App Corp
Full-service software engineering
Engineering your experience…
App Corp
Full-service software engineering
Engineering your experience…
Evaluate Your Organization
Not every organization is ready for AI agents. This assessment evaluates your team, data, infrastructure, and use case clarity to give you a realistic readiness score and actionable recommendations.
An AI Agent Readiness Assessment evaluates six dimensions — team capability, data availability, infrastructure, use case clarity, budget readiness, and integration complexity — to produce a score out of 100 and a grade from A to F. Organizations scoring above 70 are generally ready to proceed with a scoped MVP.
Configure your requirements below to get a personalized estimate.
Rate your team AI experience and budget status.
Evaluate data quality, infrastructure, and integration needs.
Define how clear your AI agent use case is.
Teams without AI experience need 2–3x more time for learning and iteration.
Poor data requires 4–12 weeks of cleaning before AI can consume it reliably.
Basic infrastructure requires cloud migration before AI deployment.
Vague use cases lead to scope creep and failed pilots.
A 5-person team with good data and a clear customer support use case
Dev Cost
$30K–$60K for MVP
Timeline
6–10 weeks
Monthly
$500–$2,000
A 200-person company with scattered data and vague AI goals
Dev Cost
$15K–$30K for discovery + MVP
Timeline
12–20 weeks
Monthly
$1,000–$5,000
Readiness is not a one-time assessment. Re-evaluate quarterly as your team, data, and requirements evolve.
| Cost Item | Range | Notes |
|---|---|---|
| Team training | $2K–$10K/quarter | Courses, workshops, hands-on projects |
| Data pipeline maintenance | $500–$3K/month | Cleaning, validation, monitoring |
| Infrastructure scaling | $200–$2K/month | Cloud costs grow with usage |
Get a free 15-minute readiness review from an App Corp engineer. We'll tell you honestly where you stand.