Ship Faster. Break Less. Scale On Purpose.
USM Business Systems plans, migrates, and operates enterprise infrastructure on AWS, pairing a disciplined cloud transformation strategy with AI built into every stage, not bolted on at the end.
120+
ENTERPRISE CLOUD
MIGRATIONS DELIVERED
38%
AVERAGE INFRASTRUCTURE
COST REDUCTION
6-10
WEEKS FROM ASSESSMENT
TO MIGRATION PLAN
24/7
OPERATIONS COVERAGE
Cloud transformation is the redesign of how a business runs its technology, not just relocating servers, but deciding whatmoves as-is, what gets rebuilt, what gets retired, and how operations and cost change once the migration is done.
Our cloud consulting services are
built for how you actually run.
Not a generic migration checklist. Every engagement starts with your architecture, your workloads, and your risk tolerance, then builds a transformation plan around them.
1.
Cloud Transformation Strategy
A workload-by-workload assessment of what should move, what should be re-platformed, and what should stay put, backed by a total-cost-of-ownership model your finance team will actually sign off on.
2.
Cloud Transformation Solutions
Reference architectures and landing zones designed for your compliance, security, and scaling requirements before a single workload moves.
3.
AWS Migration Partner
Lift-and-shift, re-platform, or full refactor, executed by an AWS-certified team that owns the cutover, not just the plan.
4.
AI Cloud Transformation
Cloud environments provisioned for AI from day one, with GPU capacity, vector storage, and MLOps pipelines designed alongside your core migration, not retrofitted after.
5.
AI Cloud Consulting Services
For teams that already run on AWS but want AI capability without re-architecting from scratch, we assess your existing environment and design the shortest safe path to production AI workloads, including cost governance so experimentation doesn’t become a runaway bill.
Our Approach: A transformation plan with a clear sequence
Five stages, always in this order, so nothing gets built before it’s been assessed, and nothing gets scaled before it’s been proven.
01. Assess
Inventory workloads, dependencies, and constraints across your current environment.
02. Design
Build the target architecture, landing zone, and cloud transformation strategy.
03. Migrate
Execute the move in risk-ranked waves, with rollback plans at every stage.
04. Operate
Stabilize, monitor, and hand off with clear cost and performance baselines.
05. Scale with AI
Layer in AI workloads once the foundation is proven and governed.
Cloud transformation, tuned for AI from the ground up.
Most cloud migrations are designed for the workloads of five years ago. We design for the ones you’re building next, so your AI initiatives don’t stall waiting on infrastructure that wasn’t built for them.
Right-sized AI compute
GPU and accelerated compute provisioned to match real workload demand, with autoscaling that prevents idle spend.
Data platforms AI can actually use
Lakehouse and vector storage architectures that make your enterprise data usable by models securely and at scale.
Governed by default
Cost guardrails and access controls built into the environment, not added after the first surprise invoice.
Built for environments where risk matters
![](https://usmsystems.com/wp-content/uploads/2026/09/Online_Test.png")
Healthcare
HIPAA-aware migrations for systems that can't afford downtime during patient care hours.
Financial Services
Migrations sequenced around audit cycles, with data residency and encryption requirements built into the landing zone.
Retail & Consumer
Autoscaling architectures built for demand spikes that would break a fixed-capacity environment.
Manufacturing & Logistics
Hybrid architectures that keep plant-floor systems connected to cloud analytics without a full rip-and-replace.
Public Sector
Compliance-first landing zones designed around procurement and accreditation requirements from day one.
One AI Quality Strategy
Multiple Testing Dimensions.
| Path | Typical Timeline | Code changes | Best for |
|---|---|---|---|
| Rehost | Fastest. Weeks, not months |
Minimal to none |
Workloads under time pressure (data center exit, contract end) |
| Replatform | Moderate. Targeted changes |
Selective. Swap managed services in |
Workloads that need cost or performance gains without a rebuild |
| Refactor | Longest. Full rebuild |
Substantial |
Core systems where scalability and AI-readiness justify the investment |
What our cloud assessment finds
before the migration even starts
A sample of recent engagements. Client names are withheld under NDA; the numbers aren’t.
$40K/mo
in idle compute found during assessment
Identified before the migration plan was even finalized. The savings funded most of the migration itself.
USM found $40K a month in idle compute before we’d even finished the assessment phase.
3.2x
peak-load capacity, same monthly spend
A re-platform to autoscaling compute ahead of a holiday season eliminated the manual capacity-planning fire drill that had run every year prior.
9 weeks
from assessment to first production wave
A phased rehost-then-re-platform plan lets core banking workloads move ahead of an on-prem contract deadline without a full refactor timeline.
The Cloud Migration
Readiness Checklist
The same 40-point checklist we run during the assessment phase, workload dependencies, data residency, cost modeling, and rollback planning before we scope a single migration wave.
Credentials that hold up under audit,
not just on a slide
AWS
Reliable migration partner
Certified architects across compute, data, and security specializations.
SOC 2
Security-first delivery model
Every migration plan is built against your compliance obligations.
24/7
Post-migration operations
We stay accountable for the environment after cutover, not just the handoff.
OUR CLIENT FEEDBACK
USM found $40K a month in idle compute before we’d even finished the assessment phase.That funded most of the migration itself.