Mission AI Foundation

Mission Control measures this by benchmarking your environment using a proprietary algorithm and AWS tools like Trusted Advisor, Security Hub, and Compute Optimizer. To assess alignment before signing up for AI Foundation, try Mission Cloud Score free from the AWS Marketplace. Mission Cloud Score is powered by Mission Control and benchmarks your environment against well-architected pillars.

We can't jump on calls immediately, but your Cloud Analyst team is available at your preferred cadence. We suggest quarterly to monthly meetings, depending on your AWS environment's growth and change frequency. More frequent than bi-weekly meetings require special approval.

The 4 monthly AI engineering hours are included with AI Foundation and can be used flexibly for consulting, prompt engineering, troubleshooting, or guidance on AI initiatives. Hours refresh monthly and can be requested through Mission Control or your Technical Account Manager. Additional hours beyond the included 4 can be purchased through Engineer Assist - AI.

AI Foundation includes everything in Cloud Foundation plus 4 hours per month of dedicated access to AI Engineers and Solution Architects specializing in AI/ML and generative AI solutions on AWS. AI Foundation is ideal for organizations building or scaling AI workloads, while Cloud Foundation focuses on general AWS optimization and best practices.

Three major differences: customer-to-engineer ratio, environmental visibility, and cost. We maintain roughly a 1:10 engineer-to-customer ratio, giving our team more opportunity to familiarize with your environment. All our teams have equal visibility into your environment, including your Mission Control instance, so we contextualize requests quickly. We offer Enterprise support with SLAs matching AWS's, but are often significantly less expensive than AWS Enterprise support.

The Instant Discount Program incorporates your billing into our payer account. Our aggregate purchasing on behalf of customers lets us effectively buy from AWS in bulk at a discount and redistribute that pricing advantage to customers. Getting your discount is as simple as signing up.

Two key indicators are overall cost growth and application performance. If you're running into scaling limitations with either, you likely have opportunities to improve efficiency and re-architect with best practices. Issues like spiraling or spiking costs and application instability stem from infrastructural decisions, and we can show you where waste, bottlenecks, or other opportunities exist for a healthier, more performant environment.

Our AI Engineers have expertise across AWS AI services including Amazon Bedrock, SageMaker, Amazon Q, and other AWS AI tools. They help with foundation model selection, RAG architectures, vector database implementations, prompt engineering, fine-tuning strategies, and integration patterns. Whether working with generative AI or classical ML, our team guides architectural decisions and best practices.