From invisible cloud line-item to fully attributed AI spend in under 10 minutes. Purpose-built for Australian enterprise and government — with a clear upgrade path to full sovereign infrastructure.
Songlines Control® is your entry point — immediate visibility and governance with zero infrastructure changes. From there, expand to full inline enforcement and ultimately a complete sovereign stack.
Each module addresses a distinct dimension of enterprise AI control. Deploy individually or together — every module shares a single runtime layer, audit trail, and policy engine.
Real-time MTD spend, token consumption, cost savings rate, and model-level attribution across all vendors.
Step-level cost and latency breakdown per workflow run — so every AI initiative has a clear financial owner.
Intelligent routing rules: cost-optimise, latency-optimise, or enforce preferred models by policy — automatically.
Configurable guardrails: block models, cap spend, enforce data residency, and restrict access by role or workflow.
Latency percentiles, error rates, throughput, and anomaly detection with per-model and per-workflow drill-down.
Immutable, timestamped log of every AI request — full-text searchable and exportable for Privacy Act, APS AI Policy, and ISO 42001 review.
Model what your costs and performance would look like under different routing strategies — before committing to a change.
Role-based access control with per-user AI spend attribution — full visibility of who is consuming what, and at what cost.
Configurable threshold rules with webhook and email delivery — guardrails that fire before you overspend, not after the invoice arrives.
Automated discovery of 30+ known AI vendors, risk scoring 0–100, employee self-service declaration portal, and AI Risk Policy Builder — with Privacy Act and APS AI Policy 2024 alignment.
Token-level CO₂e measurement, AASB S2 one-click disclosure PDF, director liability assessment, supplier emissions ledger, and executive board pack — board-ready from day one.
Real-time policy enforcement in under 5ms — PII redaction, model restrictions, token limits, topic blocklist, cost caps, and a guardrail sandbox for testing policies before deployment.
Register, authenticate, and govern every AI agent with least-privilege access controls. Credential vaulting with automatic rotation, time-bound sessions, agent-to-agent trust policies, and continuous risk scoring.
The Economic Overview dashboard gives you a live view of every dollar your organisation spends on AI — broken down by model, workflow, team, and user. 19-model pricing tables are built in across OpenAI, Anthropic, Azure, AWS Bedrock, and Google. Cost is calculated automatically from token counts on every ingest — no manual tagging required.
Workflow Economics drills below the top-line spend number to show you exactly which steps in each workflow are consuming cost and latency. Select any workflow from the dropdown and see a per-step cost and latency breakdown — instantly identifying where optimisation will have the greatest impact.
Not every AI task requires GPT-4o or Claude 3.5 Sonnet. Without a routing layer, every call defaults to the most expensive model available. Songlines Control® fixes that at the API layer — with zero changes to your application code. Route by cost, latency, policy, or data residency requirements.
The Observability module gives you the same depth of telemetry for AI that you expect from your application performance monitoring stack. Latency percentiles, error rates, success rates, and token throughput — all live, all attributed to the model and workflow that generated them.
Every AI request is logged with a cryptographically signed, immutable record — including the model used, tokens consumed, cost, latency, routing decision, and policy outcome. The log is ISO 27001 aligned and audit-ready, meeting Australian government and enterprise compliance requirements out of the box.
The Simulation Engine lets you project the cost and performance impact of routing strategy changes before applying them to production. Compare current spend against projected spend under different scenarios — with risk ratings, latency impact, and quality impact calculated automatically from your actual usage patterns.
User Management gives administrators complete visibility of who is consuming AI resources and at what cost. Assign admin or user roles, monitor per-user request counts, token consumption, and total spend — all from a single screen. Suspend accounts instantly when access needs to be revoked.
Configure alert rules scoped to model, workflow, team, or organisation-wide with custom dollar thresholds. Deliver alerts via HMAC-signed webhooks to PagerDuty, Slack, or Teams — or via email to your finance team. Cooldown windows prevent alert fatigue once a threshold is crossed.
The Settings screen puts your most critical governance controls at your fingertips. Enable Sovereign Mode to enforce all AI traffic to sovereign-compliant endpoints only. Activate PII Auto-Redaction to automatically detect and redact personally identifiable information before it reaches any model. Require human approval for high-risk AI operations with HITL Approval Workflows.
Organisations are deploying dozens of AI agents — copilots, orchestrators, autonomous research agents, third-party integrations — but have no centralised way to know how many agents are active, define what each can access, or enforce least-privilege. Agent IAM provides the identity, authentication, and authorisation layer for every AI agent operating within your enterprise.
Songlines Control® does not just observe your AI usage — it enforces policy at the proxy layer in real time. Every request passes through a configurable guardrail stack before it reaches a model, and every response is validated before it reaches your application.
Set hard spend caps at the organisation, team, workflow, or user level. When a threshold is breached, requests are blocked or routed to a cheaper model automatically — no manual intervention required. Configurable rolling windows (hourly, daily, monthly) prevent runaway costs from a single agent loop or batch job.
Sovereign Mode enforces that all AI traffic is routed exclusively to sovereign-compliant endpoints — Australian-hosted infrastructure only. Any request that would leave the approved data residency boundary is blocked at the proxy before it is sent. This is enforced architecturally, not by policy document.
PII Auto-Redaction scans every outbound prompt for personally identifiable information — names, email addresses, phone numbers, Medicare numbers, TFNs, and more — and redacts it before the request is sent to any model. Redaction happens at the proxy layer, so your application code never needs to change.
Define exactly which AI models each team, workflow, or user is permitted to call. Block access to unapproved models entirely, or restrict to a pre-approved allowlist. Prevent shadow AI usage — where teams call models directly, bypassing governance — by routing all AI traffic through the Songlines Control® proxy.
Prompt Injection Prevention detects and blocks attempts to override system instructions, extract sensitive data, or manipulate model behaviour through adversarial inputs. This is especially critical for customer-facing AI applications and agentic workflows where user input is passed directly into prompts.
HITL Approval Workflows require a designated human approver to review and authorise high-risk AI operations before they are executed. Define which workflows, models, or request types require approval, set escalation paths, and maintain a full approval audit trail — ensuring human oversight is embedded in your AI governance framework, not bolted on afterwards.
Every guardrail in Songlines Control® operates at the API proxy layer. This means enforcement is consistent regardless of which team, tool, or application is making the AI call. There is no way to bypass a guardrail by changing application code — the policy is applied before the request ever reaches a model provider.
No changes to your existing AI code. Add a single POST request after each AI response and your spend, tokens, latency, and model breakdown appear live on the dashboard within seconds.
Log in to Songlines Control®, navigate to API Keys, and generate a key scoped to your application or team. Takes 30 seconds.
Add a single POST to /api/ingest after each AI response. The SDK snippet handles model, tokens, latency, cost, and workflow attribution automatically.
Within seconds, your AI spend, token consumption, model breakdown, and request volume appear live on the Economic Overview dashboard.
TypeScript & Python SDK snippets available in the API Keys Quick Start guide. Works alongside any existing AI stack — OpenAI, Anthropic, Azure, AWS, Google.
Deploy Songlines Control® in the model that matches your organisation's security classification, data residency requirements, and procurement constraints.
Hosted on the Manus platform in Australian data centres. Fully managed infrastructure — no servers to provision, no updates to apply.
Deployed in your own AWS, Azure, or GCP tenancy in the ap-southeast-2 (Sydney) region. Full data isolation within your existing cloud investment.
Deployed in your own data centre. Supports fully air-gapped operation with no external network dependencies — meeting the most stringent security classifications.
Songlines Control® is designed from day one for the frameworks that matter to Australian enterprise and government — not bolted on after the fact.
Australian Privacy Principles compliance with PII auto-redaction, data residency enforcement, and full audit trail for every AI interaction involving personal information.
Meets Australian Public Service requirements for AI transparency, accountability, and human oversight — including HITL approval workflows for high-risk AI operations.
Supports AI Management System certification with documented controls, risk records, and audit evidence exportable in a single click.
ACSC mitigation strategies supported through application control, patch management visibility, and privileged access management via RBAC.
Information Security Manual alignment with zero-trust architecture, SHA-256 hashed API keys, HMAC-signed payloads, and immutable audit logging.
All telemetry data is processed and stored in Australian data centres. No data leaves Australian jurisdiction — by architecture, not just policy.
Mandatory climate-related financial disclosures for large Australian entities from FY2025. Songlines Control® automates Scope 3 Category 1 AI emissions measurement and generates a ready-to-lodge AASB S2 disclosure PDF from live telemetry.
Australian Public Service agencies must maintain an inventory of AI tools in use. The Shadow AI Governance module provides automated discovery, risk scoring, and a sanctioned AI catalogue — meeting this requirement out of the box.
Under the GHG Protocol, every AI query your organisation sends to a third-party model is a Scope 3 Category 1 emission. Songlines Control® makes it measurable, reportable, and reducible — with AASB S2 mandatory disclosure beginning in FY2026.
Every AI interaction logged, attributed by team and model, and mapped to a CO₂e estimate. Auditor-ready data for AASB S2 mandatory disclosure — without changing a single workflow.
Intelligent model routing directs each query to the most efficient model capable of handling it. The result is a 30–60% reduction in both token spend and AI-related Scope 3 emissions — simultaneously.
Semantic caching serves repeated queries without sending any request to an external model. Cached queries generate zero inference emissions and zero cost.
"Your AI systems are already running. The question is whether you're in control of them."
2-week proof of concept, zero risk. We deploy, instrument your workloads, and deliver an executive readout — all within 10 business days.
Explore the live platform — real dashboards, model routing, policy engine, and audit logs. No sign-up required.