Enterprise Conversational AI Platform

Building, Scaling, and Managing Conversational AI Solutions with Ease

Core features of the Platform

How it Works 1

Tools to make
Bot-Building Easy

How it Works 2

Reusable Skills to
add to Bots

How it Works 3

Multiple Engagement
Channels

How it Works 4

Multi-Bot Architecture for
Scalable Experiences

How it Works 5

Integration with Existing
Enterprise Systems

How it Works 6

Analytics & Insights on
Performance & Experience

Low-Code/No-code Tools Make Bot-Building Easier

Our platform provides a number of low-code and no-code tools that enable business users to design, build and manage conversational AI experiences with ease.

Choose a bot blueprint and the desired NLP for your use case and start styling your own branded bot messenger in minutes. Intents can be imported or created on the platform, enabling them to be shared and managed centrally. Whether it’s Google Dialogflow, Microsoft LUIS, Amazon Lex or IBM Watson, we allow business teams to manage the configuration and training of their bots with ease without needing to learn or access the underlying NLP engines.

Using our low-code flow designer, you can drag and drop business process flows and messenger widgets to create complex and enhanced conversational experiences. Enrich your bot experiences by connecting it securely to data sources using the API SDK.

How it Works 7
How it Works 8

Reusable Skills Give you Greater Agility

The platform combines reusability and agility to keep up with the need for speed. It is easy for business users to add skills to existing bots to enhance the functionality. You can even bring-your-own bot to our platform and avail of all these features.

Pre-configured skills, reusable action flows, intent libraries, and out of the box workers can be dropped in as you create or extend your bot’s capabilities. Intent libraries get you started quickly in a specific industry domain while reusable action flows enable the creation of centralized processes like multi-factor authentication, payment acceptance, document upload, human handover, and negotiation that can be reused across different bot use cases. Workers such as website co-browse and many more avoid you having to reinvent the wheel each time.

Select from Multiple Engagement Channels

Our channel engagement adaptors allow your bots to send and receive adapted content through a variety of bundled messengers or third-party messaging services or channels. No coding is needed. The user simply selects the engagement channel – Rich Media Web messenger, SMS, Microsoft Teams, Slack, WhatsApp, Facebook Messenger, voice and more – and the platform will translate the interactive components such as calendars, carousels, menus, list pickers, and other widgets to suit the particular channel.

The default web messenger supports a wide range of rich media components so that users can create engaging conversational AI experiences without any coding. Users can choose multiple endpoints each of which can be independently styled, configured, and customized for a bot, specific to an omnichannel entry point.

How it Works 9

The ServisBOT Enterprise Conversational AI Platform

How it Works 10
How it Works 11

Orchestrate Multiple Bots

Our multi-bot architecture makes it easier to create and manage conversational AI experiences in complex enterprise environments and supports ease of scaling and improved bot performance without sacrificing quality.

At the heart of this architecture is the enterprise Virtual Assistant (VA) or bot orchestrator that blends multiple skilled bots into a unified experience. You can orchestrate bots built on diverse NLP engines – a bonus for organizations that have a mixed landscape of chatbot and digital assistant solutions. Common functionality such as language detection, translation, sentiment analysis, PHI/PII detection, and human escalation is centralized in the VA but accessible to all other bots.

The functionality of the overall solution can be extended simply by adding more skilled bots but without breaking the existing experience.

Easy, Secure Integration with Enterprise Systems

Connect your bots securely to your internal business and contact center systems using out-of-the-box and custom APIs. Integrations are set up and managed centrally and exposed as fulfillment actions for business users to access. Our secure enterprise integration ensures that your data does not flow through or is used to train the AI/NLP engines and never leaves your environment. On-premise deployment options ensure that your customer or employee data is always protected, isolated and under your control, keeping interactions secure and business processes protected.

We support write-only secrets for use with your data services and AI providers. Enrich your bots with unlimited data services — CRMs, Service Desk, HCM, Active Directory, MS Exchange, and many more.

How it Works 12
How it Works 13

Analytics & Insights on Performance and Customer Experience

Measure the success of your bots with metrics on customer engagement, channels, chats, events, and bot performance. Define your own success criteria with custom goals and conversions to quickly display the key drivers for your business.

Our no-code tools enable you to continuously improve the bot experience by identifying missed utterances and quickly resolving them via missed input workflows. Using our intent analytics you can get insights on how to improve the accuracy of your bots and deal with “greedy” bots. With the bot runner diagnostic feature gain insights on how multi-bot orchestration leads to better customer outcomes.

Export to your favorite business intelligence tools to combine with other data to give you a more holistic view of your business.

Choose the Deployment Option that Works Best

Our platform allows centralized management of all bots in your enterprise – both those built on the platform as well as third party and BYOBs (bring your own bots). This helps enforce security standards and best practice. We offer several options for operating bots, both managed and unmanaged, on-premise and in multi-cloud environments. Our SaaS offering is in a Managed Execution Environment that is available either as a multi-tenant or data isolated option on AWS.

In the Dedicated Execution Environment you can run and operate the ServisBOT runtime as a container within your preferred infrastructure, whether that is AWS, Microsoft Azure, Google Cloud Platform, IBM Cloud or on-premise.

How it Works 14

Why is an Enterprise Conversational AI Platform so Important?

An Enterprise Conversational AI Platform may not seem like an obvious choice for your first chatbot project but as you try to scale and extend your conversational bot experiences opting for a platform approach will serve you well. Why?

  • Access to low-code/no-code bot-building tools enable you to design and build solutions faster, without having to navigate the AI.
  • Choose the NLP that best fits the objective of your bot project and don’t get locked into a single or proprietary NLP. 
  • Ease of integration with business data sources, live chat systems, and multiple digital channels provide enhanced user experiences.
  • Build and scale the volume and complexity of conversational AI  experiences using multi-bot orchestration.
  • Centralized control and management of multiple bot projects in production reduces support costs and gives IT the visibility they need.

What’s not to love about an enterprise Conversational AI Platform to secure your AI investments.

Build and Manage your Conversational AI Experiences at Scale

Close this Window