ACTIVE_Chat

Hybrid Chat (Customer-Agent-Bot)

Standalone  / Cisco Unified Contact Center Express (UCCX), Enterprise (UCCE or PCCE)

Unify your customer chats, Bots, Callcenter and CRM by conferencing with our award-winning solution:

  • Customers (Facebook Messenger, Mobile or WebChat, SMS, Amazon Alexa, Skype, Whatsapp, Telegram, Viber, RCS, Apple Business Chat,..)
  • Agents within Finesse or your CRM (Oracle Siebel, Microsoft Dynamics CRM, Oracle Service Cloud, SAP,..)
  • ..and bots (IBM Watson, Microsoft LUIS, Google Dialogflow, rasa.ai,..)

Your bot is assisted by a callcenter agent whenever it gets stuck:

  • Either you conference each customer chat to a bot and an agent. The bot will suggest answers to an agent – who in turn is chatting with multiple clients (“hybrid chat“) in parallel as the bot offloads his workload. The bot responds automatically after a timeout that depends on the Bot NLU’s confidence score.
  • ..or you do a traditional handoff from a Bot to a contact center agent or initiate a callback

The conversational platform can also work without bots, simply connecting multiple chat channels. It can also integrate with multiple bots/ dialogue engines/ virtual concierges, so the Chatframework or CC agent can choose the best answer from several bots. You are not bound to any particular bot. Relevant tagged training data is stored in a way to allow you to rapidly change from one bot framework to another.

The chat tab of each customer is color-coded, indicating the bot’s confidence score. This score also determines the hold time for a timer until the bot’s primary answer will be sent, unless the agent manually overwrites the bot’s suggested answer before the timeout.

Hybrid Chat

Instead of a basic handoff from a bot to a human agent, where most of the conversation will continue to be handled by an agent, Hybrid chat engages and uses the bot during the entire conversation thereby reducing the workload to call center agents.

An agent can serve and blend in and out to multiple chats in parallel – this can also be based on anticipated conversation duration per chat.

Visual IVR

A visual IVR allows callers to enrich their voice call with a chat experience, for example while they are being queued to an agent. Chatting and choosing options from a visual menu is faster than listening through lenghty menus, so the customer experience will improve. Available with Cisco CVP.

Media Blending and campaigns

Media blending means that agents will serve alternatively voice calls or chat/ emails, depending on the volume of incoming requests as defined in the contact center’s skill based routing.

Hybridchat leverages your contact center for media routing, reporting, CTI, skills and agents, which has a panoply of sample use cases:

  • Details of any interaction (voice, email, text) are stored in CIM, so if your customer calls you at noon and then calls at four, the bot will be aware that this chat might be related to a previous call. Chat messages are stored as activities and can be synchronized as such with Cisco Context Services POD’s.
  • If you plan to launch an SMS campaign and a customer calls before you execute the campaign, the agent receiving a call could handle the case while he’s on the call with the customer.
  • If there are many Voice Calls, you could postpone answering temporarily to Emails or Chats. Or the Chatbot could inform the user that he can’t answer this particular question, but that your company would be happy to call him back once an agent becomes available. The callback request is then forwarded to the Expertflow Campaign Manager and to the Cisco Dialer.

Hybridchat comes along with a multi-channel campaign management license. This blog describes how chat ties into  campaign management .

Hybridchat or Cisco ECE?

Expertflow HC can in theory also be integrated with Cisco ECE for UCCE. This blog describes how this can be achieved, and what the limitations are.

Advantages of Expertflow Hybridchat

  • Hybridchat is a Middleware between Bots, Chat Channels, Contact centers and CRM solutions. You remain free to switch bots, chat channels, your contact center and CRM at any point. There is no lock-in. We understand that in reality, no system exists alone but has to be integrated.
  • All conversation data, NLU and conversation models are stored on your premises under your control, so you can re-use your training data if you want to re-train a new AI engine.
  • There is no pay-per-use cost (other than charged by Whatsapp or SMS)
  • HC is part of the CIM framework which is built to apply AI not only to chat but also to voice and other channels.

Synchronous and Async Mediarouting

The mediarouting engine of a contact center is typically designed to distribute full-time tasks to dedicated human agents. This is required for synchronous full-time media such as voice, video and screenshare.

For chat on the other hand, an agent can mange multiple sessions part-time asynchronously at the same time, especially if he’s assisted by a bot.

If the contactcenter doesn’t do so, Expertflow provides an asynchronous mediarouting engine that interacts with the synchronous routing engine of your contact center.

The async engine continuously predicts anticipated intensity and human work volume for every chat with machine learning, based on the type of unserved recognized intents, the type of media (SMS is slower than FB Chat). It then assigns multiple chats in parallel to agents, ensuring that each agent has the same work volume. If an agent is fully charged, it then makes a synchronous mediarouting request to the contact center to reserve the nextfull-time agent. Conversely, if a chat session becomes a full-time www-collaboration session, all other ongoing chats are given back to the general chat pool and distributed to other agents, and that agent is reserved for the full-time session. In that way, we are also integrating WWW-Collaboration/ Screensharing solutions such as Cisco Remote Expert Mobile, Cisco Webex Teams or unblu into the chat framework.

Agent Tagging

The agent can tag intents and entities in the message and can also select response amongst the answers that the bot suggests (highest-scoring answers), or draft a new response to the customer.

From the bot’s perspective, everything proceeds as if it was a normal dialogue. Tagged Messages and validated conversations (by the agent) can be used as training data to the bot, in order to improve further recognition rates (NLU) and answers (Dialogue Engine).

To further speed up training, we’ll soon be providing automated clustering of similar messages between humans to detect frequent intents or actions.

If you use a CRM connector, you can embed the Chat gadget within your CRM, as shown here with Microsoft Dynamics CRM – the chatbot in the background can – but does not have to – be Microsoft Virtual Agent for Customer Service/ Botframework/ LUIS:


Hardware Requirements

*Upto 50 concurrent agents

vCPUvRAMHDD
Hybrid Chat Core4 cores4 GB50 GB
Hybrid Chat Core with Rasa8 cores12 GB150 GB
Hybrid Chat Core with Knowledge base8 cores12 GB150 GB
Software Requirements
OSLinux CentOS7

Documentation, Userguides, and Developer API’s

Here you will find links to  technical documentations.  API’s to integrate Bots, chat channels and contact centers will soon be made available.

  • Subscription to the bot framework of your choice, if you would like to have Hybrid chat
  • If you would like a customer profile to pops up on the agent side when he takes over a chat, a CRM connector from Expertflow
  • Docker Container with MongoDB
  • Expertflow Professional Services for integrations to chat channels and to configure the Bot/ AI solutions