Client context and problem
A provider of cloud contact-center software with AI-enhanced features and CRM integrations wanted to improve test automation and reduce repetitive QA work.
Anbosoft’s contribution
Understand the product and acceptance criteria
QA engineers reviewed the product and infrastructure, implemented Python test automation against the client’s acceptance criteria and demonstrated the scripts.
Cover integrations and environments
Automation covered the admin panel, CRM integrations, telephony, reporting and dashboards. Engineers adapted domain selection in the tests to the application’s virtual-machine environments.
Standardize the automation process
Anbosoft documented how test cases were automated and created guidelines for teams using different workflows. Test cases were reviewed before deciding what to automate.
Results and evidence
The work established a shared approach to test-case automation and guidelines for ongoing maintenance. The testing scope focused on software workflows and integrations around the product’s AI-enhanced features.
Project dates and quantitative performance results are not disclosed in this public summary.
Technologies & Tools
- Python
- PyCharm
- GitLab
- Docker
- Rancher
- VNC Viewer
- Kibana
- Elasticsearch
- Jira
- Confluence
- Slack
About this client summary
This public case study is presented anonymously. The client’s identity and internal project records are not disclosed.