Bigdoor Ai Labs

AI Deployment Readiness Diagnostic

Is this opportunity ready to become a system?

Twelve questions across four deployment conditions: workflow, data, integration and adoption.

Question 1 of 121 = not true yet · 5 = fully true
01 / 12 · WorkflowThe AI opportunity is tied to a specific business outcome, not a general desire to “use AI”.
02 / 12 · WorkflowA business owner is accountable for the workflow and the result.
03 / 12 · WorkflowThe current workflow is documented well enough to map inputs, decisions, exceptions and handoffs.
04 / 12 · DataThe required data is accessible and its ownership is known.
05 / 12 · DataWe understand the important quality, freshness and completeness limitations in that data.
06 / 12 · DataPermissions, sensitive-data rules and security constraints are understood.
07 / 12 · IntegrationWe know which systems the deployment must read from, write to or trigger.
08 / 12 · IntegrationThe path from an AI output to a real business action is defined.
09 / 12 · IntegrationWe can define what good output means before the build begins.
10 / 12 · AdoptionThe people who will use or supervise the system are identified and can participate in rollout.
11 / 12 · AdoptionWe know when the system should stop, ask for help or escalate to a human.
12 / 12 · AdoptionWe can compare post-deployment performance with a meaningful baseline.

Directional, not diagnostic theatre. The purpose is to expose blockers before money is spent on a build.