AI cloud strategy
Architecture and delivery plans for AI workloads on AWS, Azure, and GCP — including integration, scale, and cost control.
- · Cloud architecture
- · AI integration
- · Scale planning
- · Cost control
We plan and implement AI, cloud, DevOps, and operations work for teams that need production systems — not a slide deck.
Architecture and delivery plans for AI workloads on AWS, Azure, and GCP — including integration, scale, and cost control.
CI/CD, infrastructure as code, monitoring, and automation so teams can ship reliably.
Security reviews, compliance frameworks, risk assessment, and data protection for cloud systems.
Keep data, backups, logs, and keys in Canada on AWS, Azure, or GCP, with each control documented. It starts with a fixed-scope residency review, and implementation is optional.
Ongoing monitoring, performance tuning, backups, and recovery so production stays stable.
AI-assisted workflows on your existing stack — with guardrails, logging, and runbooks your team can operate.
Grok-based assistants scoped to one job, verified on real transcripts before launch.
Find and fix AWS, Azure, and GCP spend waste — consulting first; AiFinOps by AiCloudConsult when visibility is enough.
Tell us about the system you run and the outcome you need.