Deterministic core
The readiness score is calculated with tested scoring logic so the result can be explained, audited, and improved without relying on model behavior.
Live diagnostic
Find out whether your workflow is ready for AI automation.
The scorecard helps founders, COOs, CTOs, and operators rank workflow fit, data readiness, guardrail needs, integration complexity, and ROI potential before investing in an AI build.
What it does
A production-minded intake tool, not a generic quiz.
The app collects workflow context, produces an explainable 0-100 readiness score, and recommends the next automation pattern or discovery step.
Captures role, company size, industry, workflow type, manual effort, volume, cost burden, data availability, systems, approval needs, risk sensitivity, maturity, timeline, and optional contact details.
Scores six dimensions: workflow pain, automation potential, data readiness, integration readiness, risk and guardrail needs, and ROI potential.
Recommends patterns such as RAG assistant, intake classifier, document extraction workflow, agentic task assistant, or reporting automation.
Score model0-100
Workflow pain Automation potential Data readiness Integration readiness Guardrail needs ROI potential
System design
Explainable scoring with AI recommendations as a constrained layer.
LLM assist
When configured, OpenAI generates an executive summary and tailored recommendations from the submitted inputs and calculated scores.
Fallback path
If the model layer is unavailable, the app still returns deterministic recommendations so the user experience does not break.
Guardrails
The output pushes teams toward practical automation, not reckless autonomy.
01
Human-in-the-loop controls
02
Risks and mitigations
03
Rollout steps
04
Success metrics
What you getDecision support
- Readiness score
- A clear signal on whether the workflow is a strong AI candidate, needs preparation, or should wait.
- Best next step
- A practical recommendation for audit, prototype, production build, or workflow/data cleanup.
- Decision clarity
- A structured way to compare workflow pain, data access, risk, guardrails, and ROI before spending budget.
Business value
A better first AI project starts with workflow selection.
The scorecard helps teams compare candidate workflows before committing budget to the wrong build. Strong candidates show pain, clear ownership, usable data, practical guardrails, and measurable value.