The AI-Powered Chatbot that will speed up your migration from Celonis to SAP Signavio
Qiado´s AI-powered migration solution focuses on accelerating a key aspect of transitioning from Celonis to SAP Signavio: translating PQL queries to Signal for app logic recreation. By automating this complex and time-consuming process, we deliver significant benefits to organizations undertaking this transition.
The bot significantly accelerates the core logic migration, unlocking substantial value for process mining experts and developers, ensuring a precise, efficient, and technically sound transition
How Qiado´s AI-Powered Chatbot accelerates your migration
The chatbot instantly and accurately converts PQL queries to Signal equivalent and handles nested queries and complex logic.
Real-time PQL to Signal Translation
It understands the intent behind PQL queries and suggests optimal Signal implementations
Intelligent Context-Aware Query Interpretation
Interprets complex query contexts and data structures, offers tailored advice on best practices and optimization techniques
Best Practice Recommendations
The Chatbot identifies potential issues in translated queries and proactively offers solutions for common migration pitfalls.
Automated Error Checking
“Without the chatbot, we would still be coding the Celonis Contract lease Management app in SAP Signavio”
André Magalhães
Qiado Celonis & SAP Signavio Expert
Unlock faster results migrating to SAP Signavio
What used to take weeks can now be accomplished in days!
Up to 50% reduction in migration time
The Chatbot helps you reduce manual coding and minimize errors in query translation, ensuring data integrity and analytical continuity.
Estimated 70% reduction in errors and delays
The chatbot evolves with each new migration, ensuring up-to-date support, and incorporates insights from complex use cases like Contract Lease Management processes.
Continuous Improvement
Our chatbot minimizes the need for extensive human resources, making migrations more manageable and cost-effective.
Operational Efficient
Automated consistency checks ensure query logic integrity throughout the migration.
Reduced Risk of Functionality Loss
Enhance the learning curve for teams transitioning to SAP Signavio, promoting rapid adoption.
Team Empowerment
The chatbot successfully interact with users
The user inputs a Process Query Language (PQL) query into the system, defining the process mining logic that needs to be migrated from Celonis to SAP Signavio.
User Inputs PQL Query
AI engine analyzes the PQL query by breaking it into structural components. It assesses the query within the broader process mining framework, considering for e.g data sources, operations, and desired outcomes.
AI Analyzes Query Structure and Context
Machine Learning Model Translates PQL to Signal
The system employs a sophisticated machine learning model to translate the PQL query into Signal, SAP Signavio's process mining language. Trained on a large dataset of PQL and Signal queries, the model ensures precise and contextually relevant translations.
Optimization Algorithms Suggest Smart Improvements
The translated Signal query is further optimized through advanced algorithms that suggest improvements to enhance performance, efficiency, and accuracy. It ensures the query follows best practices and delivers the best possible results.
User Receives Translated Query with Detailed Explanations
The user receives the translated Signal query with comprehensive explanations that offer insights into the translation process, including adjustments and optimizations. It helps the user understand the reasoning behind the final output.
Feedback Loop Enhances Accuracy Over Time
The system includes a feedback loop that collects and analyzes user feedback on the translations. This input is utilized to continuously train and enhance the machine learning model, progressively improving the system's accuracy and performance with each interaction.