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