Kalpita PromptOps · Autonomous DevOps Product
What Is Kalpita PromptOps, the Autonomous DevOps Platform for Azure?
Describe the pipeline you want. PromptOps builds it, runs it and heals its own failures — with you approving what matters.
PromptOps is an autonomous DevOps product for Azure that builds CI/CD pipelines from natural language and resolves failures automatically in under 60 seconds.
Turn a plain-English request into a governed Azure pipeline that fixes itself.
The problem
Pipelines Became the Bottleneck
Hand-written YAML is complex and brittle. Pipelines fail often, releases wait on a handful of specialist DevOps engineers, mean time to repair runs high, and configuration drifts across environments.
The work that was supposed to accelerate delivery now slows it down — and every new service multiplies the problem.
What it does
An Intelligent Automation Layer Over Azure DevOps
Engineers describe what they need in plain English; PromptOps generates and validates the pipeline, then runs it. When a run fails, PromptOps diagnoses it and resolves the failure classes it handles automatically.
Day-to-day operations happen through a conversational interface, and governance plus human approval guard every change — speed that never bypasses compliance.
Capabilities
Key Capabilities
Intent in, governed automation out — six capabilities that remove the YAML bottleneck without removing control.
AI Pipeline Generation
Plain-English requests become production-ready Azure CI/CD pipelines as standard Azure pipeline and infrastructure definitions — portable, reviewable and not proprietary to Kalpita.
Self-Healing Execution
AI agents detect and resolve failures in under 60 seconds, so a broken run heals itself instead of stalling the release.
Conversational DevOps
Run builds, releases and day-to-day operations through chat rather than consoles and one-off scripts.
Governance Guardrails
Automated validation enforces compliance on every change, so consistency is a property of the system rather than a review habit.
Human-in-the-Loop Approvals
Engineers sign off on sensitive actions before they reach production — automation proposes, people decide.
Real-Time Insights
Live pipeline health, drift detection and proactive recommendations across every environment on one dashboard.
How It Works
From a sentence to a governed, self-healing pipeline in six steps.
Describe the pipeline or operation you want in plain English.
PromptOps produces the pipeline and infrastructure definition and validates it against governance rules.
Azure DevOps executes the pipeline while PromptOps monitors the run in real time.
On failure, AI agents analyse the logs and apply a fix automatically — usually within 60 seconds.
Sensitive changes route to a human for approval before they reach production.
Live dashboards surface pipeline health, configuration drift and recommendations.
Why Kalpita PromptOps
Against hand-written, manually operated pipelines: intent in, governed automation out.
| Capability | Kalpita PromptOps | Traditional Azure DevOps |
|---|---|---|
| Pipeline creation | Plain-English prompt → validated pipeline | Hand-written YAML by specialists |
| Failure handling | Self-healing in under 60 seconds | Manual triage; high MTTR |
| Operations | Conversational and chat-based | Console- and script-driven |
| Consistency | Generated and validated — near-zero pipeline-definition errors | Drift across environments |
| Specialist dependence | Reduced — teams self-serve | Bottlenecked on DevOps engineers |
| Governance | Automated validation plus approvals | Manual reviews, uneven enforcement |
Who it's for
Standardise CI/CD Without a Specialist Queue
- Platform engineering teams standardising CI/CD across many services
- DevOps managers cutting MTTR and removing the specialist bottleneck
- Engineering leaders accelerating cloud-native delivery without losing control
- Cloud-native enterprises running microservices at scale on Azure
Azure-Native Architecture
PromptOps builds on Microsoft’s Azure AI and Azure DevOps platform services and uses Microsoft Entra ID for identity and access, so it fits an existing Microsoft estate rather than sitting beside it. It generates standard Azure pipeline and infrastructure definitions, so its output stays readable, reviewable and portable — there is no proprietary pipeline format to migrate away from later. Generation and remediation are both policy-checked before execution.
- Azure AI platform services
- Azure DevOps
- Microsoft Entra ID
- Standard, portable definitions
- Policy-checked before execution
Proof, not promises
Proven Outcomes
95%Faster Setup
Onboarding a service
Removing YAML authoring collapses the time between a new service and its first governed pipeline.
Under 60Seconds
Self-healing
PromptOps diagnoses the failure and applies a fix for the failure classes it handles — without waking an engineer. Anything out of scope is escalated with a diagnosis attached.
Near-Zero Definition Errors
Generated + validated
Every definition is produced and checked by the same governed path, so configuration drift stops recurring.
~$120K+Saved
Modelled annual effort
Reduced manual pipeline authoring and failure triage, modelled across a cloud-native delivery organisation.
Higher Reliability
Across environments
Consistent, validated definitions mean deployments behave the same in every environment they reach.
Frequently Asked Questions
Talk to Your Pipelines
Book a 30-minute demo and watch a plain-English request become a governed, self-healing Azure pipeline.
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