Match infrastructure to the workload
Cloud bills grow when old resources, oversized services, and data transfer outlive the work they support. Questili reviews the workload and the bill together before recommending a change.
The result may be a smaller cloud footprint, a different service shape, a dedicated server, or a staged migration, with backups and a recovery path that someone has actually tested.
Run AI where it makes sense
Local or self-hosted AI helps when data should stay on-site, response time matters, recurring API cost is high, or a team needs direct control over the model.
A hosted API remains the right answer when it is cheaper and easier for the real job. Questili runs its own product in production, so it carries the same operational trade-offs it recommends.
Quick answers
Can Questili help reduce our cloud bill?
Yes. Questili reviews usage, architecture, and billing together to find idle resources, oversized services, avoidable transfer costs, and workloads that fit a simpler deployment.
Can Questili set up local AI?
Yes. Questili advises on hardware, model fit, deployment, and access boundaries for local or self-hosted AI, starting from the job rather than forcing every workload on-premises.