Kore.ai introduces SDLC best practices to the world of virtual assistants so you can design, create, train, test, and host natural and engaging conversational experiences. Our platform empowers you to effectively and efficiently build and ship virtual assistants anywhere using one consistent process for all your teams.
Why effective virtual assistant development requires iteration
Creating and maintaining effective virtual assistant is an interative process. There are almost always going to be new tasks, dialogs, and bug fixes waiting to be designed, developed, and deployed. The best assitants are those that are constantly evolving, that is that they come about when you build a bot, get it out into the wild to see how people use it, and then use that data to test, iterate, test, and iterate some more.
Why businesses need SDLC support for virtual assistants
SDLC support provides all stakeholders with a common vocabulary and a standard “definition of done” as well as defined processes, communication flows, and responsibilities for IVA creators, analysts, testers, and admins – ensuring that everything is well documented and that everyone knows exactly what they need to do during each step of the bot building process.
Versioning and release management provides a single source of truth for releasing complex enterprise virtual assistants at scale, allows you to easily pinpoint the root cause of potential failures, and allows you to quickly update, revert, or rollback problematic releases.
Kore.ai provides full SDLC support, including support for development lifecycles across multiple teams with multiple release dates and support for companies that have different physical environments for each SDLC stage. Our platform also provides the ability to manage development lifecycles across various dev, test, and production environments and a sandboxed runtime environment to test virtual assistant configurations.
Advantages of Kore.ai’s Approach to Virtual Assistant Version and Release Management
