Every capability, documented in full.
A complete breakdown across the automation supply chain, policy framework, inventory intelligence, agentic AI, ITSM and diagnostics. No feature wall with nothing behind it.
The automation supply chain
Every workflow, provisioning action and remediation playbook is treated as a versioned, policy-validated artifact — from authoring and approval through execution and audit. Terraform, Ansible, CI/CD and serverless sit behind one Service Catalog.
Core catalog experience
6 featuresUnified Service Catalog
Central storefront for automation, provisioning, diagnostics and workflow services. Parameterised, version-controlled entries with environment-aware targeting across Dev, Test and Prod.
Catalog templates
Signed and promoted automation artifacts with input validation, default values and mandatory parameter enforcement. Reusable across teams and tenants.
Approval workflows
ITSM-driven approval gates embedded at catalog level. Execution is blocked until approvals are satisfied, with automatic RITM and change record creation.
Multi-tenant catalogs
Tenant-isolated catalog scopes with role-based visibility. Each business unit sees only what it is authorised to consume, under shared platform governance.
Execution history & lineage
Full lineage with run logs, input parameters, output artifacts and approval records. Every execution is immutably recorded.
Environment awareness
Environment-specific validation rules. Promotion between Dev, Test and Prod requires explicit approval and policy clearance.
Multi-engine orchestration
8 featuresTool-agnostic execution
Abstracts orchestration across Terraform, Ansible AAP, GitHub Actions, GitLab CI, Harness and serverless. Teams interact with the catalog, not engine CLIs.
Terraform / Terraform Cloud
Provisioning with plan preview, policy checks, drift detection and state management. Supports TFC workspaces and self-hosted Terraform Enterprise.
Ansible Automation Platform
Configuration management, remediation playbooks and diagnostics via AAP job templates, with credential injection and output capture.
GitHub Actions & GitLab CI
Pipeline dispatch via workflow_dispatch with parameterised inputs. Status and artifacts captured back into the execution record.
Harness & Azure DevOps
Progressive delivery, canary release management and enterprise pipelines integrated into the governance layer with change-evidence linkage.
Stack-based workflow definition
Multi-step, dependency-aware Stacks with conditional branching and output-to-input parameter passing between stages.
Serverless & KNative functions
Event-driven execution for secret rotation, health checks and compliance snapshots, with full policy enforcement.
BYO automation ingestion
Bring existing playbooks, modules and pipelines into the catalog without rewriting. Execution boundaries applied at ingestion.
Intelligent Policy Framework (CIPF)
A single identity-and-policy control plane governing every automation action from request through execution. CIPF evaluates who is running what, against what, under what conditions — and records the decision.
Zero Trust & identity
6 featuresIdentity-centric execution
OIDC/SAML integration with enterprise IdPs. Identity is propagated across every connected engine; each run is attributed to an authenticated principal.
Just-in-time access
Time-bound, least-privilege permissions issued per run, scoped to the catalog item, environment and resource set. No standing privilege retained.
Fine-grained RBAC
Role-to-service and role-to-stack enforcement, evaluated at execution time against current role assignments rather than cached at session start.
Tenant isolation
Hard and soft multi-tenant boundaries. Execution contexts, catalog scopes and resource targets are strictly isolated.
Environment segmentation
Dev, Test and Prod enforced as distinct security domains with explicit policy clearance required for promotion.
Immutable execution lineage
Tamper-proof records of identity, permissions, policy decisions, inputs and outputs — evidence-ready for SOC 2, FedRAMP and ISO 27001.
Policy enforcement engine
6 featuresPre-execution policy validation
OPA/Rego guardrails evaluated before execution. Failures block the run and return a structured violation report with remediation guidance.
Terraform plan policy checks
Policies inspect resource types, counts, regions and configuration attributes in the plan output before apply is permitted.
Cross-tag validation
Executions that would produce untagged or incorrectly tagged resources are blocked at the gate with specific violation details.
Environment-specific policies
Production policy sets add change-window validation, CMDB CI verification and mandatory approval requirements.
Immutable audit logs
Every ALLOW and DENY captured with the evaluating policy name, input context and timestamp.
Tag Registry & metadata governance
Authoritative tag catalog with mandatory/optional enforcement across AWS, Azure, GCP, OCI and Kubernetes, integrated with CMDB, HR and Finance taxonomies.
Inventory & asset intelligence
Real-time multi-cloud discovery with cross-domain dependency correlation. Every automation decision is inventory-aware — what exists, who owns it, what depends on it, and whether it has drifted.
Discovery & correlation
6 featuresMulti-cloud inventory
Live discovery across AWS, Azure, GCP and OCI — compute, networking, storage, IAM, managed services and serverless, normalised into one schema.
Kubernetes inventory
Clusters, namespaces, deployments, services, ConfigMaps and workload metadata — including OpenShift and RKE2 — in the cross-cloud resource graph.
Database inventory
Relational and managed database discovery capturing engine type, version, tier, connectivity and ownership metadata.
Dependency correlation
Infrastructure ↔ platform ↔ database mapping. See the full blast radius, downstream consumers and shared dependencies before executing.
Inventory-driven targeting
Scope automation by tag, owner, environment, region or dependency relationship rather than hard-coded identifiers.
Drift detection
Continuous validation of live state against approved Stack definitions, with alerts and catalog-driven remediation paths.
Agentic AI & agents
21 named agents embedded across every domain — not a chatbot bolted on, but an execution-aware intelligence layer on LangGraph orchestration, MCP servers and a RAG/vector knowledge store. Agents understand context, policy and inventory before acting.
Core AI capabilities
6 featuresAI-assisted diagnostics
Pattern recognition across execution history, telemetry and inventory to surface probable causes and recommended actions without manual log triage.
Execution pattern learning
Behavioural anomaly detection per catalog item, environment and team — surfacing misconfiguration, drift and security anomalies.
Natural language queries
Query resource state, execution history and dependency relationships in plain language, without writing structured queries.
Intent-to-execution translation
Agents select the correct template, infer parameters from inventory context and validate scope, then surface a structured plan for approval.
Risk scoring & blast radius
Pre-execution risk assessment combining dependency data, policy results and historical outcomes into a per-run score and blast-radius estimate.
RCA & predictive operations
Ranked hypothesis chains with supporting evidence across logs, telemetry and lineage; emerging failure patterns identified before incidents.
ITSM & service management
Change governance that writes itself. ServiceNow, Jira and Confluence are stitched into the execution timeline so the paperwork is a product of the work, not a separate task.
Service management integration
5 featuresServiceNow RITM & CMDB
Request items, CMDB context injection and full change lifecycle governance with status feedback into the execution record.
Change lifecycle governance
Change records created, linked and closed against real execution outcomes rather than manually reconciled after the fact.
Jira linkage
Story, issue and sprint traceability connecting delivery work to the infrastructure changes it produced.
Confluence documentation
Automated documentation updates so runbooks and architecture pages track what actually shipped.
End-to-end traceability
A single timeline from request through approval, policy decision, execution and observability signal.
Diagnostics & observability
A catalog-delivered diagnostics microservice with Ansible-based checks, wired into your telemetry so alerts can trigger governed remediation instead of a page.
Diagnostics & telemetry
4 featuresDiagnostics microservice
Catalog-delivered diagnostic workflows with Ansible-based checks, executed under the same policy and audit controls as any other run.
Datadog, Splunk & Elastic
Telemetry integration for SLO monitoring, deploy gating and correlation during incident investigation.
Event-driven remediation
Observability events trigger catalog-delivered remediation workflows automatically, closing the loop from alert to governed action.
SLO-aware change gates
Deployments evaluated against active SLO burn rates and deploy monitors before execution proceeds, with automated rollback gates.
Secrets & credential hardening
Credentials that exist only for the length of a run, injected at execution time, never written into a template or an inventory file.
Credential controls
4 featuresDynamic credential issuance
Short-lived credentials issued per run and revoked on completion.
Vault, Akeyless & cloud KMS
HashiCorp Vault, Akeyless, AWS KMS, Azure Key Vault and GCP KMS integration.
Runtime secret injection
Secrets injected at execution time — never stored in catalog templates, Ansible inventories or Terraform variables.
Credential drift detection
Detection of credential configuration drift across connected engines and environments.
FinOps & cost governance
Spend is treated as a policy input, not a monthly report. Estimated cost is evaluated at the same gate as security and compliance, and allocation metadata is enforced at provisioning time so showback and chargeback are possible without a reconciliation project.
Cost governance & allocation
6 featuresPre-execution cost estimation
Terraform plan output is priced before approval. Reviewers see the monthly spend delta next to the resource diff, so cost is a decision input rather than a discovery next quarter.
Budget policy gates
OPA/Rego policies evaluate estimated spend against thresholds, remaining budget or forecast variance. Runs that breach can be blocked outright or escalated for additional approval.
Tag-driven cost allocation
The Tag Registry enforces cost-centre, owner and business-unit tags at provisioning time across AWS, Azure, GCP, OCI and Kubernetes — the untagged-resource problem is prevented, not reported.
Cost-aware inventory correlation
Billing and usage data joined to the live inventory graph, so spend is attributable to a resource, an owner, a service and the execution that created it.
Showback & chargeback reporting
Allocation views by team, business unit, environment and application, sourced from enforced tags rather than best-effort spreadsheets.
Forecast variance detection
Deviation between forecast and actual spend surfaced against the executions and configuration changes that caused it.
Cost optimisation automation
6 featuresIdle & orphaned resource detection
Inventory-driven identification of unattached volumes, idle instances, stale snapshots and orphaned load balancers, with catalog-delivered cleanup workflows.
Rightsizing remediation
Optimisation recommendations delivered as governed catalog items, so acting on them still passes through approval, policy and audit.
Scheduled start / stop automation
Non-production environment scheduling as a catalog service, with policy-enforced exceptions for environments that must stay up.
Commitment & reservation coverage
Visibility into Reserved Instance, Savings Plan and committed-use coverage against live inventory, highlighting uncovered steady-state workloads.
Kubernetes cost allocation
Namespace, workload and team-level cost attribution via Kubecost and OpenCost, correlated to the cluster inventory graph.
AI cost anomaly detection
Agents learn normal spend patterns per team, environment and service, flagging anomalies with the probable causal change rather than a raw billing alert.
Integration coverage
Cantilever sits above your toolchain. These are the systems it governs, reads and writes today.
Coverage
6 featuresCloud & Kubernetes
AWS, Azure, GCP, OCI, OpenShift, RKE2, EKS, AKS, GKE.
CI/CD & IaC
Terraform / Terraform Cloud, Ansible Automation Platform, GitHub Actions, GitLab CI, Harness, Azure DevOps.
Security & IAM
OIDC/SAML, HashiCorp Vault, Akeyless, AWS KMS, Azure Key Vault, GCP KMS, OPA/Rego.
ITSM & observability
ServiceNow, Jira, Confluence, Datadog, Splunk, Elastic.
FinOps & cost
Infracost, AWS Cost Explorer/CUR, Azure Cost Management, GCP Billing, Apptio Cloudability, CloudHealth, Kubecost, OpenCost.
AI & models
Anthropic (Claude), AWS Bedrock, OpenAI, IBM watsonx, private/self-hosted model deployment for sovereign environments.
Want this mapped to your environment?
An architecture review walks the capability set against your actual toolchain, identity model and compliance obligations — and tells you what a deployment would really involve.
30 minutes · tailored to your stack · no slideware