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4 Frequently Asked Questions On Using AI in Inspections

Inspection Management
ai in inspections canalix

It’s halfway through 2020 and so many things happened so far. With the rapid changes in the work culture all around the world, Lewis Carol’s famous quote from Alice, “we must run as fast as we can, just to stay in place” rings specially true. From the insights the many enterprises and governments around the world are giving, these new changes are here to stay. Or said otherwise: the new work models are here to stay. The sooner companies and organization come up with optimized solution for their new work routines, the better outcomes they may expect in case of a second wave of covid-19 outbreak.

Related: SaaS Inspection Platforms – The Solution for Regulators and Enterprises After Covid-19

The benefits of AI in compliance management are nothing new for big enterprises. In the past few months of dynamic changes enterprises started appreciating even more the value of AI in compliance management. But for conservative organizations like government agencies, the level of adoption of technologies like AI in the inspection model is not the same. With the growth of interest towards inspection software solutions, grows the number of questions that decision makers on digital transformation in government agencies are asking.  So here are 4 frequently asked questions that we prepared for them.

1. Why use AI in inspection management and not stick to the old manual way of inspections?

The old ways are the gold ways. But not always. When unprecedented changes happen outside the organization, the old ways may turn into annoying limitations. So is the case with the manual inspections. They require a human judgement for every step of the inspection process. It is great to have the resource to designate a human to make judgement on complex cases. But in a future where the work from home model is the new normal, the manual way is no longer an optimal way for inspections. That’s why it’s great to have technologies like AI that can turn even complex processes into faster and better version of themselves.

Related: The Complexity of Inspection Management Made Simple

2. How expensive it is to use AI in inspection management?

The use of AI in inspections is supposed to lower the costs of government agencies. There are two big reasons for that. The manual inspections require the time and efforts of multiple specialists with different level of competence. While AI can take over complex processes like the allocation of cases to the right inspectors and reduce the operational time from days to hours. And this is not the best of it. Thanks to a sophisticated complexity scoring mechanism, Canalix’ inspection management system is looking for the most optimal scenarios where resources like transportation expenses can be utilized more efficiently. So the only thing that AI in the inspection model can do to your company’s expenses is to lower them.

Related: How Can AI Transform Inspections?

3. Is it really a good idea to trust a machine with the inspection process?

Thanks to the popular culture, the collective conscious is constantly associating the archetype of robots that take over control over the humans with AI. However, when we talk about AI in inspections, we don’t talk about movie robots. We talk about smart technologies, build by other humans that are designed to make the work process smarter. Since inspection management is a complex matter, sometimes the human judgement is necessary. That’s why the AI of Canalix is build to be smart enough to send cases that are above certain complexity to humans.

4. How to get started with using AI in inspections and compliance management?

If you’re looking for inspection software that offers AI optimization, contact us now. We will tell you more about our product. You can even get to test it. Learn more about the importance of testing a demo of inspection software.

July 3, 2020
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  1. CIOs: How to approach cost-efficient cloud adoption for e-government? says:
    July 31, 2020 at 4:17 pm

    […] within the operations of the National Labour Inspectorate. But if the software has leveraged on AI technologies to analyze and identify, for example, the most optimal routes for inspection, then in the long run […]

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