» FREE AI Architecture Scorecard: Discover the first autonomous system your business should build.

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AI Architecture Scorecard

Answer a few questions about your data, workflows, tools, and bottlenecks. You will get a score, a readiness band, and your first-system recommendation.

0% answered with certainty

First name

Company

Website

Role

Business type

Monthly revenue

Team size

Biggest operational bottleneck

Primary goal for AI

Current tools

Current AI usage

12 pts

Strategy clarity

Whether AI goals are tied to business outcomes and leadership priorities.

We have named the business outcomes AI should improve first.Examples: faster lead follow-up, lower admin time, better conversion, cleaner handoffs.AI opportunities are prioritized against a practical roadmap, not random tool experiments.This checks whether AI decisions are sequenced by business value and feasibility.One person or team clearly owns AI direction and decisions.Ownership matters because disconnected AI experiments create risk and low ROI.

16 pts

Data readiness

Whether business state is usable, structured, and trusted enough for automation.

Core business state has a clear source of truth.Examples: leads, customers, deals, projects, tasks, assets, orders, or appointments.The data people rely on is accurate enough to drive decisions without constant cleanup.AI output gets worse when source records are stale, duplicated, or incomplete.The right tools and people can access the data needed to run the business.This includes dashboards, CRM views, sheets, databases, and operational tools.

16 pts

Workflow maturity

Whether repeatable work is clear enough to automate safely.

Our most important customer or revenue workflow is documented step by step.AI cannot reliably automate work that humans cannot explain consistently.Handoffs between people/tools are visible and do not depend on memory.Hidden handoffs are where leads, tasks, and follow-ups usually leak.We measure at least one workflow outcome that AI could improve.Examples: response time, close rate, completion time, error rate, booked calls.

14 pts

Integration readiness

Whether tools and APIs can connect into one operating layer.

Our core tools can connect through APIs, webhooks, native integrations, or automation platforms.Examples: CRM, calendar, email, payment processor, forms, ads, analytics.We can match the same lead/customer across the tools we use.A shared email, ID, account, or CRM record makes automation much safer.Some handoffs already run through automation instead of manual copy/paste.Zapier, Make, n8n, Activepieces, native workflows, or custom scripts all count.

14 pts

AI use-case fit

Whether AI can act from context with safe human review.

We have repetitive judgment or communication work that follows patterns.Examples: lead qualification, email drafts, summaries, routing, proposal prep.The context AI would need is available in systems, documents, or structured notes.AI needs reliable context before it can produce useful operational output.A human can review AI-assisted work before it affects customers or revenue.This is the safety layer before any autonomous workflow is trusted.

14 pts

Security/governance

Whether AI can be adopted without exposing data, trust, or operations.

We know which business/customer data is sensitive and should not be sent to random AI tools.This includes client records, financial data, health/legal info, passwords, tokens, and private communications.Access to important systems is controlled by role, not shared logins.Shared accounts make auditing and safe automation much harder.New AI tools or automations get reviewed before they touch customer or revenue workflows.Lightweight approval is enough at MVP stage; the key is that review exists.

14 pts

Revenue architecture

Whether funnel, CRM, and revenue signals are measurable enough to improve.

We can see where leads come from and what happens after they convert.This checks if traffic, forms, calls, CRM, and revenue connect into one story.Follow-up after inquiry, booking, or proposal is tracked and consistent.Inconsistent follow-up is one of the easiest revenue leaks to fix.Our website and sales process clearly explain the offer, next step, and expected outcome.Public offer clarity is a strong signal for whether automation can improve conversion.