AI + Architecture
building modern
AI architectures

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We believe that AI architectures should be:

  • Ethical
  • Sustainable
  • Pragmatic
  • Effective
  • Adoptable

Productivity

When used effectively, AI can improve output without displacing jobs.

Innovation

AI can give businesses a competitive advantage, as long as it stays ethical and legal.

More Than Chatbots

Ensembles, regressions, and agentic workflows will become the norm.

Our Mission...

We believe in repeatable and scaleable architectures represent the highest quality and best ROI for our practice. This extends to all branches of architecture, but especially to AI. Our mission is to bring forth AI architectures which can be implemented by organizations of all sizes, adaptable to their specific needs, and help them maintain a competitive as well as legally and ethically step ahead of the competition.

Our Vision

Repeatability

AI should not be treated as a “build it and forget it” solution. Architectures in AI are a holistic fusion between what an organization does well, and how probabilistic technical solutions can benefit their end users and customers. We have accomplished our vision if organizations of all sizes and various industries are able to adapt the same frameworks to their particular needs successfully.

Scalability

Organizations should be able to build off of small, iterative successes in AI architectures with more projects that fit an unfilled niche. Only if these architectures are seen as a sustainable and intrinsic advantage to the Enterprise Architecture will their true potential be realized.

Our Events

AI Architecture
May 9

AI Architecture

Welcome to the AI ARCHITECTURE COURSE! The AI Delivery and Strategy course equips executives, managers,…
Cost: $2000

We are building the worlds largest community of AI Architecture Contributors to create the most repeatable results in AI Value.

Training and Certification

Become an AI architect and join the global AI architecture leaders. The course is based completely on the learning in AI Architectures.

Lectures

Check Out the Course
12, in person or virtual lectures, followed by a lab to reinforce topics of discussion.

Areas of Focus:

  • AI Foundation – aligning to business objectives
  • Regulatory – US and EU focused
  • ESG – AI’s carbon footprint
  • Tooling – for EAs, devs, etc
  • And more…

Labs

Each lab is designed to reinforce what was taught in the lecture through a Miro presentation. These labs can be done as a group in person or individually in a virtual setting, and presented back to the group.

Examples:

  • AI Center of Excellence
  • Monthly transfer limit: 50GB
  • Access level: User
  • Dedicated resources: No

Final Exam

Solidify your knowledge of AI delivery and strategy through a self paced final exam, covering aspects of all 12 lectures and labs in the course.

Criteria:

  • Self directed, with transparent evaluation measures
  • Practical and applicable to all industries
  • Forward-thinking
  • Useful for technical and non-technical participants

Our CAF Working Group

AI Architecture Framework

There is unfortunately no one size fits all approach to implementing AI within a small, medium, or large organization. That said, we as architects take a broad ranging view of what works, what doesn’t work, and how to transliterate what does work into a repeatable system and pattern. To that end, we are focused on developing an AI Architecture Framework that can scale with the needs, size, and complexity of the organizations for which architects that implement the framework at their unique organizations.

Our CAF (Chief Architect Forum) AI Working Group meets monthly to discuss considerations and implications of what AI implementation truly means as a Chief Architect. This then feeds into the monthly AI Focus Group discussions that are open to individuals of all skill levels and interests to validate, vet, and verify against real world examples and use cases.

Rather than being a collection of talking heads that stop short of actual real world advice, our AI Working and Focus groups exist only to provide tangible takeaways that guide board, EA, and AppDev discussions around the world.

Our Public Working Groups

Community Voices

We firmly believe that successful architecture are not built in ivory towers but as a community driven initiative. With AI architecture touching so many different disciplines, including sustainability, cloud native, legal/ethical, etc. it is simply not feasible for a single type of individual to have all of the knowledge and skills necessary to develop successful AI architectures.

To that end we have a public AI Architecture working group to discuss issues and solutions, share experiences as well as setbacks, and provide insights to the rest of the community as to what works and what doesn’t.

Who Should Participate?

Chief Architects

Help guide your organization’s EA and business units to effective, ethical, and forward thinking AI initiatives.

CTOs/CIOs

As a leading executive in tech, it’s our responsibility to look into the future to determine what our company needs to put in place today to be successful tomorrow.

VP of Engineering, Architects, Etc

Practitioners of AI solutions have an important voice that needs to be in the mix to ground which ideas can be fully and effectively implemented.