First, give conclusions that can be used for decision-making
Adjudication of whether financial processes are suitable for AI is based on both frequency, standardization, data availability, error consequences and manual cover. A large number of double-checking and clearly classified tasks are more appropriate; only a few times a month, rules rely heavily on professional judgement or irreversibly results, and are not suitable for direct automatic execution. A process can be broken down into material identification, field verification, business matching, risk tips, manual confirmation and system writing back, deciding whether to use the OCR, rules, AI or manual respectively.
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.
The list of duplicate tasks and anomalies of the finance team.
Validation Key Dependence
Recording of volume, time, error and business consequences.
Development of assessable outcomes
Select a review process to prepare a real sample.
Make sure you decide the next step with the real results.
The formal integration scope is determined after certification with the PoC.
How do you understand it in the actual business?
The example does not represent the performance of a particular client, and the actual conclusions need to be verified in conjunction with the enterprise’s own business volume, sample, system and liability boundaries.
The easiest pit to step on.
Start with high-risk actions such as automatic payments or automatic bookkeeping
Only the number of documents, without analysis of abnormal proportions and responsibility for processing
It's considered that buying OCR is a complete financial automation.
How should we end up receiving and confirming?
The diagnostic phase should provide a candidate process rating, manual baseline, sample quality, risk classification, system conditions and initial boundary, and identify which links to maintain manual confirmation.
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.