AI Control Point
AI Spend Management. Know the cost. Set the limits.
When AI invoices arrive, you need to know who used what, what drove the cost, and where the ceiling is. Moser's AI Control Point connects spending limits, usage reporting, alerts, and approvals to help finance and IT leaders manage enterprise AI investment.
A practical governance loop
AI use, with spending accountability.
- VisibilitySee usage and cost by user, department, and model.
- AlertsNotify the right people as spending rises.
- ControlsDefine spending ceilings and where they apply.
- ApprovalsGive additional spending a clear decision path.
The challenges behind the bill
Your AI invoice should come with answers.
Who is using AI? Which models are driving the bill? How much can a person or process spend before someone steps in? These questions become urgent as enterprise AI use grows.
Invoices are hard to explain
Finance sees the monthly bill without a clear view of the people, departments, and models behind it.
AI keeps running after hours
An unintended long-running process can continue through a weekend, adding cost without timely intervention.
Separate tools can leave a gap
A limit in one AI tool may not stop spending in another. Multiple tools can weaken the ceiling you expect.
Overages appear too late
The invoice reveals a problem after costs have already accumulated.
Unused seats keep costing you
Idle licenses go unnoticed, leaving money tied up in tools people aren't using.
Access doesn't become adoption
Teams have AI tools but need practical guidance to use them effectively.
Experience behind the service
Why a spending ceiling matters.
During an internal review, Moser calculated that one employee's weekend AI usage in June would have cost $10,000 under the token-based pricing Moser moved to two weeks later. That charge was not incurred.
The example shows how quickly AI usage can translate into significant cost. An unintended long-running process is one reason to define spending ceilings.
Talk through your AI spending limitsProjected internal exposure
$10,000
One weekend's usage, calculated under later token pricing.
A cost projection only. No $10,000 charge occurred, and this is not a client savings result.
Moser's AI Control Point
Four ways to bring AI spend under control.
Spending ceilings are the priority. Visibility, alerts, and approval workflows help finance and IT understand usage, respond to rising costs, and make deliberate decisions about additional investment.
Visibility
Give the monthly AI bill a business context.
See where money goes, who uses AI, and which tools and models they use. Usage and cost dashboards help explain spending across connected AI platforms.
- See usage by user, department, tool, and model.
- Attribute costs to departments and initiatives.
- Identify top users and unused licensed seats.
- Use reporting for consumption-based or seat-based licensing.
A fit when: The CFO needs to understand the AI invoice and IT needs to explain the usage behind it.
Discuss AI spend visibilityAlerts
See rising spend before the next invoice.
Configurable, real-time notifications tell users and managers when spending crosses the thresholds you set.
- Define usage tiers and notification thresholds.
- Send alerts through Teams, Slack, or email.
- Escalate from user to manager as spending rises.
A fit when: Budget owners are learning about overages too late.
Discuss AI spending alertsControls
Put spending ceilings at the center.
Define the limits your organization needs for AI use. Review how those limits are enforced in each platform and what is required when a person uses more than one tool.
- Configure spending limits for users and the organization.
- Manage spend tiers through Microsoft Entra ID groups.
- Identify shared-limit requirements across AI tools.
- Apply role-specific connector and model permissions.
A fit when: Finance needs a ceiling on accidental usage and IT needs to understand how limits are enforced.
Discuss AI budget controlsApprovals
Make additional spending a deliberate decision.
Give teams a defined path to request more tokens or a higher spending tier, with approval responsibilities aligned to your reporting structure.
- Define the intended manager or director for each approval path.
- Confirm routing reflects your reporting structure.
- Keep a traceable record of spending approvals.
A fit when: Department leaders need a consistent way to review requests.
Discuss AI approval workflowsThe services behind the controls
From setup to everyday use.
Configuration, integration, and hands-on enablement support the reporting, alerts, controls, and approvals your team will use.
Start with your environment
Review your current AI tools, spending, and adoption, or plan a new rollout. Define the spending ceilings, approval structure, and governance responsibilities your organization needs.
Connect the right systems
Connect supported AI usage with organizational structure, access, and ticketing workflows. Discuss your Claude or OpenAI environment alongside integration options such as Microsoft Entra ID, Microsoft 365, HRIS data, Jira, and ServiceNow.
Help your team use AI well
Choose practical workshops or request a custom session. Topics include efficient token use, AI agents, document workflows, safe data sharing, and recognizing shadow AI tools.
Put expectations in writing. A governance documentation package includes an Acceptable Use Policy, a Data Handling & Privacy addendum, and a Roles & Access matrix.
Why Moser Consulting
A partner for the decisions behind the technology.
Moser brings business priorities and technical implementation into the same conversation. AI Control Point is a focused service within Moser's developing AI portfolio, informed by experience with our own AI use.
Get to know Moser ConsultingBusiness and technical goals, together
Moser's consultants work with senior leaders to align technology and data strategy with organizational goals. AI spend governance fits into that broader business context.
Built around how your organization works
Your organization defines its spending ceilings and approval responsibilities. The conversation starts with how those decisions should work across your people, AI tools, and existing systems.
Governance with practical enablement
Reporting and controls are paired with hands-on workshops, helping your people build useful AI habits alongside spending accountability.
Who we help
For finance leaders asking what AI really costs.
Our primary focus is organizations with 500 or more employees using Claude or OpenAI tools, including ChatGPT and Codex. Smaller organizations may also be a fit when AI usage and spending justify the controls.
CFOs and finance leaders
Explain monthly AI invoices, understand who drives costs, and define spending ceilings.
Executive leaders
Understand AI investment and set expectations for spending accountability as use grows.
IT and AI platform leaders
Connect usage reporting, directory groups, and permissions. Assess how spending limits apply across tools.
Operations and department leaders
Review spending requests and help teams turn AI access into useful everyday work.
Start a conversation
Know where your AI spend goes. Decide where it stops.
Let's talk about your AI tools, data environment, monthly spending, and business goals. We'll discuss the ceilings and approval paths you need, requirements across tools, and who will operate the controls after setup.