Assess
Clear baseline
Baseline spend and usage
Understand cloud, AI and licensing usage, cost trends, current governance and initial optimisation signals.
Service model
A repeatable route from optimisation data to governed change.
The Altiatech and Aquila model is designed to help organisations move beyond dashboards and into a regular rhythm of review, ownership, forecasting and practical optimisation action.
How it works
ATRO aligned
Four stages for Aquila-powered optimisation.
Transition
Accountable model
Set governance and reporting
Agree budgets, owners, review cadence, reporting requirements and the practical actions to prioritise.
Run
Managed rhythm
Review usage and progress
Keep optimisation active through recurring reviews, forecasting, showback and improvement tracking.
Optimise
Continuous improvement
Reduce waste and improve control
Implement agreed actions, review outcomes, refine policies and improve forecasting over time.
Finance
Better forecasting
Support clearer conversations around budgets, trends, commitments and accountability.
IT
More useful insight
Turn cloud, AI and licensing data into practical service decisions.
Operations
Ongoing control
Make optimisation part of regular service governance, not a one-off cost exercise.
Aquila-powered optimisation
Aquila provides the insight layer. Altiatech turns it into managed action.
Aquila helps surface optimisation signals across cloud, AI usage and licensing. Altiatech adds the governance, service context and delivery discipline needed to act on those signals.
What becomes visible
Insight layer
Signals that help finance, IT and service owners make better decisions.
Cloud
Cloud spend and usage signals
Understand where cloud usage, waste, overprovisioning, idle services and forecasting gaps may need review.
AI
AI workload and consumption insight
Review AI usage patterns, cost growth, accountability and governance needs as adoption increases.
Licensing
Software licensing visibility
Identify underused licences, entitlement questions, duplicate tools and potential areas for rationalisation.
FinOps
Forecasting and ownership signals
Improve conversations around budget ownership, showback, chargeback, forecasting and decision accountability.
The model is simple: Aquila helps make the opportunity visible. Altiatech helps turn that visibility into accountable action and managed improvement.
Visibility · Governance · Action · ReviewService model
A repeatable route from optimisation data to governed change.
The Altiatech and Aquila model is designed to help organisations move beyond dashboards and into a regular rhythm of review, ownership, forecasting and practical optimisation action.
How it works
ATRO aligned
Four stages for Aquila-powered optimisation.
Assess
Clear baseline
Baseline spend and usage
Understand cloud, AI and licensing usage, cost trends, current governance and initial optimisation signals.
Transition
Accountable model
Set governance and reporting
Agree budgets, owners, review cadence, reporting requirements and the practical actions to prioritise.
Run
Managed rhythm
Review usage and progress
Keep optimisation active through recurring reviews, forecasting, showback and improvement tracking.
Optimise
Continuous improvement
Reduce waste and improve control
Implement agreed actions, review outcomes, refine policies and improve forecasting over time.
Finance
Better forecasting
Support clearer conversations around budgets, trends, commitments and accountability.
IT
More useful insight
Turn cloud, AI and licensing data into practical service decisions.
Operations
Ongoing control
Make optimisation part of regular service governance, not a one-off cost exercise.
FAQs and next steps
Questions buyers ask before using Aquila-powered optimisation.
Buyers usually want to understand what Aquila contributes, what Altiatech manages and how the model connects with FinOps, cloud, AI and licensing control.
What is the Aquila Clouds partnership?
Altiatech uses Aquila-powered visibility to support cost, AI and licensing optimisation. Aquila helps surface usage and optimisation signals, while Altiatech helps turn those signals into governed action, reporting and managed improvement.
Is this only for cloud cost optimisation?
No. Cloud cost optimisation is a key use case, but the model can also support AI usage governance, software licensing visibility, forecasting, ownership and FinOps-style operating practices.
How does this connect to Altiatech’s optimisation service?
The Aquila partnership supports Altiatech’s Cost, AI & Licensing Optimisation service by providing visibility that can be interpreted, prioritised and managed through Altiatech’s delivery model.
Does Altiatech guarantee savings?
No responsible optimisation partner should guarantee a fixed saving without understanding the environment. Altiatech focuses on improving visibility, control, accountability and the quality of optimisation decisions.
Can this support FinOps?
Yes. The model can support FinOps practices such as forecasting, budget ownership, showback, chargeback options, tagging improvement, action tracking and recurring optimisation reviews.
What happens after the initial review?
The next step is usually a prioritised optimisation backlog, agreed governance rhythm and managed review cadence. This can connect into Altiatech’s wider Managed Services model where ongoing operational support is required.
Ready to explore Aquila-powered optimisation?
Talk to Altiatech about cloud, AI and licensing visibility.
Bring your cloud cost questions, AI usage concerns, licensing challenges or FinOps goals. Altiatech can help shape a practical route from visibility to governed optimisation.