Sold by: Mphasis
Deployed on AWS
Automates the generation of comprehensive, high-accuracy conversational AI test scenarios directly from SOPs. It intelligently extracts business rules, workflows, and functional dependencies to create both baseline and complex multi-turn test cases, while leveraging real customer data to produce realistic, production-ready QA datasets with full traceability.
Overview
SynthDilogQA is an advanced generative AI automation pipeline that eliminates the manual bottleneck of conversational AI validation. By converting internal Standard Operating Procedures (SOPs) directly into structured QA test data, it enables engineering teams to rapidly achieve complete test coverage.
The pipeline intelligently analyzes uploaded documents to automatically extract core functionalities, business rules, and procedural dependencies. Using these structured components, SynthDilogQA systematically generates both simple baseline interactions and complex, multi-turn conversational edge cases.
To ensure maximum realism, the solution securely connects to your existing databases to enrich conversational scenarios with real customer profile data. This prevents hallucinated personas and ensures virtual assistants are tested against genuinely accurate data constraints. The pipeline delivers a fully hands-off experience, outputting traceable, production-ready QA datasets in CSV and JSONL formats to drastically reduce chatbot evaluation time.
Highlights
- SynthDilogQA provides a completely hands-off automation lifecycle. Simply upload a Standard Operating Procedure document, and the pipeline automatically orchestrates the entire test generation process. It systematically breaks down complex playbooks into actionable business logic, entirely eliminating the need for manual QA dataset creation and minimizing the human error traditionally associated with chatbot validation.
- The solution intelligently extracts granular functionalities, rules, and variables from internal documents to construct a vast array of test interactions. By automatically generating both simple conversational flows and highly complex, combinatoric edge cases, it guarantees that your virtual assistants are rigorously evaluated against every possible operational scenario outlined in your business guidelines.
- Rather than relying on fabricated or hallucinated user personas, SynthDilogQA directly fetches active customer records from your existing relational databases. By enriching the generated dialogs with real-world, schema-aligned data constraints, such as actual account types or eligibility flags, it guarantees that your synthetic QA scenarios perfectly reflect the reality of your live production environments.
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Supported services
Delivery option
SynthDilogQA on Amazon ECS (Fargate)
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Operating system
Linux
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit |
|---|---|---|
Per Pipeline Run | Billed each time an SOP document is processed and the generative AI pipeline executes. | $3.00 |
Vendor refund policy
Because SynthDilogQA is billed on a pay-as-you-go, usage-based model per pipeline execution, past usage charges are generally non-refundable. You may unsubscribe at any time to prevent future charges. If you experience critical technical failures with the automated pipeline or suspect a billing error, please contact us within 30 days at https://www2.mphasis.com/AWS-Marketplace-Support-LP.html
We review exceptional circumstances on a case-by-case basis.
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Delivery details
SynthDilogQA on Amazon ECS (Fargate)
Supported services: Learn more
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Initial AWS Marketplace container release. Includes SynthDilogQA API image version 1.0.1
Validated ECR push and pull in us-east-1. No breaking changes.
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