Get Microsoft Licensing Intelligence
Join enterprise IT leaders receiving our monthly advisory on Microsoft EA negotiations, Azure optimisation, and GenAI procurement strategies.
By Fredrik Filipsson · August 2025 · Advisory Guide · Audience: CIO / CFO / Procurement / IT Finance
01 Aligning Azure OpenAI with Your Committed Spend
Azure OpenAI consumption can count toward your MACC, but only if you set things up correctly. Follow these steps to ensure every Azure OpenAI dollar draws down your commitment so you do not end up paying beyond your budget.
Deploy Under Your EA
Use an Azure subscription in your Enterprise Agreement for all Azure OpenAI usage. Consumption in any non-EA (pay-as-you-go) subscription will not count toward your MACC.
Confirm Eligibility
Check with Microsoft (and in your billing portal) that Azure OpenAI charges are tagged as MACC-eligible. They should be (it is a first-party service), but double-check so nothing is missed.
Monitor Usage
Track Azure OpenAI costs in your cost management reports to ensure they subtract from your committed balance. If any usage is not counting toward the commitment, escalate it immediately.
Fix Exceptions
If some Azure OpenAI costs are not eligible by default (e.g. a marketplace add-on), ask Microsoft for a solution. This may involve a contract carve-out or amendment to avoid being penalised for that spend.
02 Maximising Value: Burning Down Your AI Budget
Once Azure OpenAI is under your MACC, use it deliberately to get full value.
Plan and Utilise
Budget for Azure OpenAI in your cloud plan. Estimate the number of tokens or requests you will use and ensure it fits within your committed amount. If mid-year you are below your target consumption, accelerate AI projects to utilise the remaining funds.
Consider Reserved Capacity
For steady high usage, Azure OpenAI offers reserved capacity at a discounted flat rate. Committing to fixed AI capacity for a term unlocks significant savings, and it still counts toward your MACC.
Consumption Approach Comparison
| Option | Payment Model | Commitment? | Pros | Cons |
|---|---|---|---|---|
| Pay-as-You-Go | Standard pay-per-use rates; no upfront commitment | None | Full flexibility. Scale usage up or down freely. No obligation if you stop using it. | No discounts. Full list price per unit. Costs can spike unpredictably with heavy use. |
| EA Commitment (MACC drawdown) | Pay-per-use, but charges draw down your prepaid Azure commitment | Indirect (part of overall Azure commit) | Uses budget you have already committed (no surprise bills). Can negotiate better rates for high volume. | Requires good forecasting to avoid over/under spend. Less flexible to trim AI costs without adjusting the EA. |
| Reserved Capacity (prepaid) | Pre-pay a fixed rate for dedicated AI capacity (month or year term) | Yes, for the term | Lower unit costs (big discounts for term commitment). Guaranteed capacity for mission-critical apps. | Locked-in cost regardless of actual use (use it or lose it). Less agility if needs change mid-term. |
03 Negotiation Tactics and When to Seek Carve-Outs
Negotiating Azure OpenAI at enterprise scale is crucial. Key tactics include:
Ask for Discounts
Microsoft will not offer volume discounts on Azure OpenAI unless you request them. If you anticipate high usage, bring your forecast and request a more favourable rate per unit (or credits). Microsoft is often willing to reduce pricing or provide credits in exchange for a committed volume.
Bundle with Caution
When renewing or expanding your EA, consider bundling Azure OpenAI as part of the deal. Microsoft is eager to boost AI adoption, so committing to a dedicated AI spend can yield additional benefits (lower token rates, funded pilot programmes). Be careful not to overcommit. Start with a modest usage estimate you are confident in, since you can scale up later.
Use Carve-Outs for Flexibility
If there is high uncertainty, negotiate carve-out clauses. For example, if Azure OpenAI is a pilot, agree that any shortfall in that specific usage will not count against your overall commitment. Carve-outs act as insurance against unpredictable AI uptake.
— Fredrik Filipsson, Co-Founder, Redress Compliance
Vendor Shield: Microsoft EA & Azure OpenAI Advisory
Our Microsoft specialists help enterprises structure Azure OpenAI under MACC, negotiate volume discounts, implement carve-outs for uncertain AI workloads, and maximise the value of committed Azure spend.
04 Recommendations
Make AI Part of the Plan
Include Azure OpenAI in your Enterprise Agreement from the start. Your negotiated terms govern its usage and it counts toward your committed spend.
Negotiate AI Incentives
Leverage Microsoft's enthusiasm for AI. Ask for AI-specific perks: a better price per token or a pool of Azure credits for initial projects. These incentives often exist for big customers, but you must ask.
Secure the Terms
Ensure your contract's protections extend to Azure OpenAI. Verify that data privacy, security, and liability clauses cover this service. Address any unique risks explicitly.
Monitor and Adapt
After deployment, track Azure OpenAI usage against your forecasts. If usage trends much higher or lower, engage Microsoft early. You might adjust reservations or terms mid-stream instead of waiting until renewal.
Learn from Others
Talk to peers or advisors who have Azure OpenAI deals. Knowing what discounts or terms others have achieved (such as 15% off at a certain volume) gives you leverage and encourages Microsoft to meet market standards.
05 Checklist: 5 Actions to Take
MACC & Azure OpenAI Action Plan
Project Your AI Use
Estimate how much Azure OpenAI you will use (tokens, requests per month). Solid projections set the stage for negotiations and commitments.
Confirm MACC Coverage
Obtain written confirmation that Azure OpenAI spend will be counted toward your Azure commitment. Include this in the contract or an official email from Microsoft.
List Key Requirements
Outline must-have terms and safeguards (data handling, IP ownership of outputs, performance SLA, etc.). Use this list in negotiations to ensure each point is addressed.
Plan Give-and-Take
Decide what you can commit (higher spend, longer term) and what you need in return (discounts, credits, special terms). Enter talks knowing your trade-offs.
Set Oversight
Assign team members to monitor Azure OpenAI usage and costs. Implement spend alerts and regular reviews with Microsoft. This governance ensures you capture intended value and can course-correct.
Frequently Asked Questions
Yes. Microsoft allows mid-term additions via an EA amendment. Align the addition's end date with your EA so you can revisit it at renewal. This avoids creating a separate contract with different terms and ensures Azure OpenAI falls under your existing negotiated protections.
You will pay the overage at your negotiated rate. Then talk to Microsoft about raising your commitment. They may offer credits or better pricing if you formalise the higher usage. If usage falls significantly below your commitment, a carve-out clause can help you avoid paying for unused spend. Active monitoring and early engagement with Microsoft are the best safeguards.
Not automatically, but you can negotiate one. If you commit to a high volume, Microsoft might lower your unit prices or provide some free usage. Large customers often get custom deals. Come to the table with projected usage data and competitive alternatives to strengthen your position.
By default, no. Azure OpenAI's terms guarantee your prompts and outputs remain private and are not used to improve the models. Ensure that this is included in writing in your contract so it is clear your data remains confidential and you retain ownership of the outputs. If you handle highly sensitive data, consider negotiating the content logging opt-out for additional protection.
Set budgets and alerts in Azure Cost Management for your Azure OpenAI service. Internally, require approval for any major increases in usage. Contractually, include a clause allowing adjustments (such as scaling a reservation or obtaining a better rate) if you significantly exceed forecasts. Active monitoring is your best safeguard against surprises. Catching a spike early lets you optimise before it becomes a budget issue.
📚 Related Reading: Azure OpenAI & Microsoft Licensing
How to Negotiate Azure OpenAI with Microsoft → Forecasting & Budgeting for Azure OpenAI → Azure OpenAI Pricing Explained → Microsoft AI Services Terms → Reserved Capacity vs Pay-as-You-Go → Microsoft Contract Negotiation Service →Microsoft Advisory Services
Service
Microsoft Contract Negotiation
Service
Microsoft EA Optimisation
Service
How to Negotiate Azure OpenAI
Article
Forecasting & Budgeting
Article
Azure OpenAI Pricing Explained
Article
Microsoft AI Services Terms
Article
Microsoft Knowledge Hub
Knowledge Hub
Need Help with MACC & Azure OpenAI Negotiation?
Whether you are structuring Azure OpenAI under your MACC, negotiating volume discounts, or implementing carve-outs for uncertain AI workloads, our Microsoft advisory specialists help enterprises secure commercially favourable terms and maximise the value of their committed Azure spend.