The customer changed channels. The problem stayed the same.
Someone may begin with a chat message and return by phone. From their perspective, it is still one unresolved problem.
Stephen Stilwell · September 14, 2026 · Product analysis · Content updated October 5, 2026
What the product offers
Sierra describes customer-facing AI agents across channels including chat, email, and voice. Official source ↗
The decision that matters
Channel availability does not by itself prove continuity. Evaluate how identity is established, which context can be retrieved, and what happens when the agent cannot confidently connect two interactions. The right response to uncertainty may be a clarifying question rather than an assumption about the customer.
Try one bounded task.
Use a fictional delayed-order scenario in a controlled vendor demonstration. Start on one channel and continue on another. Ask which details are available, how identity is verified, and what the receiving agent sees. Include an account mismatch as a separate case.
What to capture
Record repeated information, incorrect account associations, context gaps, and whether the next step stays consistent. Distinguish demonstrated behavior from a promised integration.
Follow the issue through the next action
Once the right customer and issue are identified, check who can finish the work. The Zendesk Agent Builder and Action Builder comparison examines explicit workflows and interpreted requests. The Decagon handoff evaluation focuses on what a person receives when the automation stops.
Where this analysis stops
Cross-channel continuity was not tested. Actual behavior depends on identity, data, and workflow configuration; the scenario is a proposed assessment.
Source reviewed September 14, 2026. Product access and terms can change. These source links have no affiliate tracking added.