Aquila-powered optimisation

Bring cloud, AI and licensing spend under better control.

Altiatech combines managed service expertise with Aquila-powered visibility, governance and optimisation to help organisations improve financial control across cloud, AI workloads and software licensing.

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Aquila-powered FinOps AI cost governance Licensing accountability
Financial control layer

From visibility to governed action.

Control
01 Visibility Understand cloud, AI and licence usage across teams, workloads, services and cost centres.
02 Governance Set budgets, ownership, policies, showback, chargeback and approval controls for accountable adoption.
03 Optimisation Identify wasted spend, misaligned licences, underused resources and opportunities to improve value.
04 Accountability Give finance, IT and service owners clearer reporting for forecasting, ROI and reinvestment decisions.

Spend control becomes a managed rhythm. Aquila provides insight. Altiatech helps turn that insight into governed decisions and ongoing optimisation.

View pathway

Optimisation pathway

A repeatable route from spend visibility to governed optimisation.

Cost, AI and licensing optimisation works best as an operating discipline. Altiatech helps organisations use Aquila-powered insight to discover usage, baseline spend, identify waste, assign ownership and optimise continuously.

Optimisation stages

Five stages for clearer spend control and accountability.

Aquila-powered cadence
01 Discover usage

Map cloud, AI and licensing consumption

Build visibility across cloud services, AI usage, software licensing, subscriptions, suppliers, owners, environments and cost centres. Outputs
  • Usage discovery view
  • Ownership gaps
  • Initial spend signals
02 Baseline spend

Understand the current position before optimising

Establish the current cost baseline, commitments, trends, forecasting gaps, usage patterns and areas of spend exposure. Outputs
  • Spend baseline
  • Trend analysis
  • Forecasting priorities
03 Identify waste

Find the actions that improve value and control

Prioritise opportunities across idle resources, overprovisioned workloads, underused licences, duplicate tools, weak tagging and unmanaged AI usage growth. Outputs
  • Optimisation backlog
  • Waste indicators
  • Action priorities
04 Govern ownership

Assign accountability for spend decisions

Define who reviews spend, who owns usage, how budgets are monitored and how decisions are made across teams, services and suppliers. Outputs
  • Ownership model
  • Reporting cadence
  • Budget review routine
05 Optimise continuously

Turn optimisation into a managed improvement rhythm

Review progress regularly, track actions, update forecasts, monitor new usage and keep optimisation aligned to changing service demand. Outputs
  • Managed action plan
  • Progress reporting
  • Continuous optimisation rhythm

The pathway creates a stronger financial operating discipline. It helps finance, IT and service owners work from the same view of spend, usage, accountability and optimisation priorities.

Visibility · Ownership · Forecasting · Action

What the service includes

A practical optimisation pack for cloud, AI and licensing spend.

Altiatech combines Aquila-powered visibility with governance, reporting and managed service support, helping finance, IT and service owners move from cost uncertainty to clearer accountability.

Delivery pack

Six connected workstreams for spend visibility and optimisation.

Aquila-powered
Workstream 01

Cloud cost visibility

Focus

Review cloud consumption, cost trends, workload usage, resource ownership and areas where spend is difficult to explain or forecast.

Outputs
  • Cloud spend baseline
  • Usage and ownership view
  • Waste indicators
Workstream 02

AI usage and cost governance

Focus

Improve visibility of AI adoption, consumption patterns, budget exposure and the governance controls needed as AI usage grows.

Outputs
  • AI usage view
  • Cost control actions
  • Governance priorities
Workstream 03

Software licensing review

Focus

Review licensing usage, entitlements, underused subscriptions, duplicated tools and areas where licence spend needs clearer accountability.

Outputs
  • Licence usage findings
  • Unused licence indicators
  • Accountability actions
Workstream 04

Forecasting and budget controls

Focus

Strengthen forecasting, budget review, variance visibility and the routines used to monitor technology spend over time.

Outputs
  • Forecasting priorities
  • Budget review cadence
  • Variance visibility
Workstream 05

Showback, chargeback and ownership

Focus

Create clearer reporting for finance, IT and service owners so spend can be linked to teams, services, environments and business priorities.

Outputs
  • Ownership model
  • Showback options
  • Reporting structure
Workstream 06

Managed optimisation actions

Focus

Convert findings into a managed action plan, review progress regularly and keep optimisation aligned to changing usage, priorities and service demand.

Outputs
  • Optimisation backlog
  • Action tracking
  • Improvement rhythm

The output is a clearer optimisation operating model. Teams can see where spend sits, who owns it, what can be improved and how progress will be reviewed.

Visibility · Governance · Ownership · Optimisation

Aquila-powered insight layer

Aquila provides the insight layer. Altiatech turns it into action.

Aquila helps surface usage, cost and optimisation signals across cloud, AI and licensing environments. Altiatech adds the service ownership, governance rhythm and practical delivery support needed to make those signals useful.

Insight to action

What the Aquila-powered layer helps make visible.

Insight layer
Visibility 01

Cloud usage and waste signals

Identify where cloud resources, environments and workloads may be underused, overprovisioned or difficult to assign to owners.

Resource visibility Waste indicators Workload ownership
Visibility 02

AI usage and consumption trends

Understand how AI usage is growing, where costs may increase and what governance routines are needed before adoption scales further.

AI consumption view Budget exposure Usage control priorities
Visibility 03

Licensing usage and entitlement gaps

Review licences, subscriptions, entitlements and usage patterns to find underused tools, duplicated services and accountability gaps.

Licence utilisation Duplicate tools Renewal priorities
Visibility 04

Forecasting and ownership signals

Create a clearer view of where spend is heading, which teams or services own it and which decisions need a governance routine.

Forecasting signals Showback options Owner accountability
Step 01 Connect usage and spend data.
Step 02 Interpret findings in service context.
Step 03 Prioritise accountable actions.
Step 04 Review, report and optimise regularly.

Aquila makes the optimisation opportunity easier to see. Altiatech helps translate that visibility into prioritised actions, governance routines and managed improvement.

Insight · Governance · Action · Review

Savings and control signals

Savings rarely come from one place. They come from visibility and repeated action.

Altiatech helps organisations identify where cloud, AI and licensing spend can be better governed, reduced, resized or reassigned, then turns those opportunities into a managed improvement rhythm.

Opportunity map

Common sources of savings, control and accountability.

Optimisation signals
Signal 01

Idle or unused resources

Cloud services, environments or workloads may remain live without current business need, creating avoidable recurring cost.

Idle resource review Shutdown candidates Owner confirmation
Signal 02

Overprovisioned workloads

Services may be sized for historic demand, peak assumptions or default settings rather than current usage and performance needs.

Rightsizing review Usage trend analysis Performance check
Signal 03

Unused or misaligned licences

Licences and subscriptions can remain assigned after role changes, project closure or tool overlap, reducing value from committed spend.

Licence utilisation view Entitlement review Renewal priorities
Signal 04

AI usage growth without controls

AI adoption can create new consumption patterns, budget exposure and governance questions if usage is not monitored early.

AI consumption visibility Budget exposure review Usage guardrails
Signal 05

Duplicate tools and overlapping services

Similar platforms, subscriptions or cloud services can exist across different teams, reducing buying power and creating fragmented ownership.

Tool overlap review Supplier visibility Consolidation options
Signal 06

Weak tagging and cost allocation

Poor tagging, unclear cost centres and inconsistent ownership make forecasting, showback, chargeback and optimisation harder to manage.

Tagging standards Cost centre mapping Showback readiness

The aim is not simply to cut spend. The aim is to improve visibility, ownership, forecasting and value so cloud, AI and licensing decisions can be made with greater control.

Reduce waste · Improve control · Increase accountability

FinOps governance model

Optimisation needs a governance rhythm, not just a dashboard.

Altiatech helps organisations create the operating model around Aquila-powered insight, so cloud, AI and licensing spend can be reviewed, forecast, owned and improved through a repeatable FinOps cadence.

Governance model

The controls that turn optimisation into a managed discipline.

FinOps cadence
Governance 01

Budget ownership

Define who owns spend across services, environments, cost centres, AI usage, licences and supplier commitments.

Named owners Budget responsibility Approval routes
Governance 02

Tagging and allocation

Improve how cloud and service costs are tagged, mapped and reported so spend can be linked to owners and outcomes.

Tagging standards Cost centre mapping Showback readiness
Governance 03

Forecasting and variance review

Create a regular view of forecast, actual spend, variance, new demand and where usage growth needs intervention.

Forecast updates Variance visibility Demand signals
Governance 04

Showback and chargeback options

Give teams a clearer view of the spend they influence, with reporting that supports better conversations and better decisions.

Team-level reporting Service-level visibility Cost accountability
Governance 05

Policy and usage guardrails

Set rules for provisioning, AI usage, licensing allocation, renewals and approvals so new spend is easier to control.

Provisioning policy AI usage controls Renewal discipline
Governance 06

Action tracking and improvement

Turn findings into an optimisation backlog with owners, due dates, decision points and progress reporting.

Optimisation backlog Action owners Progress reporting
Step 01 Measure usage and cost.
Step 02 Assign ownership.
Step 03 Review against forecast.
Step 04 Approve actions.
Step 05 Track improvement.

The governance model creates the discipline behind the savings. It helps teams move from isolated optimisation findings to a repeatable way of managing spend, ownership and improvement.

Measure · Own · Review · Optimise

From optimisation to managed improvement

Cost control should become part of how technology is run and improved.

The value of optimisation grows when it connects into service ownership, platform improvement, AI governance and regular operational review. Altiatech helps turn cost findings into managed next steps.

Where the work can go next

Connect optimisation findings into the right Altiatech delivery route.

Managed next steps
Route 01 · Run

Managed Services

Embed optimisation actions into service ownership, reporting, monitoring, review cadence and continuous improvement.

Managed Services
Route 02 · Enable

Cloud & AI Enablement

Address platform, governance, resilience, data or AI readiness issues uncovered during the optimisation review.

Cloud & AI Enablement
Route 03 · Transform

AI Accelerator

Prioritise AI use cases, adoption controls, governance decisions and practical next steps where AI usage is creating new demand or cost exposure.

AI Accelerator
Route 04 · Procure

Public Sector

Support a governed buying route for public sector organisations that need a clear route to market, defined scope and accountable delivery.

Public Sector
Step 01 Confirm findings and owners.
Step 02 Prioritise actions and dependencies.
Step 03 Agree route into delivery.
Step 04 Track progress and governance.
Step 05 Optimise continuously.

The next step depends on what the optimisation work uncovers. Altiatech can help move findings into managed service improvement, cloud and AI enablement, AI adoption planning or a governed public sector engagement route.

Findings · Owners · Actions · Managed improvement

Cost, AI & Licensing Optimisation FAQs

Questions buyers ask before starting cost and licensing optimisation.

Optimisation programmes work best when finance, IT, procurement and service owners have a shared view of usage, ownership, forecast and action. These answers explain how Altiatech keeps the work practical.

What is Cost, AI & Licensing Optimisation?

It is a structured service that helps organisations improve visibility, forecasting, governance and accountability across cloud, AI and software licensing spend. The aim is to identify waste, reduce uncertainty and create a repeatable optimisation rhythm.

How does Aquila support the service?

Aquila provides the insight layer for usage, cost and optimisation signals. Altiatech adds service context, interpretation, governance, reporting cadence and managed action planning so findings can move into practical improvement.

Is this only cloud cost optimisation?

No. Cloud cost optimisation is an important part of the service, but the scope can also include AI consumption, software licensing, subscriptions, supplier commitments, forecasting, showback, chargeback and ownership models.

Can this help with AI cost governance?

Yes. As AI adoption grows, organisations often need better visibility of usage, budget exposure, governance controls and accountability. The service can help define practical controls before AI consumption becomes harder to manage.

Do you guarantee savings?

No responsible optimisation service should guarantee a fixed saving without reviewing the environment. Altiatech focuses on visibility, evidence-led recommendations, governance and managed action. Outcomes depend on the current estate, usage patterns, commitments and decisions taken.

How does this connect to FinOps?

The service supports a FinOps-style operating model by helping finance, IT and service owners work from a shared view of usage, budget, forecast, ownership and optimisation actions.

Can this support public sector or regulated organisations?

Yes. The approach is suitable for organisations that need clearer governance, reporting, procurement control, accountability and assurance around technology spend. Public sector buyers can also discuss suitable routes through the Public Sector page.

What happens after the optimisation review?

Findings can move into managed services, cloud and AI enablement, AI governance, licensing actions, procurement planning or a continuous optimisation cadence. The aim is to turn insight into owned, tracked and reviewed improvement.

Ready to improve cost visibility and control?

Talk to Altiatech about cloud, AI and licensing optimisation.

Bring your current spend questions, forecasting gaps, licensing concerns or AI usage challenges. Altiatech can help define a practical route from visibility to governed, managed optimisation.

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