Is Your Architecture Built for the AI Era?
A scored audit of whether your architectural patterns hold up when AI workloads, agents, and AI-assisted dev are first-class citizens — not just bolted on.
- A scored profile across 6 dimensions — see exactly where you're strong and where the gaps are.
- Your biggest opportunities, mapped to specific next moves.
- A personalized video walkthrough from Shawn (optional) — a real read on your results.
Most architectures weren't designed with AI workloads in mind. They were designed for human users, batch reports, and a handful of partner integrations — patterns that worked beautifully until agents started calling APIs as if they were the user, retrieving data as if it were a knowledge base, and chaining tools into multi-step plans the original designers never anticipated.
This free assessment scores an architecture across six dimensions that decide whether it can host AI workloads as first-class citizens — or whether AI will keep landing as a fragile bolt-on. It takes about six minutes and is built from 27 years of technology leadership across Fortune 500 and growth-stage companies.
What the AI-era architecture audit measures
AI-era fit is a profile, not a single number. The audit scores six dimensions independently so you can see exactly where the architecture is ready and where it's exposed: AI-Native Composition Patterns (does the system compose through events, tools, and contracts AI can use), Observability for AI Workloads (are prompts, traces, and evaluations first-class signals), Contract-Driven Design (are API contracts explicit and stable enough for agents to depend on), Data Architecture for AI Consumption (is data shaped for retrieval, not just OLTP), Agent-Orchestration Readiness (can the architecture host multi-step plans), and Security Model for AI Workloads (does identity propagation and least privilege hold up under agent access). The final question maps the pressure points AI workloads will hit first.
Why AI-era architecture matters before the next wave of AI features
Most architectures don't fail to host AI — they fail to host AI well. A model behind a tightly coupled monolith works for the first demo and breaks under any real load. Agents calling brittle APIs surface bugs the original integration tests never imagined. Data shaped only for OLTP can be retrieved, but it can't be reasoned about. The cheapest time to address these gaps is before AI traffic becomes a meaningful share of the load. The most expensive time is once an agent is in production and the patterns it depends on are buckling.
What you get at the end
You'll see an overall AI-era architecture score, a band describing where the architecture stands (Pre-AI-Era, Early AI Fit, AI-Ready, or AI-Native), a per-dimension breakdown, and a pressure-point map of where AI workloads will hit first. From there you can request a personalized video walkthrough — a short, recorded read on your specific results and what a fractional CTO engagement would prioritize for this architecture. No generic sales deck.
Frequently asked questions
What does it mean for an architecture to be built for the AI era?
An AI-era architecture is one where AI workloads — agents, retrieval-augmented systems, AI-assisted dev tooling — are first-class citizens, not bolt-ons. That means composition through events and tool-callable APIs, observability that captures prompts and tool calls, contracts that agents can rely on, data shaped for retrieval, orchestration ready to host multi-step plans, and a security model where identity propagates cleanly through every hop.
How long does the assessment take?
About six minutes. It's 18 scored questions across six dimensions plus a pressure-point map. Your progress auto-saves, so you can leave and resume without losing answers.
Is the assessment free?
Yes. The assessment and your scored results are completely free. You can optionally request a personalized video walkthrough of your results, which is also free.
Who is this assessment for?
It's built for CTOs, VPs of Engineering, principal engineers, and technical founders who are evaluating whether their existing architecture can host AI workloads cleanly — or whether the patterns underneath need to evolve before another wave of AI features lands.
What happens after I get my score?
You'll see a full AI-era architecture profile with per-dimension scores and your highest-pressure points. If you'd like, you can share a few details and receive a personalized video walkthrough explaining your results and what a fractional CTO would prioritize for evolving this architecture toward AI-native patterns.