First, give conclusions that can be used for decision-making
The objective of AI MVP is to validate the most critical commercial and technical assumptions, not to produce a downsized complete product. An enterprise should indicate before development who will use them, how many tasks will be handled on a weekly basis, current manual baselines, minimum quality, unacceptable errors, target time savings and permitted costs.
What conditions need to be identified before judgement is made?
The same question may have different answers under different business, data and project phases. It is suggested that the following conditions be checked and that the common findings on the web be incorporated into their own projects.
Suggested order of advance
First, we'll be clear about the target and the border.
Record current labour quality, time, cost and abnormal baseline.
Validation Key Dependence
Freezing representative assessment and continuation, adjustment, cessation threshold.
Development of assessable outcomes
The user is expected to perform the real task and record the results of the whole chain.
Make sure you decide the next step with the real results.
Production, scaling down, rerouting or stopping are determined on the basis of evidence.
How do you understand it in the actual business?
An AI document MVP is generated very quickly, but professionals are required to rewrite half of the content on average, and the rate of serious factual error exceeds the agreed threshold. Instead of adding more pages, the knowledge, rules and mission boundaries should be improved.
The easiest pit to step on.
Only a few successful samples were selected for display, and no test set was frozen
Model response satisfaction as the only indicator
Production inputs that have been omitted from the PC through security, interfaces, monitoring and transport
How should we end up receiving and confirming?
It is recommended that a report be developed that includes a task set version, definition of indicators, baseline, test results, error ranking, user feedback, performance costs and production gaps. Continued input must be clear evidence and the production phase needs to be independently assessed for authority, safety, stability and continuity of operations.
When preparing to communicate with suppliers or internal teams, it is recommended that current processes, representative samples, existing systems, planning time and budget levels be brought. First, the unknown items are clearly marked, and then the decision is made to use diagnostics, PoC, fixed-range projects or ongoing research and development, which is usually more reliable than a direct demand for a price and duration without borders.