Built for every team that has to answer for the change.
Seven roles, seven sets of outcomes — from the CISO signing off the control model to the on-call SRE running the remediation at 3am.
CIO / CTO — platform modernisation
Consolidate a fragmented toolchain into one governed control plane without a rip-and-replace programme. Cantilever overlays what you already own and unifies it behind a single execution layer.
Eliminate toolchain fragmentation
Replace disconnected scripts, runbooks and pipelines with a governed Service Catalog that standardises how every team provisions and operates infrastructure — without replacing the tools underneath.
Accelerate cloud transformation
Ship approved landing zones and platform patterns as versioned Stacks. Teams self-serve against pre-approved templates, so transformation timelines move without opening governance gaps.
Reduce operational risk
Policy-as-code enforcement and immutable audit logs mean every change is validated, approved and traceable. Speed and governance stop being a trade-off you have to price.
Protect existing investment
Terraform, Ansible, ServiceNow, Jira, Datadog and Splunk keep operating as they do today — connected and governed rather than replaced or re-licensed.
CISO — Zero Trust DevSecOps
Identity-driven execution, policy gates, runtime secrets and immutable audit trails. Security controls sit at every execution step rather than being applied after deployment.
Zero Trust execution architecture
Every run authenticated via OIDC/SAML, scoped with JIT least-privilege access, and terminated with automatic credential revocation. No standing privilege, no static credentials in pipelines.
Policy-as-code at every gate
OPA/Rego policies enforce infrastructure standards, tag compliance, environment scope and identity constraints before any change is applied, returning structured violation reports.
Runtime secret injection
Secrets from Vault, Akeyless, AWS KMS, Azure Key Vault and GCP KMS injected per run. Never stored in catalog templates, Ansible inventories or Terraform variables.
Compliance-ready audit trails
Immutable lineage capturing authenticated identity, applied permissions, policy decisions, inputs and outputs — evidence for SOC 2, FedRAMP, ISO 27001 and internal controls.
Platform engineer — self-service at scale
Provisioning, Day-2 operations and diagnostics as governed catalog actions. Deliver an internal developer experience without giving up standards or operational control.
Governed self-service catalog
Publish approved provisioning, configuration and diagnostic workflows as parameterised items. Teams self-serve within guardrails, with no direct access to the underlying tooling.
Stack-based reference architectures
Define approved patterns — Kubernetes clusters, database tiers, network topologies — as versioned Stacks. Consistent, compliant architectures without custom scripting or tribal knowledge.
Eliminate ticket bottlenecks
Scaling, patching, certificate rotation and diagnostics available on demand. Runbooks become executable, traceable catalog items instead of documentation.
Multi-tenant platform delivery
Serve multiple teams and business units from one instance with tenant-isolated scopes, role-based visibility and shared policy governance.
BYO automation ingestion
Bring existing Ansible playbooks, Terraform modules and pipelines into the catalog without rewriting. Execution boundaries and policy applied at ingestion.
Full execution visibility
Every run produces an immutable record with logs, inputs, outputs and approval history — complete observability without manual log aggregation.
DevSecOps engineer — AI Day-2 operations
Move from reactive support to proactive automation. Agents surface risk, context and recommendations so engineers spend time solving problems rather than finding them.
AI-assisted diagnostics
Diagnostic agents correlate execution history, inventory state and telemetry to surface probable causes and recommended actions without manual triage across disconnected systems.
Anomaly detection & pattern learning
Behavioural anomaly detection across runs identifies deviations from normal patterns — misconfiguration, drift and security anomalies — before they become incidents.
Event-driven remediation
Events from Datadog, Splunk and Elastic trigger catalog-delivered remediation automatically, closing the loop from alert to governed action inside the execution framework.
Linked change evidence
ServiceNow change records, Jira issues, Datadog deploy events and execution logs connected in a single audit-ready timeline.
Enterprise architect — multi-cloud governance
Codify reference architectures as versioned Stacks and verify continuously that they are being followed — not periodically, at review time.
Reference architecture as code
Landing zones, Kubernetes platforms and application patterns defined as versioned Stacks that codify configuration, tagging standards and metadata requirements.
Multi-cloud policy consistency
The same Policy-as-code enforcement across AWS, Azure, GCP, OCI and Kubernetes, regardless of which cloud or region a team is operating in.
Continuous drift detection
Deployed environments validated against their Stack definition in real time, with full context on what drifted, from what baseline and who owns it.
Metadata & tag governance
A centralised Tag Registry enforcing mandatory standards across provisioning workflows, with CMDB, HR and Finance taxonomies propagated via Terraform, Ansible and ServiceNow injection.
Inventory intelligence
Cross-domain inventory with dependency correlation, so architecture reviews are grounded in live resource state rather than stale CMDB snapshots.
Automated remediation paths
Drift and policy violations can trigger automated or catalog-driven remediation under the same approval gates and audit trails as any other operation.
Secure landing zones
Approval-gated landing zone automation with ITSM-linked change governance from day one — so migration programmes stay fast, secure and auditable.
Landing zone automation
Approved landing zones deployed as versioned Stacks — VPC architecture, IAM baselines, network segmentation and security controls provisioned consistently across all four clouds.
ITSM-linked change governance
Every deployment backed by a ServiceNow change record, Jira issue and immutable execution log, from initial provisioning through operational handoff.
Approval-gated promotion
Promotion from Dev to Test to Production requires policy clearance and explicit approval gate satisfaction, preventing untested configurations reaching production.
Continuous compliance validation
Post-deployment drift detection validates live configurations against approved baselines continuously, not at point-in-time audit intervals.
SRE — enterprise standardisation
The consistency, repeatability and operational confidence SRE teams need at scale — from standardised runbook execution to SLO-aware change governance and AI-assisted incident resolution.
Standardised runbook execution
Runbooks as versioned catalog items, so every engineer runs the same validated, policy-approved procedure every time, with no drift between teams or shifts.
Stack-based reliability blueprints
Health checks, circuit breakers, scaling policies and alerting thresholds defined as reusable Stacks and enforced across every service and environment.
Incident response automation
Catalog-driven incident workflows trigger Ansible diagnostics, correlated telemetry and pre-approved remediation playbooks — reducing MTTR without bypassing change control.
AI-assisted root cause analysis
Agents correlate execution history, inventory state and telemetry to surface probable root causes and remediation paths, reducing cognitive load on on-call engineers.
SLO-aware change governance
Changes evaluated against active SLO burn rates and deploy monitors before execution, with automated rollback gates enforcing reliability standards.
Drift detection & continuous compliance
Live environments validated against Stack definitions across AWS, Azure, GCP, OCI and Kubernetes, with policy-governed remediation triggered automatically or on demand.
Tell us the workflow that hurts most.
Bring one real process — a landing zone build, a patch cycle, a certificate rotation — and we will show you what it looks like governed end to end.
30 minutes · tailored to your stack · no slideware