The traditional vs the modern is a conflict as old as the world. It has an obvious implication for the public sector’s inspection-driven enforcement activity. This conflict is formulated in the regulatory environment like digital inspection solutions vs old traditional inspection methods.
The regulatory bodies that use traditional inspection methods face an expensive and clumsy process. The nature of inspections is always, to some degree, risky for the success of the whole operation. This risk can increase the cost of the inspection process. For example, there could be a mistake in allocating cases, allowing wrongfully skilled inspectors to be sent on-site or another error that could impact the inspection cost.
We’ve already looked through various success stories of regulators that transformed their inspections with different levels of inspection automation. They are winners on the side of the modern and successful regulatory tech adopters. Inspection automation technologies are doing their magic on different levels simultaneously. We already talked about how data automation is a basic level of operation for the inspection software. In this article, we will look through automated AI inspection optimisation as another feature that is a game-changer for inspection driven regulatory enforcement.
Related: How real-time data can improve the inspection performance?
Case study: Reduce operational costs with inspection scheduling software
Read it to understand:
- The advantages of modular digital transformation
- The vital architectural practices and technologies that enable modular transformation
- How a regulatory agency in the UK is benefitting from a modular approach with Canalix.
So, how is AI changing the game?
AI optimises the resource utilisation in inspections
Artificial Intelligence can design the most optimal ways for inspections. It can learn from the existing data and eliminate mistakes like sending wrongfully skilled inspectors on-site or planning routes nonoptimal ways. According to the user data of Canalix, AI optimisation can bring up to 40% better resource utilisation.
AI enables more efficient data flow
When the amount of data is managed intelligently, the business operations improve. Even if there are potential issues, they can be evaded before affecting the outcome. The bottom line is that AI can shrink the costs of inspection.
AI eases the decision-making process
The reduction of process time is like the elephant in the room when we talk about digital transformation. So it is with the AI-driven inspection platforms. The system’s intelligence can take into account different factors simultaneously and eliminate unnecessary work. This improves efficiency, and decisions are made faster at the end of the day. The benefit goes to one individual who is directly involved in the inspection process and the whole inspection ecosystem.
A good business optimisation tool will give regulators the digital infrastructure to do their job better. An excellent inspection platform will bring data automation and AI optimisation. Combine it with a great UX, and a regulator will have a disruptive technology in their hands.
Do you want to try how Canalix can optimise regulatory inspections? Contact us now.
Bonus definition of AI by Salesforce:
Artificial Intelligence is the concept of having machines “think like humans” — in other words, performing tasks like reasoning, planning, learning, and understanding language.
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