We provide a four-week assessment of your Machine Learning readiness and maturity utilising our proven methodology which is aligned to the AWS Well Architected Framework Machine Learning Lens. We then issue tailored recommendations based on your unique circumstances. We also provide further strategic advice to support your Machine Learning strategy, technology selection, roadmap, operating model, change assessment and governance.

The assessment is supported by our evaluation methodolgy which examines six pillars of operating machine learning workloads in production giving you actionable insight into your level of maturity across 30 criterias:

• Ways of Working: Are your teams following best practice and able to achieve their objectives?
• Data & Features: Is your data sufficient, useful and accessible?
• Model: Are your models robust, maintainable and performant?
• ML Pipelines & Platform: What level of automation can your models rely on?
• Monitoring & Operations: What solutions do you have in place to keep track of models’ accuracy over time?
• Security & Governance: What processes and tools do you have in place to manage access to data and secure your platform?