Keep infrastructure cost aligned with recurring revenue.
Review compute, databases, environments, observability, and commitments as customer usage grows.
View SaaS pathAWS savings use cases
Find the AWS savings path that fits your workload.
Different teams waste cloud budget in different places. SaveAWS helps SaaS, AI, e-commerce, gaming, agencies, and migration teams combine partner billing savings, practical cost review, and flexible payment support.
5%-40% savings range
No workload changes required to start
Startup and migration friendly
Representative customers
Trusted by teams building AI, commerce, gaming, software, and global digital products.
SaveAWS supports companies with different workload profiles, from AI model usage and media traffic to e-commerce growth, healthcare platforms, and multi-region applications.
Industry scenarios
Use cases built around real AWS cost pressure.
Start from the scenario closest to your business. Each path focuses on where AWS spend usually grows, what to review first, and how SaveAWS can help without turning savings into a heavy consulting project.
Control model usage before experiments become monthly burn.
Map Amazon Bedrock model access, model selection, inference patterns, training, storage, data pipelines, vector databases, and GPU-heavy usage.
View AI pathHandle campaign spikes without paying peak costs all year.
Review seasonal capacity, CDN, storage, analytics, and payment flexibility for cross-border teams.
View commerce pathLaunch globally with clearer traffic and delivery economics.
Evaluate game backend, low-latency delivery, object storage, CDN, and regional rollout costs.
View gaming pathSupport multiple client workloads with cleaner billing visibility.
Separate account structures, client invoices, payment workflows, and repeatable savings reviews.
View agency pathMove to AWS with a cost plan before the migration starts.
Estimate AWS run-rate, phase the migration, and identify eligible migration billing savings.
View migration pathSavings playbooks
What we usually check first for each use case.
01
SaaS startups and B2B products
Best when monthly AWS spend is growing alongside users, tenants, environments, or data volume.
Cost signals
- Production and staging environments never scale down
- Databases grow faster than revenue
- Observability and logs become a hidden cost center
SaveAWS path
- Partner billing savings review
- Compute, database, storage, and commitment check
- Startup credit readiness if eligible
Outcome
- Cleaner unit economics
- Lower monthly AWS bill pressure
- Better spend visibility for founders and finance
02
AI applications and data-heavy teams
Best for teams using Amazon Bedrock, AWS inference, model experiments, analytics, vector search, or data pipelines.
Cost signals
- Amazon Bedrock model usage grows before teams know which model fits
- GPU or high-memory instances are hard to forecast
- Training data, snapshots, and logs accumulate quickly
- Inference usage changes faster than budgets
SaveAWS path
- Usage and billing pattern review
- Amazon Bedrock model access, model selection, and usage planning support
- Storage, data transfer, and compute optimization map
- AWS AI and startup program direction where relevant
Outcome
- Clearer Bedrock model choice and access path
- Lower avoidable experiment waste
- Clearer monthly AI run-rate
- Better path for scaling inference or data workloads
03
E-commerce and marketplace teams
Best when traffic, promotions, analytics, and regional payment constraints shape cloud spend.
Cost signals
- Campaign peaks force over-provisioning
- Storage, CDN, and analytics bills rise after events
- Finance teams need local currency or USD workflows
SaveAWS path
- Peak vs. baseline spend review
- CloudFront, storage, compute, and database checks
- Flexible payment options where commercially available
Outcome
- Reduced year-round overpayment
- More predictable campaign planning
- Simpler cross-border billing operations
04
Gaming, media, and high-traffic launches
Best for teams with bursty users, low-latency delivery needs, and heavy asset distribution.
Cost signals
- Launch traffic spikes are expensive and unpredictable
- CDN, storage, and transfer costs dominate the bill
- Regional rollout choices change unit costs
SaveAWS path
- Pre-launch AWS spend estimate
- Delivery, storage, and backend cost review
- Billing savings and migration support if moving to AWS
Outcome
- Lower launch cost uncertainty
- Clearer global delivery economics
- Better planning for high-traffic windows
05
Agencies and multi-client operators
Best for teams managing several AWS accounts, client projects, or recurring infrastructure retainers.
Cost signals
- Client accounts are billed in inconsistent ways
- Unused resources stay live after projects slow down
- Finance teams need cleaner monthly pass-through billing
SaveAWS path
- Billing structure and account review
- Repeatable cost audit for client environments
- Payment workflow support for regional clients
Outcome
- Cleaner client billing visibility
- Lower waste across managed accounts
- A more repeatable AWS savings offer
06
Cloud migration to AWS
Best for teams comparing clouds, moving from self-hosted infrastructure, or planning a staged AWS migration.
Cost signals
- AWS target cost is unclear before the move
- Downtime and migration scope need phased planning
- Existing vendor billing is hard to compare with AWS
SaveAWS path
- Current infrastructure and dependency review
- AWS run-rate and migration phase estimate
- Eligible migration billing discount assessment
Outcome
- Clearer migration business case
- More predictable AWS starting cost
- Practical next step before engineering work begins
Spend patterns
Not sure which category fits? Start with the shape of your AWS bill.
Use cases are useful, but the fastest savings signal is often the cost pattern: steady baseline, launch spike, migration estimate, unused resources, or payment friction.
How the review works
From use case to first savings estimate in a simple path.
Choose a scenario
Tell us whether you are SaaS, AI, commerce, gaming, agency, or migration-led.
Share spend context
Send a current bill, expected run-rate, or migration plan. No root access is needed to start.
Map savings layers
We check partner billing, optimization, startup credits, migration, and payment options.
Pick the next step
You get a practical recommendation for the simplest AWS savings path.
Use case FAQ
Questions teams ask when matching AWS savings to their workload.
Do we need to fit one exact use case?
No. Many customers combine several patterns, such as SaaS plus AI workloads or e-commerce plus cross-border payment needs. We use the closest scenario as a starting point.
Can SaveAWS help if we are already on AWS?
Yes. Existing AWS customers can start with billing savings and cost optimization review without changing workloads, IAM users, services, or architecture.
Can SaveAWS help before we migrate to AWS?
Yes. We can review your current infrastructure, estimate AWS run-rate, and identify migration savings opportunities before engineering work begins.
Which use cases are best for startup credit guidance?
AI, SaaS, gaming, data, and technology startups are common fits, but eligibility depends on company stage, workload, program route, and AWS criteria.
What information should we send first?
A recent AWS bill, expected monthly spend, current cloud provider, workload type, and region are enough for a first review.
Use case review
Send your workload and AWS spend. We will match it to the right savings path.
Get a practical view of billing savings, optimization opportunities, startup or migration support, and payment options for your specific scenario.
24h
Use case fit review
Share your business type, AWS bill, or migration plan. We map the fastest path to lower cloud spend.
SaaS and AI
E-commerce and gaming
Agencies and migration
Get my use case estimate