Enterprise Risk Management
Identifying, assessing, and managing the risks that affect your day-to-day operations is a sizable undertaking. But without undergoing the process, you could be losing money where you shouldn’t, or worse, creating an exposure that could devastate your company. Our proven Enterprise Risk Management (ERM) methodology examines multiple areas of your business, striving to improve overall performance with the goal of producing a greater return on your bottom line.
Hein’s methodology and Enterprise Risk Management Analyzer (ERMA)™ deliver a deeper understanding of your risks, faster—and a list of immediate priorities. Our deliberate and tailored approach sets us apart in helping you measure risk in your organization.
The Hein Process
We begin by identifying all of your internal and external risks (operational, financial, technological, legal, and competitive), cross referencing, and performing market comparisons. As part of this comprehensive look at your company, we conduct numerous interviews with key people, in addition to surveying others throughout your organization. By adding the element of conversation, we can probe deeper for information and understanding of all aspects of your business.
Our unique Enterprise Risk Management Analyzer (ERMA)™ helps synthesize the information we gather, more quickly determine what your risks are, and prioritize your primary risks so you know where to focus your immediate attention going forward.
We not only measure your risk, but can also help management teams implement the processes and controls that enable continued monitoring toward key risk areas and initiatives.
Specialized Services and Expertise
- Education regarding evaluation criteria
- Stress tests (“what-if” scenarios)
- Strategic and operational risk evaluations
- Risk/fraud and control assessments
- ERM rating process, criteria, and quality scores
- Risk mitigation programs
Recent Articles
The Staying Power of ERM in Internal Auditing
Many may feel that enterprise risk management is a passing fad, but evidence shows otherwise…

