Engineering assurance for the AI SDLC
Move faster with AI. Ship with confidence.
Ajwain finds architecture, security, deployment, and operational risks before they become release blockers, audit findings, or production issues.
Built for multi-team, multi-repository engineering
AI gives individual developers more speed.
In larger engineering organizations, the bottleneck to release velocity is ensuring that AI-assisted changes meet architecture, security, deployment, and operational guidelines across teams, services, and repositories.
Ajwain turns those guidelines into automated checks across pull requests, repositories, CI pipelines, and runtime environments.
Assurance across the delivery lifecycle
Ajwain checks engineering guidelines before, during, and after release.
Review pull requests
Review AI-assisted changes before they merge.
Scan repositories
Scan existing code and configuration for guideline gaps.
Gate CI pipelines
Run required checks as part of delivery.
Audit runtime environments
Compare deployed systems against approved rules.
Two product families for AI-era engineering
Ajwain helps teams guide AI-assisted development and independently verify the work it produces.
Development Guardrails
Guide AI-assisted development with organization-specific engineering rules before and during implementation.
Learn more about Development GuardrailsAssurance Agents
Check whether changes, repositories, pipelines, and deployed systems meet architecture, security, deployment, and operational guidelines.
Learn more about Assurance Agents
Current focus: Kubernetes Assurance Agent
Checks Kubernetes, platform, security, and architecture guidelines across pull requests, repositories, CI pipelines, and runtime environments.
Find violations earlier. Fix them before they become release blockers, customer audit findings, or production issues.
Other assurance agents
Ajwain's assurance agents focus on engineering concerns that matter across large software organizations.
Architecture Assurance Agent
Reviews AI-assisted changes against architecture and design guidelines. Finds violations of approved patterns, service boundaries, dependency rules, and architectural decisions before they spread across the codebase.
Security Assurance Agent
Checks code, configuration, and deployment changes for security guideline violations. Helps teams catch risky defaults, unsafe permissions, exposed secrets, weak isolation, and policy gaps earlier in the lifecycle.
Observability Assurance Agent
Checks whether new changes include the logging, metrics, alerts, and dashboards needed to support production systems. Helps teams avoid shipping software that cannot be debugged when it fails.
Migration & Upgrade Assurance Agent
Checks whether changes follow approved migration, backward-compatibility, rollout, and rollback guidelines. Helps teams reduce risk during upgrades, schema changes, and platform transitions.
API & Contract Assurance Agent
Checks API, schema, and service-contract changes for compatibility risks. Helps teams protect consumers across repositories, services, and release cycles.
Start with the standards your teams already use
Most engineering organizations already know what good looks like.
The standards live in architecture documents, platform guides, review checklists, security requirements, incident learnings, and senior engineers' judgment.
Ajwain helps convert that knowledge into reusable instructions, automated checks, and evidence-backed findings.
Turn engineering standards into repeatable assurance.
Start with one engineering concern, one workflow, and one real repository. Build the rules together, run them where work happens, and refine the agent against actual engineering decisions.
Discuss engineering assurance