AI & machine learning implementation
Deploy AI capabilities with defined access boundaries, measurable quality criteria and cost visibility.
Implementation scope
Generative AI, agents, RAG, custom machine learning, MLOps, document processing, speech, vision and predictive analytics across all four cloud providers.
AI infrastructure and application services are selected for the customer environment across AWS, Google Cloud, Microsoft Azure and Oracle Cloud. We assess data residency, model availability, private connectivity and integration requirements before implementation.
Delivery approach
We assess the current environment, agree the target design and define deliverables, dependencies and acceptance criteria. Implementation includes testing, documentation and knowledge transfer.
Engagements can be delivered directly to customers or as subcontract and white-label work for system integrators. Responsibilities, customer communication and support arrangements are agreed before delivery.
Explore your cloud implementation scope
Compare infrastructure, cybersecurity and AI capabilities across AWS, Google Cloud, Microsoft Azure and Oracle Cloud. Our catalog covers cloud foundations, migration, networking, databases, recovery, identity, workload protection, security operations, generative AI, enterprise agents and machine learning.
View the four-cloud service catalog →Deliverables, by line item.
- AI workload architecture and model integration
- Retrieval pipeline and data-access controls
- Application guardrails and evaluation workflow
- Deployment automation, monitoring and handover
A structured delivery process.
- 01Discovery call
Review your environment, priorities, dependencies and target timeline with the delivery team.
- 02Agreed scope and milestones
Agree deliverables, milestones, responsibilities and commercial terms through your procurement process.
- 03Build in your tenant
Implement in the agreed repositories and cloud environments, with progress reviews and validation against the scope.
- 04Handoff, documented
Runbook, architecture decisions, and a working session with your team. You own everything we built.
Before the discovery call.
- Which cloud providers do you support?
- Kemet Tech provides infrastructure and cybersecurity implementation across AWS, Google Cloud, Microsoft Azure and Oracle Cloud. The service catalog identifies native services, licensed products and third-party integrations.
- How are the scope and timeline agreed?
- Discovery establishes the environment, priorities, dependencies and delivery requirements. The proposal defines milestones, responsibilities, commercial terms and acceptance criteria.
- Can you work through our system integration company?
- Yes. We support subcontract delivery, white-label implementation and referral arrangements. Branding, customer communication, access and handover responsibilities are agreed for each project.
- What happens after implementation?
- Handover includes the agreed configuration, documentation, validation evidence and knowledge transfer. Ongoing support, monitoring coverage and response commitments are scoped separately.