How to Migrate from Sierra to Ceven
Sierra helps businesses build conversational AI agents for more human customer experiences and support. While Sierra excels in creating AI-driven customer interactions, Ceven offers a broader platform for AI workflow automation, including human-approval gates and no-code app building.
This guide will walk you through the process of migrating from Sierra to Ceven. By the end, you'll have a robust, automated system that leverages Ceven's capabilities to enhance your workflows.
Migrate from Sierra to Ceven in 5 steps
Inventory Your Outcomes
Start by listing all the outcomes your Sierra agents achieve. Focus on the end goals, such as customer support resolutions, lead qualifications, or data collections, rather than the specific steps taken.
Connect Your Apps in Ceven
Re-authorize the same apps and services in Ceven that you used with Sierra. Ensure you have the necessary permissions and access to maintain seamless operations.
Rebuild for Outcomes
Describe the outcomes you want to achieve in Ceven. Use AI steps to automate tasks and add human-approval gates where Sierra's automation was brittle or lacked oversight.
Validate in Parallel
Run both Sierra and Ceven in parallel, processing real data. This allows you to compare results and ensure Ceven meets your expectations before fully transitioning.
Schedule and Cut Over
Once you're confident in Ceven's performance, schedule the final cutover. Ensure all stakeholders are informed and prepared for the transition.
Why teams switch from Sierra to Ceven
Teams often switch from Sierra to Ceven because Ceven offers a more comprehensive platform for AI workflow automation. While Sierra focuses on conversational AI agents, Ceven provides additional features such as human-approval gates, no-code app building, and the ability to connect to over 1,000 tools.
Ceven's platform allows for more flexible and robust workflows. With human-approval gates, you can ensure that critical steps in your processes receive the necessary oversight, reducing the risk of errors and improving overall efficiency.
What moves over and what doesn't
When migrating from Sierra to Ceven, the data and outcomes of your conversational AI agents can be replicated, but the specific workflows and automation steps will need to be rebuilt. Ceven's platform allows for more complex and integrated workflows, so you can consolidate multiple Sierra agents into fewer, more capable workflows.
However, the specific conversational AI models and training data used in Sierra will not automatically transfer to Ceven. You will need to recreate these elements within Ceven's platform, leveraging its AI capabilities to achieve similar or enhanced outcomes.
Avoiding the common pitfalls
One common pitfall when migrating from Sierra to Ceven is attempting to recreate every detail of your Sierra workflows. Instead, focus on the outcomes and rebuild the workflows in Ceven to achieve those outcomes more efficiently.
Another pitfall is not validating the new workflows in Ceven thoroughly before cutting over. Always run both systems in parallel, processing real data, to ensure Ceven meets your expectations. This approach minimizes disruption and ensures a smooth transition.
Frequently asked
Can Ceven automatically import my Sierra workflows?
No, Ceven does not support automatic import of Sierra workflows. You will need to rebuild your workflows in Ceven, usually consolidating them into fewer, more capable workflows that leverage Ceven's AI and automation features.
How do I ensure a smooth transition from Sierra to Ceven?
To ensure a smooth transition, run both Sierra and Ceven in parallel, processing real data. Validate the outcomes and make any necessary adjustments before scheduling the final cutover. This approach minimizes disruption and ensures Ceven meets your expectations.
What are the benefits of using Ceven over Sierra?
Ceven offers a broader platform for AI workflow automation, including human-approval gates and no-code app building. This allows for more flexible and robust workflows, enhancing overall efficiency and reducing the risk of errors.