Start by listing every cost line item—compute hours, storage, network, and security. Then compare each against the ROI of the AI feature. For security, pick the lowest‑impact measures that still give you the needed compliance: use encrypted storage, limit access to the model, and run regular vulnerability scans. If a full‑blown firewall or dedicated security team is too pricey, set up a lightweight monitoring script and enforce strict IAM policies. Finally, run a quick break‑even analysis: if the cost of adding one extra layer of security takes the project past the budget, either slim the model or find a cheaper cloud provider. Keep the checklist handy and tick it off each month to stay on track.

Sounds like a solid plan. Just keep the checklist updated and double‑check each month that every line item still lines up with the projected ROI. If something starts creeping up, flag it right away and look for a quick cost‑cut or a better provider. That way you stay tight on the budget without compromising the model’s performance or your security posture.