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.
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. |
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.
"MACC is one of the most underutilised levers in Azure OpenAI negotiations. The enterprises that capture the most value are those that deliberately structure their Azure OpenAI consumption to draw down pre-committed spend — turning what would have been incremental AI cost into utilisation of budget they have already committed. The key is confirming MACC eligibility in writing, forecasting consumption accurately, and negotiating carve-outs for any uncertain AI workloads so a shortfall does not penalise your overall commitment."
— Fredrik Filipsson, Co-Founder, Redress Compliance
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.
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.