Introduction: why formalize a handover for kiosks and screens

An AI reception avatar deployed on a kiosk or screen provides a first layer of information and guidance. However, some requests remain outside the scope of automation or require a human advisor's intervention. Designing a reliable escalation process prevents journey breaks, preserves data confidentiality and facilitates handover to teams.

This playbook targets physical deployments: it compares technical handover patterns, explains the architectural decisions to make, addresses UX and multilingual consent, proposes acceptance indicators and supplies a 24/7 operations and team training checklist.

Escalation patterns: benefits, limits and use cases

Four patterns commonly recur for moving from an AI reception avatar to a human agent. The choice depends on the operational context, existing infrastructure and the acceptable level of wait time for the user.

  • Real-time voice bridge (voice to agent): the avatar connects the user with an advisor via live audio. Advantage: vocal continuity and immediate handling. Limit: requires telephony or CCaaS integration and real-time seat capacity.

  • Virtual queue: the user joins a digital queue and waits to be served. Advantage: orderly request management and the ability to estimate position. Limit: requires a backend mechanism to manage the queue and inform the user, and is unsuitable when handling must be instant.

  • Ticket creation / callback: the avatar opens a case or ticket containing context, with an option for agent callback. Advantage: good traceability and adaptable outside peak times. Limit: the conversation is interrupted and resuming context requires a structured transfer of information.

  • Co-navigation or hybrid co-handling: an advisor takes over the conversational context (text/summary) and guides the user remotely. Advantage: allows the advisor to read history and continue without repeated explanations. Limit: assumes an integration that transmits context and often a tool with a web interface or an accessible agent.

Architecture and integrations decisions: what data to send and how

Before any integration, list objectives: reduce user friction, preserve confidentiality, and provide advisors with information useful for handling. Required integrations vary by chosen pattern and often involve webhooks, REST APIs or a connection to a CCaaS/CRM.

  • What data to send: a contextual summary of the session, recent interactions (key questions and answers), referenced documents or evidence, the language used and the interaction mode (voice, touch). Avoid sending unnecessary sensitive data.

  • Format and transport: favor structured payloads (JSON) via secured webhook. A dedicated integration can forward to a CRM or contact center. Specify in the design which values are mandatory and which are optional.

  • Preserving RAG context: if the avatar relies on a knowledge base, sending pointers or relevant extracts can help the agent. This is context resumption, not a full export of the documentation base.

  • Security and confidentiality: encrypt flows, authenticate endpoints and minimize the shared data surface. Define who may access the transcript and for how long, in line with the organization's policy.

Technical details: webhooks, context resumption and multimodality

Technical implementation focuses on three points: call mechanism (webhook/API), context format and handling multimodality (voice + touch). These choices affect latency, robustness and the ability to resume the conversation without loss of information.

  • Webhooks and endpoints: design webhooks able to receive a session snapshot. A dedicated integration can trigger ticket creation, agent alerting or placement in a CCaaS queue.

  • Session snapshot: favor a structured summary rather than long transcripts. Include useful metadata: language, timestamp, interaction type, consent. RAG context resumption can be limited to a few essential passages extracted from the knowledge base.

  • Multimodality: for voice kiosks, provide the link between the voice session and the text stream. SANIA can operate in voice and touch depending on configuration. The responsible integration must allow the advisor to know the initial mode to adapt handling.

UX and multilingual consent: practical rules for a clear transition

A successful transition does not rely on technology alone. User experience and consent handling are central, especially on public kiosks and in a multilingual environment.

  • Inform before transferring: before initiating escalation, the avatar must simply explain what will happen (for example: connection, ticket creation, later callback) and ask the user's agreement.

  • Collecting and tracing consent: capture verbal or tactile consent depending on the channel. The nature of this consent must be recorded with the session and made available to the agent, in compliance with the organization's data policy.

  • Multilingual and adaptive scripts: provide clear formulations in relevant languages. SANIA can communicate in more than 100 languages in a suitable configuration, which facilitates capturing consent in the user's language.

  • Handling sensitive information: if the conversation contains personal or sensitive data, systematically invite the user to switch to a secure channel or to contact the service in person. Do not transmit sensitive data without explicit consent.

SLA, metrics and operational acceptance criteria

Defining operational targets allows accepting or adjusting the escalation process. These targets should be realistic and depend on contact center resources and each site's peak loads.

  • Examples of metrics to track (to implement via your tools): escalation rate by channel, user acceptance rate of escalation, average time between request and human handling, rate of context resumption without user re-exposition.

  • Measurement and collection: these indicators require dedicated instrumentation. An organization may choose to extract these data from logs, the CRM or connected CCaaS tools depending on the chosen configuration.

  • Acceptance criteria: before large-scale production, define qualitative and operational criteria (e.g. handling capacity at peak hours, sufficient multilingual understanding to capture consent).

24/7 operations checklist and training recommendations

Ensuring availability and quality of a handover requires operating procedures and targeted team training. Here is an operational checklist to prepare continuous operations.

  • Prepare runbooks for each escalation pattern: connection procedure, ticket generation, queue management and context resumption.

  • Monitoring and tests: regularly verify the complete chain (ASR, LLM, RAG, webhooks, CCaaS). Plan end-to-end tests in real conditions and multilingual scenarios.

  • Fallback plan: define procedures when contact center integration is unavailable (clear message to the user, option to create a local ticket).

  • Agent training: make advisors aware of the nature of the context sent by the avatar, possible limits of automatic summaries and confidentiality rules. Prepare welcome scripts to re-engage a visitor who already interacted with the avatar.

  • Governance and reviews: organize regular reviews between IT, support and reception managers to adjust escalation rules, context templates and consent scripts.

Frequently asked questions (FAQ)

Q: Does the avatar automatically retain conversations that will be passed to the agent?

A: Data retention and transfer depend on the chosen configuration. An organization must define which data are retained, for how long and whether they may be transmitted to a CRM or contact center via a specific integration.

Q: Can we guarantee the agent will have the full context to resume the conversation without the user repeating?

A: Sending a structured summary and relevant extracts facilitates resumption. Nevertheless, the quality of the handover depends on the context format sent and the agent interface used. It is recommended to test representative scenarios and adjust the context payload accordingly.

Next steps

Implementing an effective handover between an AI reception avatar and a human agent combines technical decisions, UX rules and organization. SANIA can be deployed on a screen or interactive kiosk, operate in voice and touch depending on configuration and use an organization-specific knowledge base to feed context. To evaluate concretely how to integrate this playbook into your environment and define the necessary integrations, you can request a SANIA demonstration.