Hi-touch onboarding, or onboarding with a high level of involvement. How to reduce the Is based on close interaction with each new client until the system is launched into combat operation. This method includes personalized support and assistance. At all stages, which allows for a deeper understanding of the client’s needs and the. Adaptation of the product or service to their specific requests.
The hi-touch onboarding process in salesai starts at the demo meeting. With a deep analysis and understanding of the client’s business. At this stage, it is important to identify the key goals and objectives. That the client wants to achieve with the product. To do this, we qualify clients according to various parameters. The number of sales managers, the maturity of processes and the current sales conversion.
The complexity of adaptation and integration of LLM-based products
Integration of products based on large language models (LLM) requires an individual approach and careful customization for each client. The main difficulties are related to the need to adapt the. How to reduce themodels to the specifics of the business, integrate with existing systems and train personnel. Unlike standard solutions, mobile database such products require significant time and resource costs at the implementation stage.
The customization process begins
With a deep analysis of the client’s data, which allows the models to be customized for specific tasks and requirements. This includes collecting and processing data, training the model on this data, and testing its performance in real conditions. Next comes integration with the client’s internal systems, which may include API integration, dashboard customization, and user interface development.
On average, the onboarding process for LLM-based solutions takes from a few weeks to a few months, depending on the complexity of the project and the readiness of the client’s data. For example, the implementation of an automated customer service system can take from 4 to 12 weeks, including model setup, integration, and staff training. For companies such as IBM, YC, OpenAI, or Google Cloud AI, the implementation timeframes also vary within a few months, depending on the scope of work and the specifics of the tasks.
Examples of successful implementations show that the game is worth the candle: LLM-based products really help to significantly improve the quality of customer service , increase sales efficiency and reduce operating costs .
However, an important aspect remains careful preparation and planning of each stage of implementation, which allows minimizing risks and ensuring a successful launch of the project.
Thus, integrating LLM-based products requires a a cartel in lacan’s time careful approach and significant resources, but the results they can bring make these efforts worthwhile. Reducing onboarding time and improving the quality of customization are key factors for success in a competitive environment. What does SalesAI onboarding look like? Let’s take a closer look at the process and understand how we managed to reduce it to 2 weeks:
SalesAI Accelerated Onboarding Stages
In modern business, time is money. We made the hong kong data customer onboarding process faster and more efficient by reducing it to five key stages. By automating routine operations. At the very beginning of the process, we hold a kick-off meeting where. The client’s team gets acquainted with the SalesAI onboarding team, we fix point B, how long the journey will take, what data we need and what milestones we need to go through. Let’s look at each stage in more detail.