Free AI architecture guide
AI Approach Selector
Identify the right starting architecture for your business problem before comparing vendors or individual models.
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Professional-use notice: For users 18+. Results are estimates and planning aids, not legal, medical, financial, employment, safety, or other professional advice. Verify assumptions and use human review. See our AI Transparency Notice.
Decision inputs
The recommendation uses fixed, visible rules—not a paid model call.
Choose an architecture before a vendor
Answer six structured questions to identify the most appropriate starting pattern and the risks that could change it.
How the methodology works
- 1Start with the business task: workflow, knowledge, prediction, content, documents, or vision.
- 2Use data sensitivity, knowledge freshness, response speed, integration count, and explainability to expose constraints.
- 3Select an architecture pattern rather than a short-lived model name or vendor recommendation.
- 4Validate the pattern with representative data, operational fallbacks, and measurable acceptance criteria.
Why architecture comes first
A company knowledge assistant usually needs retrieval, permissions, citations, and evaluation—not merely a larger chat model. A document-routing workflow needs schema validation and an exception queue. The right pattern narrows the vendor decision and makes costs easier to control.
Frequently asked questions
Test whether the opportunity has a credible business case
Estimate current effort, recoverable capacity, first-year net value, ROI, and payback with your own assumptions.