Conversational AI

Valenta > Digital Transformation > Conversational AI

Conversational AI

Conversational AI is technology that has evolved over time and has allowed Bots to provide human-like interactions. Conversational Bots use large volumes of data, machine learning and natural language processing to mimic human interactions by recognizing a user’s speech or text patterns.

Conversational AI is revolutionizing every industry including, but not limited to health care, retail, BFSI, and FMCG. There are several use-cases across various sectors and business functions such as HR, IT, operations, sales and marketing, customer support, and much more.

Conversational AI can power both customer and employee experience. For customers, waiting in queue to speak to a live agent is now a thing of the past. Chatbots have been around for some time, however, have only been able to perform certain basic tasks which were more FAQ based whereas, with conversational AI, the new age chatbots use machine learning and natural learning processing and are able to offer customers and internal employees a whole different experience as they provide human-like conversational experiences.


Conversational AI is Digital Transformation at its very best. As the Technology continues to evolve, it will continue to add further value to organizations of all sizes who can tailor the technology to their needs and no longer have to be dependent on pure play Chatbots and IVR. Conversational AI is a solution that is here to stay and is going to be a significant role to play in the decades to come.

Our Automation and AI Team combines various technologies to give you the very best of Digital Transformation.

To gain wide scale acceptance, the technology must work and our Team of Developers, Solution Architects, Business Analysts, Infrastructure Engineers and Process Heads work closely with you and your team to create an Automation and AI Mindset and more importantly define your Conversational AI Strategy.

Unleash the power of Conversational AI



Work with Valenta to define your Conversational AI Strategy. Most Companies have started using Conversational AI but struggle to derive value from these Bots and that’s primarily due to the lack of understanding of how the technology works and having unrealistic expectations.

Test Automation

Conversational AI is a process where Conversational Bots use large volumes of data, machine learning and natural language processing to mimic human interactions by recognizing a user’s speech or text patterns and these Bots can offer real-time responses by gathering data from multiple applications in seconds which improves customer and employee satisfaction.



Conversational AI implementation in an organization increases productivity and profitability. The digital workforce allows the human workforce to focus on more revenue-generating and high-end tasks that create more value for the business and the end customer.

optimize, execute, operations, prototyping


Organize your tests and execute continuously or on-demand. Create logical test sets of application and RPA test cases, then manage how they are executed. Seamless integration with UiPath Orchestrator means you can execute tests directly, on a schedule or via continuous integration triggers.


Business Goals

At Valenta, our team of Conversational AI Developers and Business Analysts work closely with you to identify your pain points, understand your business landscape, and recommend suitable solutions to meet your business goals and objectives.

We use the following steps at Valenta to ensure

that we deliver high performance Digital Transformation Solutions to our clients.

Process Walkthrough

Deep Dive with the client on the current process

Process Design Documentation

Business Analysts Document the entire process for the Developers and provide feedback and suggestions to improve the process
Prioritize, needs, notices

Solution Design Documentation

Solution Architects finalize the Solutioning of the Process including any integrations and best practices to approach the implementation

UAT (User Acceptance Testing)

Allow users to test the process on live cases / accounts and modify / enhance the solution if needed
Deploy, kick-off, go-live


Deploy the Solution on the Clients Environment

There is a sign-off at each step to ensure no sub-process or task is missed during the development phase and should there be any changes as per business requirements, the process is documented before redesign and development.

Benefits with Conversational AI


Cost Efficiency

  • Chatbots can reduce significant costs within any contact center. Not only can the chatbots work 24/7, but they also always operate at the same efficiency. Chatbots can reduce the AHT (Average Call Handling Time) significantly and reduce the burden on the human agent who is now able to focus on the more serious and priority-based queries.
  • There are several other cost benefits ranging from salaries, overheads such as office space, utilities, staff welfare, pensions, superannuation, insurance, and so on.
  • Call centers, in general, have always had staffing issues due to the high attrition rate globally and this has led to high recruitment and training costs therefore intelligent chatbots are now seen as the new age contact center that work alongside human agents to improve C-SAT (Customer Satisfaction) and E-SAT (Employee Satisfaction)

Instant Responses and Higher Engagement

  • Almost every consumer uses mobile devices in their daily lives for various tasks and activities, right from buying groceries to paying utility bills, looking for new offers and discounts from various consumer brands, using ride-hailing apps, and much more. Businesses need to provide real-time information; otherwise, they will miss opportunities.
  • Intelligent chatbots or AI chatbots can provide customers with real-time information without the client having to wait in a long queue to speak to a human agent so they are able to avoid those wait times and get instant responses, which leads to increased customer satisfaction and loyalty.
  • AI-powered chatbots are also able to offer personalization with the ability to provide recommendations to end-users, allowing businesses to cross-sell and up-sell products that customers may not have initially considered. A simple example could be booking a flight ticket through an online app, which then triggers further questions such as “Would you like to book a hotel or a cab?” and more.
road-map, walk-through, ability-to-scale

Ability to Scale

  • AI-powered chatbots are easy to scale due to the reduced infrastructure support that is required and is also a lot cheaper when compared to hiring and training human resources. For brands that are planning to expand into different geographies and regions, there is always a challenge with the language barrier which can now be eliminated through intelligent chatbots.
  • Bi-lingual and multi-lingual contact centers were a USP whereas with conversational AI today, these contact centers can operate with great efficiency and productivity leading to profitability.

How Valenta can assist with Automation Strategy and Implementation

Our approach
Valenta believes in designing, modernizing, and building mission Critical technology systems which most clients depend on every day. We are focused, independent company, implementing Valenta’s Business-Unit Prototype, we make sure that strategic requirements are covered, and that the solution is built from end-to-end from a chosen business function.

Here are the three simple steps we take for AI / ML implementations :


Proof of Concept

Introduction: The Proof of Concept satisfies critical business as it validates the solution.

POC Goal: To help companies validate the opportunity hypothesis and get the green light for developing a full-fledged solution.

Key Benefit: Do not have to commit to Go Live if the solution does not work

Importance: POC allows a Business to test out the Solution on its own applications and processes, therefore, giving stakeholders the power to test the solution before having to purchase it.


Full Implementation

In this phase, new scenarios are added, and more focus is put on common understanding, consistency, and the accuracy.

Based on the learning experiences, new enhancements and features are proposed and implemented.

Work is focused on further adoption at the same time making sure that settled users are not impacted by the changes.


Managed Service

We provide Conversational AI as a Service for a Fixed Monthly subscription that gives Businesses greater control on their Cashflow.

We handle the entire process from Design to Development, Triggering and Scheduling the Bot, Monitoring and Optimizing Bot Performance, and On-going Maintenance.

Valenta is agile in providing accurate reporting. We strive to enhance the consistency of the analysis, respond to changing business needs and provide solutions.

An essential part is setting up necessary protection to minimize risk and protect AI assets.

End Results
The end results will consist of a centralized team in charge of finding and promoting interesting analysis across the entire organization.

Local teams will be empowered to create and innovate. The centralized team identifies the most successful work being done at a local level and provides a platform to share and promote this work at a corporate level.

Test Automation Use-Cases



Order Management, Up-Sell and Cross-Sell, Channel Sales Automation


Smart lead generation, Conversational banners, AI powered landing pages

Human Resources

Employee On-Boarding, Leave Management, Meeting scheduler, Reimbursement processing, Payroll Management


Incident Management, Smart Lookups, Critical alerts and monitoring, FAQ, and knowledge management
Consulting, customer serevice

Customer Support

24/7 Chat and Call Support, Multilingual support, Omni-Channel support, Live agent transfer
optimize, execute, operations, prototyping


Auto Trigger workflows, Document cognition, Auto-escalation, TAT and Error Rates

VALENTA’s Managed Service – Conversational AI as a Service

Valenta’s Managed service is designed to Measure and Govern AI programs to align with business outcomes. Using a Managed Service not only offers Companies a much faster ROI, but it also enables organizations to repurpose their in-house resources to more revenue driven activities.

innovation, building


Discover opportunities powered by AI and your people


Build AI quickly, from simple to advanced
Deploy, kick-off, go-live


Manage, deploy, and optimize AI at enterprise scale


Run AI through robots that work with your applications and data
Consulting, customer serevice


Engage people and robots as one team for seamless process collaboration

Also, the below steps help in providing right analytics capabilities for real-time marketing insights and decision making.

Prioritize, needs, notices

Client Needs Assessment

The first step involves in-depth discussions or workshops with the clients to understand their needs, current gaps and pain points, data sensitivity and regulatory issues, proximity requirements etc. and determine the nature of automation required.
Reporting, Assessment, Analysis

Onshore Strategic Assessment

In this step, the AI opportunities are prioritized by ease, complexity, scale, and other parameters. Based on this, the technology interfaces, skills, and training required are outlined, and a high-level business case and roadmap are developed and presented to the client.
Deploy, kick-off, go-live

Engagement Kick-off

Based on client approval, the engagement is kicked off with the appropriate solutions, infrastructure, resources, transition plans, risk mitigation plans and engagement model.

Key Benefits

  • No upfront investment in AI resources
  • Reduced total cost of ownership
  • Accelerated path to business insights
  • Easily scalable based on long-term or short-term requirements
  • Access to latest technologies and best practices

Valenta’s Value Proposition

  • Enterprise-level AI with the reduced cost of ownership
  • Improve processing time using a scalable and robust solution
  • Securely store processed data and analysis artifacts in various file formats and modes
  • Efficiently operate and supervise ongoing operations of AI processes
  • A deeper understanding of the interdependencies of various components of Conversational AI
  • Implementing high ROI systems is a testimony to our depth in the Automation and AI space

Embark on your Digital Transformation Journey NOW


Automation Strategy

  • Create a structure to handle business requirements
  • Build an Automation / AI or Digital First Culture across the organization
  • Monitor Data to constantly build trust
  • Maintain a Roadmap to optimize and track Data Goals.
optimize, execute, operations, prototyping

Process and Task Mining

  • Task Mining – analyze work people do to find every day, repetitive tasks
  • Process Mining – analyze data from business applications to understand end to end processes
  • Task Capture – easily document and map business workflows
  • Central Hub – centrally capture and manage automation opportunities and process improvements, prioritized by impact and ROI
cloud migration

Cloud Migration

  • Cost Reduction
  • Productivity Improvement
  • Enhanced Data Security
  • Operational Efficiency

Data Driven Insights

  • Measure the performance of AI operations
  • Calculate Conversational AI impact on your bottom line
  • Enable data driven decisions across your organization
  • Forecasting
  • Improves governance across the Organization


We integrate with several platforms to enable greater flexibility and speed to results.

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