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GeoAI Feasibility Checklist

Use this 20-point check before funding a discovery sprint or implementation. You do not need every box checked; the gaps show what discovery must resolve.

Quick read: 15–20 checks suggests delivery readiness. 9–14 suggests a focused discovery sprint. Fewer than 9 means the business decision, ownership, or data foundation needs attention first.

01 — Decision & value

Start with the operational decision, not the model.

  • We can name the decision or workflow this system must improve.
  • We know who makes that decision today and how often.
  • We have a measurable baseline such as time, cost, accuracy, coverage, or risk.
  • A named business owner will accept or reject the outcome.

02 — Spatial signal

GeoAI is justified only when location adds explanatory power.

  • Location, proximity, movement, terrain, networks, or spatial context affects the outcome.
  • The required geographic resolution and area of interest are understood.
  • The data can be linked through coordinates, addresses, parcels, routes, or spatial IDs.
  • We can explain why a non-spatial model or ordinary BI report is insufficient.

03 — Data readiness

A representative sample is enough for discovery; production needs reliable access.

  • We can provide representative source files, API samples, or database extracts.
  • We know the owner, refresh rate, history, licensing, and geographic coverage of each source.
  • We have labels or a credible way to create ground truth if supervised learning is required.
  • Known gaps, quality problems, and sensitive fields have been documented.

04 — Delivery path

A useful model needs somewhere to run and someone to use it.

  • We know whether the output belongs in an API, dashboard, GIS, alert, report, or field workflow.
  • A technical stakeholder can support access, integration, and deployment decisions.
  • Target users can join discovery and acceptance testing.
  • There is a budget owner and a plausible procurement window.

05 — Security & operations

Surface constraints before architecture is committed.

  • Data residency, privacy, retention, and access-control requirements are known.
  • We know whether deployment must occur in a client-controlled cloud or network.
  • Vendor onboarding, NDA, MSA, DPA, and security-review requirements are identified.
  • Expected support hours, incident severity, recovery needs, and system owner are defined.

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