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AI & automation

AI Cost & Governance

Find out what your AI estate actually costs, who is using it, and what happens next. Valto reviews AI usage, licence utilisation and consumption spend across Microsoft Copilot, Copilot Studio, Azure AI and non-Microsoft platforms, then establishes the governance, ownership and controls needed to scale safely. Most organisations discover two things: licences nobody is using, and AI activity nobody has visibility of.

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Overview

Build an AI strategy that's secure, scalable and cost effective

The challenge with AI isn't getting started. It's maintaining control as adoption grows. Without clear governance, AI spending fragments. Different teams adopt different tools, capabilities overlap, licences are bought and then forgotten, and consumption costs accumulate in places nobody is monitoring. Meanwhile staff who were not given an approved tool find their own, which creates a data risk nobody has assessed. Valto brings that back under control. We establish what AI is actually being used across your organisation, what it costs, and where the money is going to no effect. From there we build the governance frameworks, ownership models and optimisation practices that let you scale AI deliberately rather than reactively. Most reviews pay for themselves. Unused licences and duplicated tooling are common, and both are straightforward to recover once you can see them.

Why invest in AI cost & governance?

Improve visibility of AI usage and spend

Understand which tools are in use, by whom, at what cost, and what value they return.

Recover spend on licences nobody uses

Identify Microsoft 365 Copilot and platform licences that are allocated but barely used and reallocate or reduce them.

Strengthen security and compliance

Establish controls that support responsible adoption, including a position on what staff may put into AI tools.

Reduce duplication across AI tools

Avoid paying for multiple platforms solving the same challenge.

Create governance frameworks for adoption

Support sustainable long-term growth with clear ownership, policies and review cycles.

Establish foundations for scale

Ensure AI can grow alongside your organisation without the cost curve growing faster.

Our AI cost & governance services

Establish the right foundations

Develop governance frameworks, ownership models and controls that support responsible AI adoption across the organisation. That includes the questions most organisations have not yet answered: what staff may put into AI tools, which platforms are approved, who owns each AI initiative, how outputs are reviewed, and how you would demonstrate responsible use if asked.

AI technologies we help govern & optimise

The right AI technology for the right challenge. Successful AI strategies are rarely built on a single platform. We help organisations evaluate, govern and optimise AI investments across Microsoft's ecosystem and beyond. Successful AI strategies are rarely built on a single platform. We help organisations evaluate, govern and optimise AI investments across Microsoft's ecosystem and beyond.

Ensure adoption is aligned with business goals while maintaining appropriate controls, permissions and governance.
Establish governance around knowledge sources, integrations, security and long-term maintainability.
Improve AI readiness through stronger governance, reporting and data management.
Deploy, govern and optimise advanced AI applications, models and agents while improving visibility and cost control.
Assess usage, establish controls and ensure AI interactions remain secure and aligned with organisational standards.
Review usage patterns, establish governance frameworks and improve visibility into AI-powered business solutions.
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Hear from our experts

Watch: Do more with Microsoft 365

Learn how Valto approaches strategy engagements, how AI is shaping boardroom conversations, and how internal Copilot use cases - like pre-sales agents and tender scoring - are delivering measurable impact.

Common AI & cost governance use cases

AI governance maturity assessment

Evaluate current AI usage, governance maturity and control gaps across the organisation, for those who have already begun adopting AI.

Copilot licence utilisation reviews

Establish how many of your Microsoft 365 Copilot licences are genuinely being used, by whom and how often, then reallocate or reduce accordingly.

Copilot adoption reviews

Understand usage patterns, identify opportunities and improve value realisation from licences you are keeping.

AI spend optimisation

Review AI platforms, licensing and consumption costs to reduce unnecessary expenditure.

Shadow AI reviews

Establish where staff are using unapproved AI tools with company data, then provide an approved alternative and a policy position rather than a prohibition nobody follows.

Azure AI Foundry migration & optimisation

Assess existing AI solutions and, where appropriate, redesign or migrate workloads into Azure AI Foundry to improve governance, operational control and cost management.

AI risk & compliance reviews

Assess security, governance and regulatory considerations, including where AI use may fall within scope of emerging regulation.

AI platform rationalisation

Reduce duplication by aligning AI investments around the most appropriate technologies.

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COMMON AI COST & GOVERNANCE CHALLENGES

Expertise for the problems that arrive after AI adoption starts

Many organisations discover that AI introduces challenges that did not exist before. Teams adopt separate tools, costs become difficult to track, governance frameworks lag behind usage, and AI initiatives struggle to demonstrate measurable value. We surface these before they compound. We help organisations address:

  • Consumption costs on Copilot Studio, Azure AI or Fabric that nobody is monitoring
  • Copilot licences allocated broadly, with no view of who is actually using them
  • Several teams paying for different tools that do the same job
  • No agreed position on what may and may not be put into an AI tool
  • Prototypes running in production without the controls production requires

Turn AI governance into business value

Governance is usually presented as a constraint. Done properly it is the opposite: it is what allows you to expand AI use confidently instead of cautiously. Our consultants target both cost and control at the outcomes the business is measured on.

Unused licences and duplicated platforms are common and straightforward to address once visible. This is usually the fastest measurable return available.
Consumption-based pricing scales with success, which is fine if it is modelled and monitored. We put the monitoring in place so growth in usage is a decision rather than a surprise on an invoice.
"How is AI being used here, and is it safe?" is a question most organisations cannot currently answer. Governance is what allows you to.
Providing an approved alternative and a clear policy is more effective than prohibition, and it moves company data out of personal accounts.
Clear ownership, controls and review cycles mean the second and third AI initiative are straightforward instead of contentious.
Usage data shows which AI investments are earning their place and which are not, so budget follows evidence.

How we deliver AI cost & governance engagements

Our five-step process is clear and transparent from start to finish. From establishing what AI is actually in use and what it costs, through to designing controls, implementing them and reviewing as adoption evolves.

  1. Man looking into clouds
    1

    Discovery

    Current state & challenges

    We review your existing AI landscape, identify governance gaps and understand where opportunities for improvement exist.

  2. Power Apps Envisioning Workshop
    2

    Assessment

    Usage, risk & cost visibility

    Together we evaluate AI tools, adoption patterns, licence utilisation, governance requirements and cost drivers across the organisation.

  3. SharePoint Consultant hosting a requirements workshop
    3

    Design

    The right governance framework

    We define policies, controls, ownership models and optimisation strategies that support responsible AI adoption.

  4. People working on computers
    4

    Implementation

    Put controls in place

    We help establish governance processes, reporting frameworks and optimisation initiatives that support long-term success.

  5. 5

    Optimisation

    Keep ahead

    As AI adoption evolves, we continuously review usage, costs and governance requirements to ensure investments remain aligned with business priorities.

We're one of the UK’s few Microsoft partners to hold all Microsoft Solution Partner designation badges, across all Solution Partner designation pathways. For our clients, that means access to specialists who understand both the opportunities and responsibilities that come with AI adoption. Whether you're looking to improve governance, optimise AI spending, rationalise platforms or establish a framework for future growth, we help organisations create practical foundations that balance innovation, security and business value.

Microsoft Solutions Partner
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Case study · Clermont Hotel Group

Embracing AI powered operations

Clermont Hotel Group strengthens systems, improves performance, and embraces AI innovation with Microsoft Fabric.

  • Stronger IT foundation
  • Future ready platform
  • Data-driven insights
Read the story

The team driving you forward

Dena Williams
Dena WilliamsBusiness Applications Business Unit Lead
Sam Gareh
Sam GarehPre-Sales Consultant
Cameron Shields
Cameron ShieldsSenior Cloud Developer
Claire Bedington
Claire BedingtonHead of People
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In an industry where expertise and trust are paramount, Valto has repeatedly demonstrated both. I would have no hesitation in recommending Valto Limited to any organisation looking for a highly professional, technically capable, and customer-focused IT partner.

Dr Dilwyn Williams

You may also be interested in

Questions, answered plainly

Practical answers on what AI actually costs, how to find spend you can recover, and how to put governance in place without stalling adoption.

We cannot say without looking, but in our experience a meaningful share of allocated licences see little genuine use, particularly where they were deployed broadly at the outset. A utilisation review establishes exactly who is using what and how often, and gives you the basis to reallocate, reduce or drive adoption. It is usually the quickest way to make an AI budget go further.
Three things, in order. Visibility first: you cannot manage consumption you cannot see. Then allocation: matching licence types and volumes to actual usage rather than to headcount. Then design: consumption costs on agents and Azure AI services are often driven by configuration choices rather than pricing, so how something is built determines what it costs to run.
We review licence allocation against real usage, consumption across platforms, and where spend is concentrated. You receive a written review setting out what is used, what is not, what it costs and what can be recovered or reallocated, with recommendations prioritised by value. It is a defined piece of work with a defined deliverable, scoped before we start.
Assume it is happening, because it usually is. Blocking rarely works; people find another route. The effective response is to establish what is being used and why, provide an approved tool that does the job, and set a clear policy on what may and may not be entered into AI tools. We help with all three, and we would rather you had a working policy than a strict one nobody follows.
The set of decisions about how AI is used in your organisation: which platforms are approved, what data may be used with them, who owns each initiative, how outputs are reviewed, and how usage and cost are monitored. It is less about restricting AI than about being able to expand its use without accumulating risk.
Usually for governance, control and cost. Solutions built quickly on other platforms often lack the monitoring, security and cost management that production use requires. Where that is the case, we assess the workload and, if appropriate, redesign or migrate it. Where the existing platform is fine, we say so.
Yes. We hold every Microsoft Solution Partner designation, and governance that only covers Microsoft tools is not governance. Your policies, ownership models and cost visibility need to cover what your organisation actually uses, which typically includes OpenAI, Claude and other services.
Mostly for the benchmark. Most organisations are assessing their own AI estate for the first time and have nothing to compare against. We have seen what typical utilisation looks like, where costs usually hide, and which controls matter as opposed to which sound reassuring. We are also willing to tell you your governance is adequate, if it is.

Free AI Cost & Governance Consultation

Ready to take control of AI adoption?

Whether you're looking to reduce AI spend, establish governance, rationalise platforms or create a framework for responsible growth, our specialists can help you see what you have before deciding what to change.

  • AI & governance specialists

    Speak directly with consultants who help organisations scale AI safely and effectively.

  • Practical advice

    Clear recommendations focused on business value, governance and long-term success.

  • Recoverable spend first

    We start by identifying what you are paying for and not using, which often funds the rest of the work.

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