Implementing combined audit assurance

ASSESS IMPACT & CREATE AN ASSURANCE MAP

The audit impact assessment and assurance map are interdependent—and the best possible starting point for your combined assurance journey. An impact assessment begins with a critical look at the current or “as is” state of your organization. As you review your current state, you build out your assurance map with your findings. You can’t really do one without the other. The map, then, will reveal any overlaps and gaps, and provide insight into the resources, time, and costs you might require during your implementation. Looking at an assurance map example will give you a better idea of what we’re talking about. The Institute of Chartered Accountants of England and Wales (ICAEW) has an excellent template.

Galv4

The ICAEW has also provided a guide to building a sound assurance map. The institute suggests you take the following steps:

  1. Identify your sponsor (the main user/senior staff member who will act as a champion).
  2. Determine your scope (identify elements that need assurance, like operational/ business processes, board-level risks, governance, and compliance).
  3. Assess the required amount of assurance for each element (understand what the required or desired amount of assurance is across aspects of the organization).
  4. Identify and list your assurance providers in each line of defense (e.g., audit committee or risk committee in the third line).
  5. Identify your assurance activities (compile and review relevant documentation, select and interview area leads, collate and assess assurance provider information).
  6. Reassess your scope (revisit and update your map scope, based on the information you have gathered/evaluated to date).
  7. Assess the quality of your assurance activities (look at breadth and depth of scope, assurance provider competence, how often activities are reviewed, and the strengths/quality of assurance delivered by each line of defense).
  8. Assess the aggregate actual amount of assurance for each element (the total amount of assurance needs to be assessed, collating all the assurance being provided by each line of defense).
  9. Identify the gaps and overlaps in assurance for each element (compare the actual amount of assurance with the desired amount to determine if there are gaps or overlaps).
  10. Determine your course of action (make recommendations for the actions to be taken/activities to be performed moving forward).

Just based on the steps above, you could understand how your desired state evolves by the time you reach step 10. Ideally, by this point, gaps and overlaps have been eliminated. But the steps we just reviewed don’t cover the frequency of each review and they don’t determine costs. So we’ve decided to add a few more steps to round it out:

  1. Assess the frequency of each assurance activity.
  2. Identify total cost for all the assurance activities in the current state.
  3. Identify the total cost for combined assurance (i.e., when gaps and overlaps have been addressed, and any consequent benefits or cost savings).

DEFINE THE RISKS OF IMPLEMENTATION

Implementing combined assurance is a project, and like any project, there’s a chance it can go sideways and fail, losing you both time and money. So, just like anything else in business, you need to take a risk-based approach. As part of this stage, you’ll want to clearly define the risks of implementing a combined assurance program, and add these risks, along with a mitigation plan and the expected benefits, to your tool kit. As long as the projected benefits of the project outweigh the residual risks and costs, the implementation program is worth pursuing. You’ll need to be able to demonstrate that a little further down the process.

DEFINE RESOURCES & DELIVERABLES

Whoever will own the project of implementing combined assurance will no doubt need dedicated resources in order to execute. So, who do we bring in? On first thought, the internal audit team looks best suited to drive the program forward. But, during the implementation phase, you’ll actually want a cross-functional team of people from internal control, risk, and IT, to work alongside internal audit. So, when you’re considering resourcing, think about each and every team this project touches. Now you know who’s going to do the work, you’ll want to define what they’re doing (key milestones) and when it will be delivered (time frame). And finally, define the actual benefits, as well as the tangible deliverables/outcomes of implementing combined assurance. (The table below provides some examples, but each organization will be unique.)

Galv1

RAISE AWARENESS & GET MANAGEMENT COMMITMENT

Congratulations! You’re now armed with a fancy color-coded impact assessment, and a full list of risks, resources, and deliverables. The next step is to clearly communicate and share the driving factors behind your combined assurance initiative. If you want them to support and champion your efforts, top management will need to be able to quickly take in and understand the rationale behind your desire for combined assurance. Critical output: You’ll want to create a presentation kit of sorts, including the assurance map, lists of risks, resources, and deliverables, a cost/benefit analysis, and any supporting research or frameworks (e.g., the King IV Report, FRC Corporate Governance Code, available industry analysis, and case studies). Chances are, you’ll be presenting this concept more than once, so if you can gather and organize everything in a single spot, that will save a lot of headaches down the track.

ASSIGN ACCOUNTABILITY

When we ask the question, “Who owns the implementation of combined assurance?”, we need to consider two main things:

  • Who would be most impacted if combined assurance were implemented?
  • Who would be senior enough to work across teams to actually get the job done?

It’s evident that a board/C-level executive should lead the project. This project will be spanning multiple departments and require buy-in from many people—so you need someone who can influence and convince. Therefore, we feel that the chief audit executive (CAE) and/or the chief revenue officer (CRO) should be accountable for implementing combined assurance. The CAE literally stands at the intersection of internal and external assurance. Where reliance is placed on the work of others, the CAE is still accountable and responsible for ensuring adequate support for conclusions and opinions reached by the internal audit activity. And the CRO is taking a more active interest in assurance maps as they become increasingly more risk-focused. The Institute of Internal Auditors (IIA), Standard 2050, also assigns accountability to the CAE, stating: “The chief audit executive should share information and coordinate activities with other internal and external assurance providers and consulting services to ensure proper coverage and minimize duplication of effort.” So, not only is the CAE at the intersection of assurance, they’re also directing traffic—exactly the combination we need to drive implementation.

Envisioning the solution

You’ve summarized the current/“as is” state in your assurance map. Now it’s time to move into a future state of mind and envision your desired state. What does your combined assurance solution look like? And, more critically, how will you create it? This stage involves more assessment work. Only now you’ll be digging into the maturity levels of your organization’s risk management and internal audit process, as well as the capabilities and maturity of your Three Lines of Defense. This is where you answer the questions, “What do I want?”, and “Is it even feasible?” Some make-or-break capability factors for implementing combined assurance include:

  1. Corporate risk culture Risk culture and risk appetite shape an organization’s decision-making, and that culture is reflected at every level. Organizations who are more risk-averse tend to be unwilling to make quick decisions without evidence and data. On the other hand, risk-tolerant organizations take more risks, make rapid decisions, and pivot quickly, often without performing due diligence. How will your risk culture shape your combined assurance program?
  2. Risk management awareness If employees don’t know—and don’t prioritize— how risk can and should be managed in your organization, your implementation program will fail. Assurance is very closely tied to risk, so it’s important to communicate constantly and make people aware that risk at every level must be adequately managed.
  3. Risk management processes We just stated that risk and assurance are tightly coupled, so it makes sense that the more mature your risk management processes are, the easier it will be to implement combined assurance. Mature risk management means you’ve got processes defined, documented, running, and refined. For the lucky few who have all of these things, you’re going to have a much easier time compared to those who don’t.
  4. Risk & controls taxonomy Without question, you will require a common risk and compliance language. We can’t have people making up names for tools, referring to processes in different ways, or worst of all, reporting on totally random KPIs. The result of combined assurance should be “one language, one voice, one view” of the risks and issues across the organization.
  5. System & process integrations An integrated system where there is one set of risks and one set of controls is key to delivering effective combined assurance. This includes: Risk registers across the organization, Controls across the organization Issues and audit findings, Reporting.
  6. Technology use Without dedicated software technology, it’s extremely difficult to provide a sustainable risk management system with sound processes, a single taxonomy, and integrated risks and controls. How technology is used in your organization will determine the sustainability of combined assurance. (If you already have a risk management and controls platform that has these integration capabilities, implementation will be easier.)
  7. Using assurance maps as monitoring tools Assurance maps aren’t just for envisioning end-states; they’re also critical monitoring tools that can feed data into your dashboard. They can inform your combined assurance dashboard, to help report on progress.
  8. Continuous improvement mechanisms A mature program will always have improvement mechanisms and feedback loops to incorporate user and stakeholder feedback. A lack of this feedback mechanism will impact the continued effectiveness of combined assurance.

We now assess the maturity of these factors (plus any others that you find relevant) and rank them on a scale of 1-4:

  • Level 1: Not achieved (0-15% of target).
  • Level 2: Partially achieved (15-50%).
  • Level 3: Largely achieved (50-85%).
  • Level 4: Achieved (85-100%).

This rating scale is based on the ISO/IEC 15504 that assigns a rating to the degree each objective (process capability) is achieved. An example of a combined assurance capability maturity assessment can be seen in Figure 2.

Galv2

GAP ANALYSIS

Once the desired levels for all of the factors are agreed on and endorsed by senior management, the next step is to undertake a gap analysis. The example in Figure 2 shows that the current overall maturity level is a 2 and the desired level is a 3 or 4 for each factor. The gap for each factor needs to be analyzed for the activities and resources required to bridge it. Then you can envision the solution and create a roadmap to bridge the gap(s).

SOLUTION VISION & ROADMAP

An example solution vision and roadmap could be:

  • We will use the same terminology and language for risk in all parts of the organization, and establish a single risk dictionary as a central repository.
  • All risks will be categorized according to severity and criticality and be mapped to assurance providers to ensure that no risk is assessed by more than one provider.
  • A rolling assurance plan will be prepared to ensure that risks are appropriately prioritized and reviewed at least once every two years.
  • An integrated, real-time report will be available on demand to show the status, frequency, and coverage of assurance activities.
  • The integrated report/assurance map will be shared with the board, audit committee, and risk committee regularly (e.g., quarterly or half-yearly).
  • To enable these capabilities, risk capture, storage, and reporting will be automated using an integrated software platform.

Figure 3 shows an example roadmap to achieve your desired maturity level.

Galv3

Click here to access Galvanize’s Risk Manangement White Paper

 

The evolution of GRC

Attitudes to governance, risk and compliance (GRC) activities are changing among Tier 1 financial institutions. The need to keep up with rapid regulatory change, and the pressure of larger, more publicised penalties dealt out by regulators in recent years have prompted an evolution in how risk is viewed and managed. Financial firms also face an increasingly volatile market environment that requires them to remain nimble – not just to survive, but to thrive.

As a result of these market developments, GRC is now seen, rather than as one strand of the business, as a far more integrated activity with many companies realigning resources around the ‘three lines of defence’ model. GRC is increasingly being treated as an enterprise-wide responsibility by organisations that are successfully navigating these challenging times for global financial markets. This shift in attitudes is also leading to a rethink in relation to the tools used by all three lines of defence to participate in GRC activities. Some are exploring more innovative solutions to support and engage infrequent users – particularly those in the first line of defence (1LoD). The more intuitive design of such tools enables these users to take a more active role in risk-aware decision-making.

These and other innovations promise to bring greater effectiveness and efficiency to an area into which firms have channelled increasing levels of resource in recent years but are struggling to keep up with demand. A recent survey carried out by Risk.net and IBM found that risk and compliance professionals acknowledge the limitations of existing operational risk and regulatory compliance tools and systems to satisfy current and future GRC requirements. The survey polled 106 senior risk, compliance, audit and legal executives at financial firms including banks (53%), insurance companies (21%) and asset management firms (12%). The results revealed that nearly one third of these respondents remain unimpressed with the effectiveness of their organisation’s ability to cope with the complexity and pace of regulatory change. Nearly half gave a similar response regarding their organisation’s efficiency in this area.

With these issues in mind, many of the firms surveyed have started to explore user-experience needs more deeply and combine the results with artificial intelligence (AI) capabilities to further develop GRC systems and processes. These capabilities are designed to enhance compliance systems and processes and make them more intuitive for all. As such, user-experience research and design has become a key consideration for organisations wanting to ensure employees across all three lines of defence can participate more fully in GRC activities. In addition, AI-powered tools can help 1LoD business users better manage risk and ensure compliance by increasing the efficiency and effectiveness of these GRC systems and processes. The survey shows that, while some organisations are already developing these types of solutions, there is still room for greater understanding of the benefits of new and innovative forms of technology throughout the global financial markets. For instance, nearly half of respondents to the survey, when asked about the benefits of AI for GRC activities, were unsure of the potential time efficiencies such tools can bring. More than one-quarter were undecided on whether AI would free up employees’ time to focus on more strategic tasks.

Many organisations are still considering how to move forward in this area, but it will be those that truly embrace user-focused tools and leverage innovative technologies such as AI and advanced analytics to increase efficiencies that can expect to reap the rewards of successfully managing regulatory change and tackling market volatility.

LoD

Current and Future Applications

The survey highlights that financial firms already recognise that these solutions can be used to more efficiently manage the regulatory change process. For example, AI-based solutions can provide smart alerts to highlight the most relevant regulatory changes – 35% of survey respondents see AI as offering the biggest potential improvements in this area.

Improving the speed and accuracy of classification and reporting of information – for example, in relation to loss events – was another area identified for its high AI potential. Nearly one-third of respondents (31%) see possibilities for improvement of current GRC processes in this area. Some financial firms have already started to reap the rewards of this type of approach. Larger firms are typically ahead of the game with such developments, often having more resources to put into research and development. Out of the 13% of larger firms that have seen a decrease in GRC resources over the past year, one-third of survey respondents attribute that to “tools and automation improvements”.

Similarly, 44% of those polled work at organisations already making improvements to improve end-to-end time and user experience in relation to GRC processes and tools. A further 19% plan to do this in the next 12 months and, in line with this, 64% of survey respondents expect their firm’s GRC resources to increase over the next 24 months (see figure 8). While it is not clear from the survey whether these additional resources will be specifically directed towards AI, more than 80% of respondents work at organisations currently considering AI for a range of GRC activities.

The most popular use of AI among financial firms is to improve the speed and/or accuracy of classification and reporting information, such as loss events – 19% of respondents say their organisation is currently using AI for this purpose, with 81% currently considering this type of use. Such events happen fairly infrequently, so training employees to classify and enter such information can be time consuming, but incorrect classification can have a real impact on data quality. By using natural language processing (NLP) tools to understand and categorise loss events automatically, organisations can streamline the time and resources required to train employees to collect and manage this information.

According to the survey, 83% of respondents are also currently considering the use of AI tools to develop smart alerts that will highlight any new rules or updates to existing regulations, helping financial firms manage regulatory change more efficiently. Many organisations already receive an overwhelming amount of alerts every day relating to new rules or changes, but some or all of these changes may not actually apply to their businesses. AI can be used to tailor these alerts to ensure compliance teams only receive the most relevant alerts. Using NLP to create this mechanism can be the difference between sorting through 100 alerts in one day and receiving one smart alert that has been identified by an AI-powered solution.

Control mapping is another area to which AI can add value. When putting controls in place relating to specific obligations within a regulation, for example, compliance teams can either create a new control or, using NLP, detect whether there is already an applicable control in place that can be mapped to record the organisation’s compliance with the rule. This reduces the amount of time spent by the team reading and understanding new legislation or rule changes to determine applicability, as well as improving accuracy and reducing duplicate controls.

Click here to access IBM’s White Paper

The future of compliance – How cognitive computing is transforming the banking industry

Paradigm shift in financial services regulatory compliance

The compliance landscape has changed rapidly and dramatically over the past 15 years, with the volume and complexity of new regulations rising unabated. Financial institutions have strained to keep pace with the onslaught of legislative and regulatory changes that arose in response to improper business practices and criminal activity. These changes caused the erosion of public confidence in global credit and financial markets and in the security of our banking system.

After the financial crisis of 2008, there was a sharp increase in enforcement actions brought by federal and state regulators in a broad range of cases involving financial and securities fraud, economic sanctions violations, money laundering, bribery, corruption, market manipulation, and tax evasion, leading to violations of the Bank Secrecy Act and OFAC sanctions1 According to Forbes, Inc., aggregate fines paid by the largest global banks from 2008 through August 2014 exceeded USD 250 billion. A February 2016 report issued by Bloomberg revealed that the toll on foreign banks since the 2008 crisis has been colossal with 100,000 jobs lost, USD 63 billion in fines and penalties, and a staggering USD 420 billion dollar loss in market capitalization.

In the wake of these enforcement actions and record-breaking penalties, financial institutions are under pressure to

  • rethink,
  • restructure,
  • and retool

their risk and compliance function to operate in the current environment. With regulators, investors and boards demanding increased global transparency, risk and compliance can no longer be tackled in geographical silos. Transforming the way compliance departments operate to meet the new reality requires an investment in talent and technology.

Spending on talent continues to rise as institutions hire more and more staff to shore up already sizeable compliance teams. At the end of 2014, Citigroup reported a compliance staff of 30,000. Some boards, analysts, and investors question the exploding costs of compliance yet recognize that any effort to reduce staff without demonstrable and measureable improvements in compliance processes and technology would almost certainly be viewed negatively by regulators. Headcount alone cannot solve today’s compliance challenges. One possible solution lies in transformative technology that enables a shift in the focus of compliance staff from that of information gatherers to information analyzers. In other words, it is time for a paradigm shift in the financial services industry and the way regulatory compliance departments operate.

Cognitive computing for compliance

Cognitive systems are trained by humans and learn as they ingest and interpret new information. Rather than being explicitly programmed, they learn and reason from their interactions with us and from their experiences with their environment. IBM® Watson® technology represents a new era in computing called cognitive computing, where systems understand the world in a way more similar to humans: through

  • senses,
  • learning
  • and experience.

Watson

  • uses natural language processing to analyze structured and unstructured data,
  • uses natural language processing to understand grammar and context,
  • understands complex questions
  • and proposes evidence-based answers,

based on supporting evidence and the quality of information found.

Cognitive computing is a natural fit for the regulatory compliance space because it can be used to accomplish the significant amount of analysis required to read and interpret regulations. The traditional process of distilling regulations into distinct requirements is a demanding and continuous undertaking. Compliance professionals must read hundreds of regulatory documents and determine which of the thousands of lines of text constitute true requirements. Given the same document to assess, different staff can arrive at different conclusions. In a manual environment, this adds another layer of issues to track while the parties resolve whether the identified text is or is not a requirement.

This work is usually performed on a continuous cycle and under the pressure of deadlines. The end-to-end process of identifying and finalizing the requirements inventory can be demanding and tedious. It is also traditionally encumbered by the heavy use of spreadsheets for tracking of regulations, requirements, internal decisions and statuses. Together, these conditions have the potential to negatively impact the work environment and can result in low morale and high turnover. Only when the human effort can shift from the tedium of manual processes (collect regulations, identify requirements, and track compliance issues through spreadsheets) to an automated solution will end-to-end visibility and transparency be realized. Cognitive computing technology can help an institution realign its approach from outdated information processing techniques to a state-of-the-art solution that enables this transformation.

IBM Watson Regulatory Compliance puts the power of cognitive computing into the hands of compliance professionals, giving them the capabilities needed to leverage data to help them manage risk and compliance requirements, and optimize data for more effective analysis. It is specifically tailored for compliance departments and offers, or in the future may offer, core functionalities that include:

  • Document ingestion
  • Requirements parsing and identification
  • Requirements decisioning and management
  • Categorization of requirements
  • Mapping of controls to requirements
  • Harmonization of risk frameworks
  • Interactive reporting and analytics
  • Automated audit trail
  • Automated requirements catalog
  • Centralized document library

Watson Regulatory Compliance is designed to help organizations use cognitive technology to transform key portions of their regulatory compliance processes that are traditionally performed manually.

IBM Cognitive

These enhancements, enabled by Watson, can potentially help an organization to reallocate resources to more value-added compliance and analytic activities for improved transparency across the compliance function.

A conceptual end-to-end approach for cognitive compliance and requirement management, to categorization, mapping of controls and standards, and analytics and reporting is presented in the following figure.

IBM Cognitive 2

Click here to access IBM’s White Paper

 

How the Distinct Roles of Internal Audit and the Finance Function Drive Good Governance

How the Distinct Roles of Internal Audit and the Finance Function Drive Good Governance

Effective governance involves many individuals and departments throughout an organization, including the Board of Directors, executive management, finance, and internal audit, among others. Yet each of these groups has a different set of skills and responsibilities. To successfully identify and manage risk, they must come together to create and maintain a sound system of corporate governance.

The insights shared here by 11 governance experts offer important perspective as to how finance and internal audit collaborate to support corporate governance, despite their distinct and separate missions.

Interviewees provided perceptions and experiences and shared best practices, as well as challenges, that they have encountered on their quest to achieve effective governance. These contributors come from organizations around the world that differ in size, industry, and management configurations. Several experienced governance from within both the finance function and internal audit.

A few shared perceptions include:

  • The Board of Directors is responsible for setting the proper tone for the organization;
  • It is critical to purposefully develop a consistent culture throughout the organization, driven by the CEO and senior management; and
  • Communication and coordination across complementary functions is vital.

Keys To Achieving Good Governance

There are many different definitions of governance. According to The Institute of Internal Auditors (hereafter The IIA), governance is “the combination of processes and structures implemented by the board in order to inform, direct, manage and monitor the activities of the organization toward the achievement of its objectives.

The International Federation of Accountants (hereafter IFAC) uses a slightly different definition which focuses more on the creation of strategic objectives and stakeholder value, “Governance is to create and optimize sustainable organizational success and stakeholder value, balancing the interests of the various stakeholders. It comprises arrangements put in place to ensure that organizations define and achieve intended outcomes.

Both definitions suggest that good governance and the achievement of organizational success are not the responsibility of the Board alone, but rather the outcome of a mosaic of organizational policies, processes, and cross-functional interactions.

When asked to provide the key objectives of governance, interviewees shared a number of different perspectives. Most frequently, good governance was defined as representing the interests of stakeholders by setting appropriate objectives and driving a culture that supports them.

Three LoD

Click here to acces IFAC and IIA’s detailed article

Mastering Risk with “Data-Driven GRC”

Where are organizations heading ?

“Data Driven GRC” represents a consolidation of methodologies, both functional and technological, that dramatically enhance the opportunity to address emerging risk landscapes and, in turn, maximizing the reliability of organizational performance. This paper examines the key opportunities to leverage change—both from a risk and an organizational performance management perspective—to build integrated, data-driven GRC processes that optimize the value of audit and risk management activities, as well as the investments in supporting tools and techniques.

Functional Stakeholders of GRC Processes and Technology

The Institute of Internal Auditors’ (IIA) “Three Lines of Defense in Effective Risk Management and Control” model specifically addresses the “who and what” of risk management and control. It distinguishes and describes three role- and responsibility-driven functions :

  • Those that own and manage risks (management – the “first line”)
  • Those that oversee risks (risk, compliance, financial controls, IT – the “second line”)
  • Those functions that provide independent assurance over risks (internal audit – the “third line”)

The overarching context of these three lines acknowledges the broader role of organizational governance and governing bodies.

Technology Deficiencies in the Three Lines of Defense

Since the emergence of Sarbanes-Oxley, the use of technology in risk and control related processes has truly started to take meaningful shape in many organizations. However, when looking across the risk and control oriented functions in most organizations, technology is still typically used on a departmental or point solution basis.

Third Line (internal audit) use of risk & control technology

For the past decade, surveys of internal auditors have consistently identified the more effective use of technology as among the most pressing issues facing the profession. Specifically, the responses to the surveys also referred to the need for increased use of technology for audit analysis, fraud detection, and continuous auditing. Other surveys also highlight a shortage of sufficient technology and data analysis skills within audit departments.

Much of the driving force for improving the use of technology is based on the desire to make the audit process itself more efficient and more effective, as well as to deliver more tangible value to the rest of the organization.

During the past decade, the role of the internal audit function itself has changed considerably. Internal audit’s traditional focus on cyclical audits and testing internal controls is evolving into one in which internal audit is expected to assess and report on the effectiveness of management’s processes to address risk overall. This often includes providing guidance and consultation to the business on best practices for managing risk and compliance within business process areas and maintaining effective control systems. The use of technology is an increasingly critical component of these best practices and in some cases internal audit is able to champion the implementation of high-impact, high-value technology within the business’s risk management and compliance processes, based on their own experience in using technology for assurance purposes.

There is considerable variation in the extent to which internal audit departments leverage technology. However it is certainly fair to say that for audit to be truly valuable and relevant within the context of organizational strategy, a significant improvement is required across the board. Internal audit as a profession simply is not moving forward at the pace of technology.

Some specific statistics from recent research reveals:

  • Only approximately 40% of internal audit departments use audit and documentation management systems from specialized vendors. The remainder use disorganized tools and processes, typically based on Microsoft Office® & shared folders.
  • Audit programs for specific business process areas and industries are usually developed through a combination of previously used programs and those shared on various audit-related websites. This approach does not address organization-specific risk.
  • Next generation testing techniques, especially data analytics, are overwhelmingly underutilized.

Second Line (risk, compliance, financial controls, IT) use of risk & control technology

Outside of audit, in other areas of risk and compliance, some organizations have acquired specialized departmental software, but the majority use only basic Office tools to maintain inventories of risks, document controls and perform risk assessments. In larger enterprises, it is not unusual to have a variety of different technologies and approaches applied in different operational entities or in different functional areas. This approach is usually more costly and less effective than one based on a common platform. Effective testing methods using technology are usually unavailable or left unconsidered.

In fact, second line of defense functions often rely heavily on inquiry-based methods such as surveying, which are proven ineffective at identifying the actual manifestations of risk in the organization. If analytical software is used in the business for investigations or monitoring transactions, it in many cases involves standard query tools or some form of generic business intelligence (BI) technology. Although good for providing summary level information or high-level trends, BI tools struggle to show the root cause of problems. And while they may have certain capabilities to prevent fraud and errors from occurring, or to flag exceptions, they are not sufficient to effectively trap the typical problem transactions that occur.

First Line (management) use of risk & control technology

While in some cases, first line management have access to better technology for use on specific pain point areas (e.g., continuous transaction monitoring technology used within finance departments), there is a common tendency for management to place far too much reliance on core business systems for effective control. While the large ERP and other system vendors seem to have extensive capabilities for preventing control deficiencies, the reality is that these are extremely extensive and complex systems and internal controls are usually the afterthought of those implementing them, not a core focus. For example, in many cases certain control settings are turned off to enable the ERP system to run more efficiently.

An integrated and collaborative approach to managing risks and monitoring controls in collaboration with the second and third lines of defense, using a common, independent methodology and technology platform, typically proves the most effective in accomplishing management’s key risk mitigation strategies.

DD GRC

 

Click here to access ACL’s White Paper