
Haiva is an innovative Adaptive Agents platform that empowers enterprises to build & deploy multilingual, domain-specific, context-aware AI agents in minutes—no code, no data movement, no model training. Adaptive Agents connect directly to your APIs and databases to automate workflows, answer queries, and power operations in real time. From SaaS teams to call centers, Haiva protects your production data and delivers scalable automation 100x faster & 100% secure.
Haiva
Congratulations Team ! This looks promising, especially for streamlining repetitive test cases or CI/CD feedback loops. Would be great to see how easily these agents can be integrated into QA pipelines and can help with auto generation of the tests and self heal. Connecting directly to our APIs and databases raises questions around sandboxing and testing environments. No model training and no code is impressive, but I’d want clarity on how much configuration is actually needed before deployment. What’s the testability of these agents before they go live? Can these agents be validated safely before touching production data? 100% secure is a bold claim. Are there certifications, audit logs, or test reports to back this up? Loved the playground and the datasets to play
Haiva
@rajamurugan_krishnasamy Thank you so much for the thoughtful feedback and great questions!
You're absolutely right—Haiva’s Adaptive Agents are designed to streamline exactly those kinds of repetitive tasks, including QA loops, CI/CD feedback, test case generation, and more. We’ve seen promising early use cases in QA automation where agents handle regression test orchestration and environment validation with API-level granularity.
To address your questions:
Integration into QA Pipelines:
Agents can be triggered via API calls, webhooks, or schedulers—making them easy to integrate into CI/CD workflows like GitHub Actions, Jenkins, or Azure DevOps. You can also chain agents for complex validations.
Configuration Before Deployment:
There’s zero code or training, but yes—minimal configuration is needed:
Define the data/API sources
Choose an intent (or bring your own prompt)
Add constraints/policies if needed (e.g., test-only endpoints, rate limits)
Sandboxing & Validation:
We fully support sandbox environments. You can deploy agents in test mode, where they use mock or test datasets and only simulate responses—ideal for QA and compliance checks before touching production systems.
Security & Auditability:
Security is paramount. While “100% secure” sets the bar high, we back it with:
No data movement (data stays at source)
End-to-end encryption
Role-based access controls
Activity & audit logs per agent
We’re also pursuing SOC2 compliance and can provide internal test audit logs upon request.
Appreciate you trying out the playground! We'd love to demo how these agents can fit into your QA or DevOps workflows and hear more about your expectations. Let’s keep the conversation going!
– Saldin & Team Haiva
@saldin_samuel Thanks for your response. I can see the options are enormous for anyone to explore and utilise this to the fullest. Cheers
Wishing you great success as you empower businesses to create intelligent, multilingual AI agents without writing a single line of code. Here's to innovation, simplicity, and a future where AI integration is seamless and powerful.
Haiva
@jawid_nazir Thank you so much for the kind wishes and encouragement!
We’re deeply aligned with your vision—making AI integration seamless, powerful, and accessible to all, without the barriers of code or complexity.
At Haiva, we believe that innovation and simplicity can go hand in hand—and that everyone should be able to harness intelligent, multilingual AI agents to supercharge their operations.
Appreciate your support as we work toward that future together!
– Saldin & Team Haiva