Guaranteed Production Roll-out in 3-4 Weeks
Get a Trained Nividous Intelligent Automation Bot at No Risk.
Benefits of Quick Start
Nividous Quick Start, a unique engagement model, is designed to expedite quick adoption of intelligent automation (IA). Our professional services consultants work closely with you to deliver a trained IA Bot using the Nividous platform and roll it out into production within three-four weeks. Nividous also creates a case for enterprise-wide adoption of Nividous platform by working with you to develop a strategic roadmap for your organization.
Identify Technical Capabilities and Requirements in the Initial Stage
Low Cost/Low Risk Starting Point with Quick Configuration
Know the Effectiveness of Intelligent Automation Technology for The Selected Processes and Tasks
Prove Quick ROI by Delivering Financial Benefits
Get Key Stakeholder Buy-In
Enjoy the Recurring Value Over Years after the Initial Implementation
3-4 Weeks Engagement Process
Workshop
1-2 days
The team ideates and identifies intelligent automation eligible processes, demonstrates the Nividous platform capabilities for them along with sharing industry case studies and builds a business case.
Scoping
1-2 days
We document processes at key-strokes level including activities, exceptions, business rules, input/output fields, trigger value; establish a project plan and get the sign off within one-two days.
Implementation
2-3 weeks
We design the workflow for process automation, set up environments for development, testing and production and initiate the process automation using agile methodology.
Roll-out
2-3 days
Exceptions are captured with end-user acceptance using test cases and are handled within the process. The team provides hyper support while migrating to production & knowledge transfer.
Nividous Quick Start Engagement Model Includes
Fixed Price
Guaranteed Production
1-year Nividous Platform Subscription
*Conditions apply
Nividous Professional Services
Latest Blogs
The Robotic Process Automation (RPA) market is projected to soar to an impressive $50.50 billion globally by 2030. This surge […]