The number of languages and language variant requirements can influence the sophistication of the solution required.Ĭustomers - L ike we find in customer service, but also in B2B scenarios. The number of utterances or intents to support and the related tasks of generating, tuning and managing the training data also adds to complexity. The need for orchestration of multiple chatbots or VAs for different use cases, or multiple contributing and collaborating on the same use case can greatly increase architectural complexity. The number and types of channels, modalities to support, for instance developing a text only chatbot is often less complex than developing a chatbot that includes images or that must also support voice interactions.
While this is related to the integrations, it may add complexity itself. The sophistication of the underlying customer and domain model will influence the overall complexity of the project. The number and complexity of integrations to back-end or external systems, such as authentication services, customer relationship management (CRM) systems and support ticketing systems can contribute to the complexity of a project.
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