At Sollers Consulting, we aim to support our clients in complete transformations of AI automation. We learn and test various AI tools available on the market.
We are helping our clients make the best choices of AI tools to maximize value.
AI automates repetitive human tasks up till now possible to carry out only by humans. Examples include analysing documents, pictures, and complex information.
Humans make mistakes, which results in claim leakage, usually estimated by internal audits. Once trained, AI is consistent and independent of tiredness.
AI automation can shorten the claims handling process, which may result in shorter rent of a replacement car or lower payments of business interruption claims.
AI enables new ways of interacting with customers. An immediate, empathetic and correct response from the insurer can have a positive impact on the customer's perception.
Automatic AI recognition unveils data hidden in unstructured form in documents and photos that previously had to be manually processed by employees. Structured data is the fuel for predictive analytics.
AI allows for automatic search and analysis of different types of contracts. It enables insurers to respond quickly to regulatory inquiries and increases the visibility of contractual risk.
AI automation will reduce manual tasks and foster efficiency, allowing employees to focus on the higher-value creative aspects of work. Additionally, it will create exciting new jobs related to configuring and managing automated processes.
AI can augment the work of all employees, not just experts, leveraging features like analytical skills and scalability to unlock insight and efficiency. This enables faster decision-making, more precise problem-solving, and enhanced innovation across the organization.
The lack of knowledge related to AI automation stops you from making the right decisions regarding automation planning
AI tools are only a small part of the overall landscape
Sollers can support your team in learning AI tools to make the right decisions
Sollers can design and plan transformation of AI automation
Sollers can help you to
The major cloud providers offer a set of various best-of-breed AI components for addressing different problems of automation. You can think of it as building blocks, which democratises the usage of AI.
Examples: AWS, Azure, GCP.
The solution enables end-to-end automation of the insurance claim-handling process. It comes with AI components, reference processes and preconfigured business logic.
Underwriting workbenches support the underwriter workflow in managing new business, renewals and endorsements. They have various automation features which enhance submission, risk selection, pricing, quoting and underwriting. Some of the features are AI-driven.
IDP platforms provide a complete set of functionalities, including AI and NLP, to streamline the entire workflow of extracting information from various types of documents.
Example solutions: ABBYY, Appian, Hyperscience, Indico Data, Tungsten.
Generative AI/Large Language Models (LLM), like ChatGPT, can augment experts, perform complex tasks, and improve business processes. In Sollers Consulting, we leverage the capabilities of LLMs to fit the needs of insurers.
Examples: Amazon Bedrock, Google Gemini, OpenAI.
Predictive Analytics employs statistical algorithms and machine learning techniques to analyse historical data, unveil patterns, and predict future events or trends, allowing organizations to gain insights, anticipate outcomes, and make informed decisions. These solutions are integrated into various AI cloud platforms and enterprise decision engine systems, among others.
