Transition Your Business From Service Desk Ticket Management to AIOps

Large-language Models (LLM) enables project teams to build safe, secure, enterprise-ready GenAI applications. Our teams will design GenAI processes and components, data set preparation, train the LLM for specific business needs, identify sensitive data (PII) considerations, document entire application flows and delivering the desired business outcome.

For each use case, we can help your team to design the proper prompt or natural language request to get a specific response. Proper prompt engineering helps the AI model to get enough information to generate the most appropriate data from LLM for your unique use case. This is typically an iterative process as you operationalize Generative AI via training & feedback.

Use of assistants are dependent of use cases, but typically are deployed to improve the efficiency such as summarizing conversations in a call center or accessing prior history for the agent to have available.

Integrations with enterprise products (CRM, Contact Center) & services (Rating, Fraud check, Risk Triage) from Microsoft, OpenAI, AWS, etc. and data sources such as data ingestion files, Data lakes & Data Warehouse. This is achievable as your use cases expand from individual or role specific deployment to wider operational deployment. Sources of input that can be digitally captures which can be structured, unstructured, or binary data that contain trusted data can be accessed to support knowledge workers such as underwriters, loan officers, healthcare agents, benefits consultants, compliance analysts, or financial controllers.