Digital

Automation

Planning

AUTOMATICALLY DESIGN & DOCUMENT PROCESSES SELECTED FOR AUTOMATION

Digital Automation Planning

Digital Automation Planning (DAP) Studio, automatically designs and documents processes selected for Intelligent Automation in a form that actualizes un-scattered, collaborative and high-quality Intelligent Automation Process Architecture, In Accordance With Leading RPA Vendor Architecture standards.

  • Converts Process Insights from BTI into Digitised Automation Roadmaps, thereby saving valuable time and resource during the RPA Technical Architecture and Solution Design phase

  • Digitises Intelligent Automation Design Documentation, Both automatically and in line with leading and recognised RPA Architecture standards

  • Stores Process Documents in a Single & Navigable Information Repository for further analysis and onward Intelligent Automation development

  • Allows Users to Design Intelligent Automation Processes from Scratch, with the ability to visualize “what if” scenarios and variations

  • Augments Collaborative Development of Intelligent Automation, via the DAP Studio’s Instant Messaging, Rules-Based Approvals and Consultation Tools

  • Enhances Processes & Tasks Imported from BTI, via (i) the ability to edit, omit or merge Steps into Ideal Paths and (ii) The Scope To enrich imported processes with additional information and insights from other sources, systems & Human Colleagues

  • Fastest Intelligent Automation Implementation in the World, as DAP is the only Digitised Automation Planning software product that is integrated with VenAutomate Business Task Intelligence (BTI) and VenAutomate Autonomous Intelligent Automation (AIA). With DAP, both (i) processes in the Intelligent Automation pipeline and (ii) technical architecture of Intelligent Automation Are designed and documented automatically, therefore more quickly & In A Standardised Format

  • Enhanced Quantity & Quality of Intelligent Automation, due to automated documentation, ease of navigating process documents and higher scope for collaborative RPA development

  • Reduction of Re-Work During Process Design and Implementation & Decreased Digital Worker Upkeep and Maintenance, based on (i) rules-based approvals, and (ii) the ability to road-test automation with process visualizations

  • Greater Adherence to Regulations, Governance, Enterprise-Wide Standardization and Compliance Frameworks, As Well As Being Audit-Ready due to (i) the ability of Administrators to set protocol rules and receive alerts in the event of deviations and (ii) full documentation of business processes, automation architecture, solution design and audit logs

  • DAP provides valuable answers to questions that are relevant to Business Users and Intelligent Automation Architects :

  • Is documentation of this process, which is in the pipeline for Intelligent Automation, both (i) audit-ready and (ii) in line with the leading RPA Architecture standards?

  • What are the approvals required to sign-off a process that will be automated and are these approvals in place?

  • Have all of the ‘blockers’ in the process that is being automated been removed?

  • How does the process execution in its ‘as-is’ pre-automation guise compare with process execution in its prospective Automated form?

  • What are the ‘blockers’ in specific processes?

  • Before we sign off this process for automation, are we sure that the process paths have been optimized?

  • How does the prospective automated version of the process deal with, mitigate and prevent constraints?

  • Which parts of the process cannot be automated with RPA alone, but can be executed When assisted Or Enhanced by Artificial Intelligent, Machine Learning or a Human-in-the-Loop?

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