How Automation Will Improve Compliance and Regulatory Reporting
iBridge Automation and AI

How Automation Will Improve Compliance and Regulatory Reporting

With the current climate of strict business regulations, compliance and regulatory reporting services are essential to maintaining compliance with relevant legal requirements. While they are all necessary tasks, many take hours to complete (like inputting booking information) or require enormous amounts of data to be collected and processed. In the coming years, automation will emerge as one of the possible options to quicken these processes and increase precision and independence from human factors. This post discusses how automation could work and how compliance and regulatory reporting can be improved. It explains the tools used in these technologies among the added benefits and challenges related, with some real-world use cases for them, too!

Compliance and Regulatory Reporting It serves as a double-edged sword for financial institutions

Compliance and regulatory reporting are critical because they position businesses in compliance with laws and regulations set by authorities so that they do not violate the law or become subject to legal penalties for reputational damage. Second, they help ensure transparency and accountability to secure the trust of their stakeholders. Lastly, compliance mitigates fraud and data breaches' operational and financial risks.

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Traditional Compliance & Regulatory Reporting Challenges

Compliance & regulatory reporting in the traditional sense is rife with problems. These include:

Manual data entry: Relying on manual steps, such as copy-paste from a supplier portal to internal applications, can automatically cause errors and inconsistencies.

Data Silos: The data is typically fragmented and resides in various systems making it harder to aggregate, put together, and analyze.

Complex Regulations: Requires a significant effort and expertise to stay updated on constantly changing laws.

Resource Draining: Complying with requirements involves hours of time and human resources, which can distract you from the habits that create revenue.

Audit Trails: Keeping compliant audit trails is easier said than done in an era of pervasive regulation, but it is necessarily time for inspection.

Automation streamlines compliance and regulatory reporting.

Automation is using technology to assist with a process that would have demanded human focus otherwise. Automation -- Users can make compliance and regulatory reporting efficient and automate the bulk of these processes. Here’s how:

More Data Collection and Integration: Automated systems collect data from multiple sources, reducing the odds of errors while providing businesses with a single source of truth.

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Real-Time Monitoring: As automation can monitor compliance activities in real time, you will quickly catch any errors.

Regulation Updates: Automated software stays up to date with the changes in regulations and provides compliance without any manual commands.

Reports: Automated reporting tools can generate quality and detailed reports in a fraction of the time traditional manual processes take to assemble them.

Automation in Audit Trails: Automation means a very explicit and precise audit trail, which helps during inspections and is easier to show to anyone.

Automation in Compliance and Regulatory Reporting Technologies.

Various new advanced technologies enable automation of compliance and regulatory reporting, including:

AI and Machine Learning (ML): AI & ML algorithms can be tailored to solve intricate business problems, analyze humungous data, and obtain valuable hidden insights about patterns, forecast trends, and abnormal activity detection. Techs that are especially handy when you work in fraud detection and risk management.

Robotic Process Automation (RPA): RPA uses software robots to perform routine tasks like data entry, validation, and reporting. It works 24/7 to ensure compliance is always intact.

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NLP (Natural Language Processing): With NLP's help, systems can understand and process human language, making it easier for them to mine valuable information from regulatory documents, which will eventually lead us a step closer to compliance.

Blockchain is a secure and transparent digital ledger where transactions can be tracked and audited, especially in industries with high data integrity and transparency requirements.

Cloud Computing: Cloud-based solutions are scalable, flexible, and available, making it easier to comply with auditable processes and securely keep extensive data.

Why Automate Compliance and Regulatory Reporting [Total Cost of Ownership & Benefits]

There are several advantages of automation in compliance and regulatory reporting adoption.

Increased Accuracy: Automation sends data to integrations automatically, reducing human error and making it easier for you to collect the exact logs/information that is necessary.

Efficiency and Speed: Automating compliance systems allows for even faster completion times than human hands can do in some scenarios, saving time and adding efficiency.

Automation saves Costs: Automation reduces the need for human labor, which also saves a lot of costs.

Better Risk Management: Automation offers businesses real-time insights and analytics, enabling proactive risk management by minimizing risks.

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Enhanced Auditability: Automated systems generate thorough and precise audit trails, which makes auditing a simple process.

Problems in Implementing Automation

While the gains could be huge, automating compliance and regulatory reporting is not free of hurdles:

Cost: The initial cost of automating a business can be an entry barrier for any small business.

Adaptation Problems: Integrating new automation tools into current systems can be tricky and time-consuming.

Data Quality: Automation works with low-quality data. If the data quality is low, you can achieve the worst possible results, even in compliance mode.

Regulatory Changes: Because regulations are constantly changing, the company must update its automated systems periodically before these changes are in effect, usually on a fixed deadline.

Skill Sets: Installing and maintaining automated systems require specialized skill sets that, if not already present in the workforce, would need to be hired for or trained.

Case Studies

Case study #1: Financial Services

A global financial institution uses RPA to automate compliance reporting. The company's RPA bots fetch data from different sources, validate it, and then generate a report based on their validation rules based on new generation regulations. Implementation translated to a 60% decrease in reporting time, almost half the error rate, and considerable cost savings. The company also rapidly established compliance with new regulations, thanks to the real-time monitoring capabilities of its RPA system.

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Case Study 2: Healthcare

A healthcare facility uses AI and ML for advanced data protection regulation compliance. As nearly all their patient data is digital, the provider leveraged AI algorithms to observe access and identify any abnormal behavior that might point toward data theft. The ML models were created to help the compliance team draw a bead on potential areas of noncompliance and then give them sightlines into those risks in real-time. This preemptive measure was instrumental in raising the compliance bar and ensuring patient information security while gaining trust.

Case Study 3: Manufacturing

A manufacturing company used blockchain to enable transparency and adherence to industry standards in its supply chain management. Using blockchain, a reliable record was kept for every transaction so that materials and products could be tracked and verified more effectively. By adopting this implementation, the company was able to comply with some environmental and safety laws while protecting against counterfeits and securing an ethical sourcing reputation.

Just How Automation Should be Executed at Best

Recommended Best Practices for Using Automation to Address Compliance and Regulatory Reporting

Analyze Requirements and Objectives: Concisely segregate the non-compliance requirements to simplify the level of automation required.

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Best Technology Options: Choose automation tools that work best and fit the needs of your business requirements.

Improve Data Quality: Implement data quality management so automated systems can access consistent and clean data sources.

Engage Stakeholders: Include compliance officers, IT professionals, and other business leaders to gain buy-in and work together.

Pilot Programs: Begin with pilot programs to evaluate automation tools before a full-fledged deployment.

Educational and Support: Provide instruction or help personnel use computerized techniques at their highest functionalities.

Ongoing Monitoring and Review: Track how automated processes are doing to the extent that they adhere to updates in regulation or business changes.

Compliance and Regulatory Reporting Automation Going Forward

Further technological innovation and the increased adoption of automation are where compliance & regulatory reporting will be heading. Following are a few trends to watch:

Advancements in AI/ML: Continued advancements in using artificial intelligence and machine learning to provide increasingly complex analysis and predictive compliance functionalities.

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Integration with other technologies: Automation, when integrated with the Internet of Things (IoT) and advanced analytics, will offer enhanced visibility, leading to a holistic compliance solution.

RegTech: making compliance more specialized and efficient in 2020 In the sphere of Regulatory Technology.

The collaboration will drive more streamlined, standardized compliance processes between regulatory bodies and businesses.

Cybersecurity Adherence: As threats evolve, automation will be deployed predominantly to bolster cybersecurity and, more importantly, meet data protection mandates.

The compliance and regulatory reporting landscape is quickly changing with automation, bringing accuracy and cost-efficiency benefits. When companies use cutting-edge technologies like AI (artificial intelligence), ML (machine learning), RPA, NLP, blockchain, and cloud computing to automate their compliance processes, they can ensure that the minimum possible risk is associated with these standards set by regulators. Significant effort is required in proper planning, engaging stakeholders, and explicit intentions for continuous improvement to make it successful. Automation will continue to play an essential role in your battle against compliance and regulatory fines as technology progresses.

iBridge Automation and AI

Hello, I'm Desh Urs, the Founder and CEO of iBridge.?Our company is reshaping the future by merging cutting-edge technology with human ingenuity, allowing businesses to thrive in the digital age. With a friendly approach, we empower our clients to make informed decisions and drive sustainable growth through the power of data. ?Over the past twenty years, our global team has built a proven track record of turning complex information into actionable results. Let's discuss how iBridge can help your business reach its goals and boost its bottom line.

iBridge Automation and AI

We are a trusted digital transformation company dedicated to helping our clients unlock the power of their data and ensuring technology does not impede their success. Our expertise lies in providing simple, cost-effective solutions to solve complex problems to improve operational control and drive profitability. With over two decades of experience, we have a proven track record of helping our customers outclass their competition and react swiftly to the changes in their market.

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