Why use A.I. in auditing and quality processes ?

Today artificial intelligence, is used in all business sectors.

Audit and quality control experts can also use simple tools such as Chat GPT, or go further in terms of automation with generative artificial intelligence.

The main aim is to save time and monitor quality procedures more effectively.

In increasingly complex systems, A.I. can easily be the right tool to support the Auditor or Quality Manager on a daily basis.

We give you a few examples in this article.

The progress of A.I. tools in auditing.

AI tools for auditing refer to the application of artificial intelligence technologies, such as machine learning algorithms and data analysis.

It is important to start from the essential foundation of data quality. This is governed by the necessary data governance, led by a Chief Data Officer.

Good quality data must meet the expectations and needs of those who use it. It is expressed in the form of a combination of consequences.

Consequences in terms of risks, costs and benefits.

Once this governance has been established, A.I. tools can help in the audit process because of their ability to analyse large volumes of data quickly and accurately.

This also minimises the risk of human error.

The introduction of A.I. tools has significantly transformed the audit industry by revolutionising traditional audit methods and providing auditors with advanced tools to detect anomalies, trends (sentiment) and potential risks with financial data.

The benefits of A.I. in auditing.

AI tools offer many advantages for audit processes.

In addition, AI tools help to improve the accuracy of risk assessment and anomaly detection.

They also reduce the likelihood of oversights and errors. In addition, they improve the ability to process large volumes of data and identify patterns that might go unnoticed during a manual examination.

The completeness and granularity of the results are also strong indicators.

Are there any SaaS software packages with a sophisticated data model ?  

This software can help plan audits by identifying high-risk areas. It can suggest appropriate audit procedures and thus optimise schedules.

Planning audits is a complex task requiring in-depth analysis and precise identification of high-risk areas.

With this in mind, a number of software-as-a-service (SaaS) packages exploiting artificial intelligence can greatly facilitate this process.

These tools offer a wide range of functionalities. They optimise the audit process, from detecting risks to suggesting appropriate procedures. They streamline work schedules.

We wrote an article on KONATUS solution

An A.I. for MPC directors.

Software and systems.

Automation solutions such as Blue Sprim or UiPath are very comprehensive in their use of software robots.

In fact, all the work that can be automated is entrusted to software robots. From the back office to the front office. As a result, everyone has a suite of ready-to-use automated systems at their disposal
to help them in their day-to-day work.

In the background, hundreds of applications and databases are now spread throughout organisations.

Anyone, with little or no coding, can develop automations and
automated applications.
AI is infiltrating every facet of work. AI-enabled robots are automating increasingly sophisticated business scenarios.

AI-based compliance management systems play a crucial role in identifying potential gaps in regulatory compliance.

By targeting their areas and needs, auditors can focus on the specific aspects requiring attention.

Intelligent recommendation systems use machine learning algorithms.

These can suggest audit procedures tailored to the specific characteristics of each company, its sector of activity and potential risks.

It is also possible to build and deploy Machine Learning (ML) and Deep Learning (DL) models with a data expert.

The design and development of A.I-enabled Chatbots. Knowledge of Natural Language Processing (NLP) & Computer Vision (CV) expertise is also useful for working on models.

RPA or Python skills are also useful for ready-Made automation.

Finally, a good dataviz developed and deployed for intuitive tables (Power BI, Tableau, Qlik).

Training, confidentiality, security and ethics of Artificial Intelligence AI. 

Companies need to invest in adequate training to equip their teams with the necessary skills to make effective use of these advanced technologies.

In addition, security and confidentiality issues must not be overlooked, as AI-powered audit processes deal with sensitive data.

Implementing robust security measures and complying with data protection regulations are essential to preserve the integrity and confidentiality of the audit process.

Data quality is important. Data governance must be put in place.

 At GOWeeZ, we helped numerous companies to optimise their processes using AI.

POC, MVP, acculturation, digital transformation, data, change management, right through to fund-raising.

Would you like support with a strategic innovation or fund-raising project?

feel free to contact us.