Enterprise automation engineered for long-term operations.

Typical problems

• —Playbooks that only their author can safely run
• —No testing, so every change is a production experiment
• —Copy-pasted content duplicated across teams
• —Automation nobody can audit or hand over

Approach

Start from the estate you already have: inventory what exists, find what can be reused, and rebuild the rest as roles and collections with tests and documentation as a condition of done. Standards are written down and enforced in CI, not left as convention.

Deliverables

• ✓ Ansible playbooks, roles and collections
• ✓ Workflow automation
• ✓ Written automation standards
• ✓ Molecule and lint pipelines
• ✓ Documentation and handover

Typical problems

• —AWX installed years ago and now unupgradeable
• —Execution Environments built by hand, drifting per team
• —No RBAC model, so everyone is an admin
• —Platform changes made in the UI and lost

Approach

Rebuild the platform on the operator, declare it in Git, and make upgrades a routine rehearsed operation. Execution Environments get a build pipeline and a private registry. Access follows a real RBAC model mapped to your identity provider.

Deliverables

• ✓ AWX and AAP architecture
• ✓ Automation Controller design
• ✓ Kubernetes / OpenShift deployment via AWX Operator
• ✓ Execution Environment build pipeline
• ✓ Private registry
• ✓ RBAC model
• ✓ Upgrade and migration runbooks
• ✓ GitOps and IaC

Typical problems

• —LLM pilots with unrestricted access to production systems
• —No record of what a model was told or allowed to do
• —Incident data sent to third parties without anonymization
• —Assistants that recommend actions nobody can verify

Approach

AI gets scoped tools, not credentials. Every integration goes through an orchestration layer that anonymizes incident data, records what was retrieved and returned, and requires human approval for any change. Read-only by default; write paths are explicit and audited.

Deliverables

• ✓ MCP tool integrations
• ✓ RAG over approved internal sources
• ✓ FastAPI orchestration services
• ✓ Copilot workflows
• ✓ ServiceNow tool integrations
• ✓ Incident-data anonymization
• ✓ Governance and audit records

Typical problems

• —Credentials hard-coded in playbooks and pipelines
• —Automation that bypasses change management
• —No CMDB record of what automation touched
• —Compliance evidence assembled by hand before an audit

Approach

Wire automation into the systems your organization already trusts: secrets from Vault or CyberArk, identity from AD or Azure AD, change records in ServiceNow, logs in Splunk. Security gates run in CI so a non-compliant change cannot reach production.

Deliverables

• ✓ Vault and CyberArk integration
• ✓ LDAP / Active Directory and Azure AD
• ✓ ServiceNow and CMDB integration
• ✓ Microsoft Graph
• ✓ Splunk logging
• ✓ CI/CD pipelines
• ✓ Security and compliance gates