AWS AI SERVICES
AWS AI consulting from use-case assessment to implementation.
Assess practical AI use cases, prepare data and integrations, and validate quality before moving toward production.
AWS Advanced Tier Services Partner
AI Services Competency
HOW WE HELP
AWS AI Services services.
Use-case discovery
Identify the business workflow, users, and success criteria.
Data readiness
Review source data, access permissions, and quality requirements.
Solution design
Select an approach and AWS services suited to the use case.
Prototype evaluation
Test representative scenarios and assess response quality.
Responsible controls
Define human review, access boundaries, and failure handling.
Production planning
Plan monitoring, cost controls, support, and ongoing evaluation.
START WITH YOUR REQUIREMENTS
Where this service can fit.
Knowledge assistance
Identify the business workflow, users, and success criteria.
Document workflows
Select an approach and AWS services suited to the use case.
Application intelligence
Define human review, access boundaries, and failure handling.
DELIVERY APPROACH
Clear scope. Practical delivery. Ongoing improvement.
Understand and plan
Review your workload, dependencies, business goals, and existing controls. Agree on scope, responsibilities, and success criteria before implementation.
Build and validate
Configure the agreed solution and test it against representative scenarios. Coordinate changes and approvals with your team.
Hand over and improve
Document the configuration and operating responsibilities. Review findings and prioritise improvements within the agreed support scope.
OUR TEAM
Cloud expertise backed by practical experience.
Anjana Cloud9 brings architecture, engineering, and operational experience together to support your AWS environment.
We focus on understanding your workload and explaining the choices, responsibilities, and trade-offs that matter to your business.
Specialist capability within a wider cloud team
Our AI Services Competency recognition supports our focus in this area.
Explore our AWS achievements →COMMON QUESTIONS
Before we begin.
How do you decide whether an AI prototype is ready for production?
We agree on representative evaluation scenarios and success criteria, then review quality, permissions, failure handling, human oversight and operational ownership. Production work is scoped after those findings are assessed.
What do you need to prepare a proposal?
Share the business workflow, intended users, available data, access restrictions, quality expectations and human-review requirements. Access requirements are agreed during scoping.
Can ongoing support be included?
Support can be defined as part of the engagement, with clear monitoring, maintenance, escalation, and ownership responsibilities.
How are costs and timelines determined?
They depend on the workload, implementation scope, AWS usage, and support requirements. We agree on an approach after reviewing your environment.
EXPLORE OUR AWS SERVICES
Find the next part of your cloud plan.
Let’s discuss your AWS AI Services requirements.
Tell us about your environment and priorities. We’ll help you identify a practical starting point.
LET’S TALK
Tell us what your business needs.
Discuss AWS services, Microsoft 365 licensing and migrations, Azure infrastructure, security, or managed support.
Choose your requirement and share a little about your environment so our team can respond to your enquiry.
Prefer email? info@acloud9.com
Your information will be used to respond to your enquiry. Privacy Policy