AI support handoff records can save a customer from repeating the same problem after a bot reaches its limit. But “handoff” can mean a live transfer, a ticket, or a request for a colleague’s help—and the transcript, summary and customer details may not travel in the same way in every channel.
This guide compares four providers with documentation for AI or automated support, human escalation and a reviewable conversation record in at least one described workflow. We reviewed public product documentation; we did not test the systems. The order is not a performance ranking and inclusion is independent of sponsorship. Confirm the exact integration, license and channel in your proposed deployment.
Compare the handoff approaches
| Platform | Documented approach | Practical check |
|---|---|---|
| Zendesk AI agents | Human escalation with conversation history | Routing, channel and configuration |
| Intercom Fin | Escalation and inbox conversation review | Fin product, destination and channel |
| Ada with Zendesk | Handoff can create a ticket with transcript | Integration and transcript scope |
| Salesforce Einstein Bots | Transfer to a service agent with chat transcript records | Bot type, channel and permissions |
1. Zendesk AI agents
Zendesk documents an AI-agent workflow in which a conversation can be transferred to a human with conversation history. For a team already managing support in Zendesk, the question is how the configured bot, queue and channel preserve context at the moment the person takes over.
Best for: Support teams that want to evaluate an escalation workflow within an existing Zendesk setup.
Why choose it: The receiving agent can use the documented conversation context to understand what the customer has already asked. Reviewable AI conversation logs and escalation statuses can also help a support lead investigate repeated handoffs.
What to consider: Human escalation can be disabled or changed in some configurations. Confirm which history, metadata and customer identifiers are visible to the receiving agent in each supported channel, and check plan and routing requirements.
2. Intercom Fin
Intercom documents Fin escalation guidance and a way to review Fin conversations in its inbox, including escalated and handoff outcomes. The practical fit is strongest when the support team can work with the handoff destination and conversation format offered by its chosen setup.
Best for: Teams assessing Fin alongside an Intercom-based support workflow.
Why choose it: Staff can examine conversations where Fin escalated or a customer requested a teammate. Intercom also distinguishes handing a conversation to a team from asking a teammate to help while Fin continues: those are different operating models.
What to consider: Chat, voice, email and external help-desk integrations may behave differently. Ask for a demonstration of the exact transcript, summary, routing and closed-ticket behavior you will use. A summary can omit details and should not replace the underlying conversation where a complete record matters.
3. Ada with Zendesk
Ada documents a Zendesk Support handoff in which its AI agent creates a Zendesk ticket containing a full transcript of the conversation. This is useful to evaluate when the team wants an AI layer connected to an established ticket workflow.
Best for: Teams using the documented Ada-to-Zendesk handoff and wanting a ticket-based record.
Why choose it: A ticket provides a place for a human to continue the work with the conversation context. Ada also documents optional transcript summaries for specified integrations, which can help a teammate orient themselves before reading details.
What to consider: Do not assume every integration behaves identically. Ada’s social-channel documentation notes that human replies may not always be reflected in its own transcript. Check where the authoritative record lives, attachment handling, retention and data permissions for your exact channel.
4. Salesforce Einstein Bots
Salesforce documents bot dialogs that transfer conversations to a service representative and describes chat transcript record ownership when a bot transfers a chat to an agent. A team already using Salesforce Service Cloud can assess this route against its existing cases, users and queues.
Best for: Organizations with Salesforce administration resources and an established service workflow.
Why choose it: The handoff can be designed as part of a bot dialog, with a transcript record available in the documented chat scenario. That lets a team examine how a customer moves from an automated interaction to a person within its service operations.
What to consider: Salesforce products, bot types and channels differ. Confirm the specific AI capability, transcript visibility, permissions and transfer behavior in your environment. The presence of a transcript object does not prove that every AI decision, integration action or channel message appears in it.
A handoff test your team can run
Use a fictional account and a non-sensitive problem. Ask the AI a question, change one relevant detail, then request a person. When the human receives the case, check the customer identity, the conversation in order, the reason for transfer, any actions already taken and the last promised next step. Record what was missing and how long routing took. This is a proposed evaluation, not a test we performed.
Repeat the exercise when no agent is online, and in each channel you actually serve. Ask what happens if a customer refuses a proposed action, uploads an attachment, or requests deletion of information. Avoid placing real customer information in an unapproved test account.
Human review remains necessary for risks that a transcript cannot resolve. A UK government toolkit on AI risks cautions against relying on human oversight alone. For data-handling context, see Editorialge’s guide to redacting customer data before support analysis. The US National Institute of Standards and Technology’s AI Risk Management Framework provides a broader framework for managing AI risks. Choose measurable escalation rules and investigate failures rather than treating the availability of a human button as proof of a safe handoff.
For related context, see Editorialge’s discussion of AI agents in customer service. The best choice is the platform whose actual handoff record gives your team enough context to take responsibility for the next step.
