At Catio, we are dedicated to creating a Copilot for Tech Stack Architecture - one that advises companies on a 24x7 basis as to the most accurate and highest quality recommendations for your architecture.

Each one of our recommendations is constructed leveraging 3 essential capabilities today - in the future, this will grow significantly as the quality of our expertise and AI progresses.

Today, we leverage:

i) a comprehensive understanding of your architecture to know what you’ve invested in to date

ii) a complete view of your business, product, and organizational requirements to understand what you are trying to build to to achieve your business goals, and

iii) a multi-agency system of AI agents, which reflect a complete structure of a leading technical organization’s brain trust (inclusive of a CTO, staff architects across each domain, product managers with knowledge of requirements, as well as DevOps leaders with knowledge of your deployed system), which are able to cooperate with each other to very precisely identify and determine key architectural advancements which most effectively fulfill your requirements while taking into account the architecture investments you have made to date.

The desired structure of our recommendations will typically follow a 3-4 part core structure, with some additions, including:

i) Target state - a target / reference architecture generated glove-fit for you requirements and in light of your architecture investments to date. It will identify the target, as well as describe the key benefits from having your organization moving to achieve it.

ii) Gap analysis - an assessment of what you have implemented in this area to date. You will also receive a detailed evaluation of the gaps between this implementation and your requirements, and the pitfalls related to these gaps.

iii) Recommended action - ultimately this will identify the specific action and timing that is believed to best suit your priorities, as well as describe the reasons for this assessment. It will also, like it’s doing today, provide a set of recommended actions which allow you to achieve your target state most effectively.

(HINT: Press cmd(Mac)/ctrl(PC) + option(Mac)/alt(PC) + T to expand or close all toggles in a toggle list.)

💡 Sample Output of Recommendations

A Sample Recommendation for Catio

A Sample Recommendation for Sensei Sensors, a synthetic B2B IoT and data streaming company

A Sample Set of Recommendations for Select Design Partners

A Sample Set of Cost Focused Recommendations

A Sample of Disaster Recovery Focused Recommendations

🔮 The Future of Recommendations

We’re improving our recommendations in multiple exciting ways. We expect our recommendations to improve in quality and specificity as we:

• Improve the recommendation template to include expanded action plan, more “explainability”, and external references
• Pull in and consider more information about component-to-component relationships
• Pull in and consider more information about component configurations