Architecture and Workload Review
Examine relevant AWS accounts and workloads against agreed architectural and operational criteria, producing prioritised findings and a proportionate improvement plan.
Review, improve and operate AWS environments with clearer decisions across architecture, access, resilience, cost visibility and the responsibilities required after implementation.
AWS provides flexible infrastructure, data, networking and application services, but flexibility introduces choices that must be owned over time. Architecture, permissions, resilience, monitoring and cost can all drift away from the original plan as workloads change. Pollysys helps organisations understand their current AWS environment and decide what deserves attention. The work may involve a focused review, remediation plan, migration, architecture improvement or agreed operational support. Recommendations consider the workload, existing capability, business importance and acceptable risk rather than assuming every account needs the same design. The aim is an environment that is easier to explain, govern and operate within the responsibilities agreed.

WHY POLLYSYS?
Begin with workload needs and evidence, then prioritise changes by operational value, risk, effort and cost.

COST VISIBILITY
AWS costs reflect architecture, demand, pricing choices, data movement and operating behaviour. Pollysys can help explain material drivers, identify areas for investigation and assess changes without promising savings before the environment and commitments are understood.
ARCHITECTURE AND ACCESS
AWS security depends on architecture, identity, configuration, monitoring and operational practice. Pollysys can help assess relevant controls and ownership, recognising that available evidence and protection depend on the services, regions, logging and responsibilities in scope.

OUR APPROACH
AWS decisions should reflect the workload, business priorities and operational capability behind them—not simply the number of cloud services available. Pollysys reviews the existing environment across architecture, security, reliability, performance, cost and sustainability before recommending practical improvements. Each recommendation is explained in context, including its dependencies, trade-offs and ownership requirements. AI workloads are considered alongside access, data and monitoring controls, while ongoing operational responsibilities are clearly defined. This creates an AWS approach that is easier to understand, manage and improve over time.
Reviews use relevant AWS guidance and agreed business context to examine architecture, operations, security, reliability, performance, cost and sustainability. A formal AWS Well-Architected Review should be claimed only if Pollysys meets the applicable AWS requirements.
POTENTIAL BENEFITS
Tags, reports and agreed ownership can help teams understand material spend, investigate changes and make more informed decisions about usage and commercial commitments.
Architecture reviews can identify dependencies, failure scenarios and recovery considerations, giving decision-makers a clearer basis for prioritising proportionate improvements.
Defined roles, permissions and administrative responsibilities can make access easier to review, while logging and escalation support investigation where appropriately configured.
Documentation, monitoring and change responsibilities can reduce uncertainty for internal teams, developers and support providers as workloads and organisational needs evolve.
WHAT’S INCLUDED
Choose the AWS assistance your workloads require, from a focused assessment to migration planning, improvement work or clearly scoped ongoing operations.
Examine relevant AWS accounts and workloads against agreed architectural and operational criteria, producing prioritised findings and a proportionate improvement plan.
Review material spend drivers, resource use, tags and pricing options to identify changes for assessment without promising savings before evidence is available.
Review IAM roles, permissions, administrative access and relevant protective controls, with specialist Cybersecurity support introduced where the requirement extends beyond AWS configuration.
Provide agreed monitoring, maintenance, support and review activities with explicit coverage, escalation, ownership and exclusions for the workloads included.
Plan workload moves or architectural changes around dependencies, testing, cutover, recovery considerations and the internal capability required after implementation.
Prepare appropriate architecture, access and cost controls for approved AWS AI workloads, connected to a clearly defined use case and human responsibility.
HOW WE WORK
Two views of one structured AWS engagement.
Begin by agreeing the workloads, accounts, business importance and decisions within scope. Pollysys reviews available architecture, access, cost, resilience and operating information, then records findings in language relevant to both technical and business owners. Priorities are agreed by considering risk, operational value, effort and dependencies. Approved changes are planned with testing, communication and recovery considerations appropriate to their impact. The engagement may finish with a documented improvement plan, continue through implementation or move into clearly scoped ongoing operations. Each step should create a decision point rather than assuming a fixed journey.

WHO WE SUPPORT
The right engagement depends on your workloads, internal capability, current architecture and the responsibilities your organisation wants to retain.
Understand significant cost drivers, ownership and pricing choices before changing resources or entering longer commercial commitments.
Review architecture that evolved under delivery pressure and prioritise improvements across access, resilience, performance, cost and supportability.
Define who is responsible for architecture, access, monitoring, maintenance, incidents and cost when AWS sits between internal teams and suppliers.
Gather relevant evidence, responsibilities and improvement priorities when customers, insurers or auditors ask questions about AWS controls. Avoid promising compliance.
Assess dependencies, architecture, data movement, testing, cutover and operating responsibilities before moving approved workloads into AWS.
Connect approved Bedrock, SageMaker or other AWS AI work with appropriate architecture, access, information controls, budgets and accountable oversight.
CONNECTED TECHNOLOGY SERVICES
AWS may be one part of a broader cloud, managed technology, cybersecurity or AI requirement. Pollysys can address these areas separately while keeping scope and ownership clear. Automation or AI services should follow a suitable use case, appropriate controls and an agreed operating model.

Pollysys can review AWS architecture using relevant Well-Architected principles and provide prioritised findings. Whether this should be described as a formal AWS Well-Architected Review depends on current competency, programme and partner requirements.
Pollysys can review significant spend drivers, resource usage, tags, storage and pricing choices to identify options for consideration. Savings cannot be promised before the accounts, workloads, commitments and business requirements are understood. Some changes may reduce flexibility or introduce operational risk, so cost should be considered alongside the workload’s purpose.
Pollysys can discuss IAM design, roles, permissions, administrative access, logging and relevant AWS controls within an agreed scope. Cloud configuration is only part of security. Wider assessment, incident response, compliance interpretation or organisational security work may require a separately scoped Cybersecurity service.
Ongoing AWS operations may include agreed monitoring, maintenance, backup checks, change support and service reviews. The precise workloads, tools, hours, response targets, escalation routes and exclusions must be documented before the service begins. Do not assume that on-call or round-the-clock support is included.
Pollysys can discuss AWS foundations for approved AI workloads, potentially including Bedrock or SageMaker, subject to verified capability and scope. The work should address architecture, access, information, usage and cost controls. AI Consultancy can help determine whether the use case itself is worthwhile and ready.
START WITH CLARITY
Discuss your workloads, current concerns and cloud responsibilities. Pollysys can help define whether you need a focused review, planned remediation, migration support or an ongoing operating arrangement.