Ben claims that this CRM is an enterprise platform.
Engineers are responsible for driving improvements in customer satisfaction, CX journeys and the engineering team. The goal is to improve benefits in three key areas:
1. Improve user satisfaction The organization can get a full overview of the customer’s journey. It extracts and summarizes the key information from each customer interaction in order to deliver a more personalized and efficient experience.
These data help identify trends, new competitors and feature requests so that you can stay ahead of your competition and surpass customer expectations.
2. Getting insights. AI and Natural Language Processing (NLP), a combination of advanced AI and NLP, identify entities, emotions and sentiments in customer interaction. These understandings offer a holistic view of the customer experience.
Users can easily track sales and marketing opportunities and identify the next step to take. They can also increase their lead-to deal conversion rate.
3. Automation, time savings, data integrity improvement, and automation. Automation of mundane and routine tasks allows for time to be spent on more strategic activities and improves business efficiency.
The goal of improving data integrity is to accurately capture and analyze customer interactions. Tags on tickets and articles in the knowledge base can enhance search functionality, making it easier for users to locate relevant information.
