Approval Process Three Day Delay
The slowness of approval is often not the lack of effort on the part of the approving officer, but the incompleteness of the material, the lack of clarity of rules, the excessive hierarchy and the invisibility of the waiting list.
This video is used for enterprise-infomatic knowledge learning and internal discussions.
Let's see what we can do.
The slowness of approval is often not the lack of effort on the part of the approving officer, but the incompleteness of the material, the lack of clarity of rules, the excessive hierarchy and the invisibility of the waiting list.
The video content of this issue is read
The following are structured textual interpretations of the video for the current period, which allow for quick reading, internal discussion and search; it is not verbatim subtitled. Around “Why a single approval waits for three days”, it is recommended that a distinction be made between surface phenomena, business causes and system improvements before deciding whether process adjustments, data governance, system integration, automation or customization development are required.
1. Waiting points that really consume time
The approval process is often not a lack of effort on the part of the approving officer, but rather incomplete, poorly structured, over-tiered and unobserved. The mere placement of paper sheets on the line does not automatically shorten the cycle.
2. Which approvals can be consolidated or automatically judged
The approval process is often not a lack of effort on the part of the approving officer, but rather incomplete, poorly structured, over-tiered and unobserved. The mere placement of paper sheets on the line does not automatically shorten the cycle.
3. How to continuously optimize process data
The approval process is often not a lack of effort on the part of the approving officer, but rather incomplete, poorly structured, over-tiered and unobserved. The mere placement of paper sheets on the line does not automatically shorten the cycle.
What should we do with this scene?
Identify the processes and responsibilities behind approval, scheduling, cross-sectoral waiting, project extension and system usage. Around “why should one approval wait three days”, real input, expected output, tool privileges, manual approval, unusual handling and operational acceptance indicators should be defined before deciding whether to use rules, scripts, API, Codex or other AIAgents.
The verification of conditions, liability, data sources and exceptions is done using real samples, and the presentation is not used as a substitute for production evidence.
The verification of conditions, liability, data sources and exceptions is done using real samples, and the presentation is not used as a substitute for production evidence.
The verification of conditions, liability, data sources and exceptions is done using real samples, and the presentation is not used as a substitute for production evidence.
Suggested paths for improvement
- 1Draw current process with a real task
Selecting recent and representative tasks and anomalies, identifying participants, input outputs, time and current costs.
- 2Delete duplicate transmissions and specify responsibilities and time frames
Distinction between actions that are self-executing, that require manual confirmation and that prohibit automatic processing.
- 3Documenting rules, alerts and upgrading mechanisms in the system
Start with the draft, a copy or a limited scene, and keep the abnormal transferer and retreat.
- 4Continuous re-entry waiting times, return to work and anomalies
Continuous observation of accuracy, adoption, processing cycle, error and real business results.
How to automate the receipt and inspection is really effective.
The acceptance cannot be based solely on whether a single demonstration runs. The following results should be observed continuously using independent samples and real anomalies, and pre-modification baselines of the same calibre should be maintained:
- Whether the end-to-end cycle declines
- Whether overdue missions are detected in advance
- Whether cross-sectoral responsibilities can be tracked
- Can abnormality be closed and not repeated?
The authorization, approval, audit and manual takeover must also be verified when it comes to the amount, customer commitment, privacy, compliance, production change or deletion operations.
Continue to learn about the programmes
OA and BPM process systems
Building approval, mandate, time frame, alerts and cross-sectoral synergies
See detailsRelated resourcesAI workflow and automation
Combine rules, AI judgement, system actions and manual approvals into closed loops
See detailsRelated resourcesProject acceptance list
Using the process, data and engineering evidence acceptance system
See details