Track A · Layer 5 OPTIMISE
Paringa powered by Atmoz
Real-time AI and cloud cost management — surfacing savings and one-click fixes directly in Slack and Teams. What you can't see, you can't govern. Atmoz makes AI spend visible before it becomes a problem.
Atmoz
AI spend has become the fastest-growing unmanaged cost line in enterprise IT. Unlike cloud infrastructure spend — which is metered and visible — AI tool expenditure often originates from individual teams, personal card payments, direct API subscriptions, and ungoverned SaaS contracts that procurement never sees.
Atmoz maps the full picture: authorised AI tools, shadow AI subscriptions, developer API consumption, and cloud AI service costs — then surfaces saving opportunities and optimisation actions through the Finius agent, which operates natively inside Slack and Teams. No new portal to log into. No tickets to raise. Savings arrive where the work happens.
- Real-time AI spend visibility — maps every AI tool, API, and SaaS subscription in use. Surfaces the total cost of your AI estate, including shadow spend that procurement and finance cannot currently see.
- Finius agent in Slack/Teams — cost recommendations and one-click fixes delivered directly into the collaboration platforms your teams already use. No new tool to adopt.
- Cloud cost optimisation — identifies underutilised compute, idle cloud resources, and over-provisioned AI services across AWS, Azure, and GCP. Pairs with Paringa's SUSE engagement for organisations also optimising infrastructure.
- Shadow AI as a governance risk — ungoverned AI tools are not just a cost problem. They are a data exposure risk (PII in consumer AI tools), a compliance risk (data residency, GDPR), and a cyber risk (unmanaged attack surface). Atmoz's discovery output feeds directly into Paringa's Layer 1 DISCOVER assessment.
- AI Operational Predictability Assessment — Paringa packages Atmoz capability into a fixed-scope engagement that delivers a full AI cost and governance inventory, with a board-ready report and prioritised saving roadmap.
What's being missed
Four types of AI spend
that finance can't see.
Individuals subscribing to ChatGPT, Copilot, Claude, and Gemini on personal or corporate cards — often expensed informally or below procurement thresholds. Typically invisible to IT and finance until aggregated.
Engineering teams calling OpenAI, Anthropic, Google, or Cohere APIs directly in production code. Metered, variable, and often growing faster than the projects that caused them. No central visibility without tool-level monitoring.
AI features enabled within Salesforce, Microsoft 365 Copilot, ServiceNow, and Workday — often activated without a formal cost review. Billed as add-ons with per-seat or consumption pricing that compounds quickly at scale.
Training jobs, inference endpoints, vector databases, and GPU compute provisioned for AI workloads — often left running between uses. Cloud AI waste is the fastest-growing category of unoptimised cloud spend in 2026.
Paringa service
AI Operational
Predictability
Assessment.
Paringa's fixed-scope AI cost and governance assessment — powered by Atmoz — delivers a complete inventory of your AI estate with a board-ready saving roadmap in 30 days.
Atmoz is connected to your cloud, SaaS, and network environment. Shadow AI and authorised tools are mapped across the full estate.
Every AI cost stream is quantified — subscriptions, APIs, SaaS modules, and cloud AI services — and presented as a single total.
Finius surfaces consolidation opportunities, unused licences, over-provisioned compute, and shadow tools that can be standardised or eliminated.
Paringa delivers a prioritised saving roadmap with commercial figures — ready for board and audit committee consumption, not just IT leadership.
How much is AI
actually costing you?
Most organisations don't know. The Paringa AI Operational Predictability Assessment gives you the full picture in 30 days — total AI cost, saving opportunities, and governance gaps in a single board-ready report.
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