How can AI transform your efficiency and productivity?
Learn more about how RSM’s artificial intelligence (AI) consulting advisors can integrate AI into your critical business processes, strengthening decision making and user satisfaction.
AI has rapidly evolved from science fiction to a necessary tool for success in the middle market. When leveraged effectively, AI solutions can improve key processes across all organizations, from streamlining transactional back-office processes and detecting fraud to conducting more focused demand planning and delivering a better customer and user experience.
As with any new technology, AI works best when you start with a problem you want solved and then apply AI solutions to it. Attempting to apply any technology without a plan in place often does not meet expectations, but mapping out critical business needs and then strategically deploying AI solutions can yield truly transformational results. Simply put, you can save money, save time and make more informed business decisions with AI, but proper planning and integration are critical for success.
With RSM, you can capitalize on the vast potential of AI
RSM’s AI consulting services and solutions can efficiently identify your most important pain points and where AI can have the most impact. Our experienced advisors can leverage the power of innovation to create and implement a proactive AI strategy that can turn your business challenges into a competitive advantage and successfully manage potential AI risks.
The use of AI is quickly growing in the middle market, as companies discover the potential of the technology and see the results first-hand.
In a recent RSM middle market AI survey:
The time to act on AI is now. RSM’s AI consulting services and solutions team enables you to understand the technology, find the most beneficial use cases within your organization and utilize AI as a catalyst for change.
Table of contents
- The middle market AI playbook
- What is AI consulting?
- How can a consultant help my business better utilize AI technology?
- How can AI consulting help me identify and prioritize AI opportunities?
- How can AI improve efficiency and productivity in my organization?
- What are the challenges or risks associated with AI adoption and how can they be mitigated?
- What are the cybersecurity risks related to AI?
- How do I get started with AI?
- Additional AI FAQs
The middle market AI playbook
With AI technology becoming more accessible and expanding to more business functions, middle market companies need a plan. But before you develop and implement an AI strategy, you must understand what is truly possible and how to align the technology to your overall business processes and goals.
Our new guide provides critical insights into AI and how to deploy an effective AI strategy. As with any modern technology investment, capturing anticipated value is not a given, and is dependent on many factors such as choosing the right tools and implementation approach, and successfully managing risks.
What is AI consulting?
Despite its surging popularity in the middle market, AI is not simply a plug-and-play solution. An effective solution requires nuance, judgment and experience that many organizations do not possess in-house. Advice and guidance from an experienced AI consulting firm can create and deploy a strategy that successfully capitalizes on AI technology.
How can a consultant help my business better utilize AI technology?
An AI approach must be tuned effectively to be truly effective. A trusted AI consulting firm like RSM can shape your strategy and direct how and where AI solutions are deployed to increase the potential for significant results.
How can AI consulting help me identify and prioritize AI opportunities?
An experienced AI consulting firm has exposure to a broad range of solutions and use cases that can be successfully applied to your organization. AI is a journey, not a one-time solution—especially as technology and potential applications continue to evolve. A consultant can target opportunities that will have the biggest impact on your business now, while outlining strategies for ongoing enhancements moving forward.
How can AI improve efficiency and productivity in my organization?
Across all industries, AI has the potential to deliver seismic improvements to insight and efficiency.
For example, if you are a builder who cannot quickly get projects started because progress is stifled by manual forms and permit applications, AI solutions can automatically populate much or all the necessary data, saving significant time and money and directly contributing to new business.
If you are a manufacturer, AI applications can give you visibility into when a piece of machinery needs maintenance or may need replacement. For manufacturers, AI’s potential to enhance predictive maintenance, optimize supply chains and improve quality control is only the start. Increased productivity, enhanced decision making and cost savings will drive broader adoption of the technology.
Within health care, AI solutions and generative AI governance can help drastically improve patient care. AI can utilize patient data to rapidly diagnose conditions or develop effective care plans. Doctors can also hone their skills on AI-generated procedure simulators to save them time and improve the patient experience.
The potential uses for AI are almost limitless. Human intervention is almost always necessary as a safeguard to ensure accuracy, but the productivity and efficiency gains are extremely valuable, especially as staffing challenges are projected to persist moving forward.
What are the challenges or risks associated with AI adoption and how can they be mitigated?
Many of the risks related to AI adoption are related to data security and privacy. In fact, in RSM’s middle market AI survey, among companies that don’t plan on using generative AI in the next 12 months, 46% say they have concerns over data privacy and security.
However, many of those risks only emerge if companies upload data to a public large language model or send data within a prompt.
Companies need to have an effective control environment to secure sensitive information to ensure it is not shared with those who should not have access. This is not a new concept, but a new application of a common risk mitigation strategy.
Many companies do not have internal resources with exposure to rapidly evolving AI solutions and emerging use cases. An experienced third party like RSM can connect business goals to AI technology.
Your AI advantage starts here: Insights, use cases and ROI uncovered
Artificial intelligence in action
Real-world AI considerations and use cases from middle market data executives
Q&A with chief data officers
Fireside chat: CDOs share real-world AI implementation challenges and recommendations
Podcast: Middle market AI adoption
Tune in for lessons learned and the key to middle market AI adoption success
What are the cybersecurity risks related to AI?
Much like AI has enabled businesses to complete tasks faster and increase organizational efficiency, it has done the same for cybercriminals. AI has reduced the time necessary for hackers to launch attacks, amplifying the magnitude of current cybersecurity threats.
Many companies are concerned that increased usage of AI will expose sensitive information, but effective controls over that data should limit those risks. It is not a new concept, but a new application for many companies.
In addition, if a company wants to build a fully enabled large language model that requires expert-level information and feedback, it will likely be derived from a similar model someone else has built. Whether the model is hosted by a provider or built internally, it is subject to access risks.
However, practices and techniques to safely build and maintain models are available. Companies must consider where the model lives, what information the model can have access to, and whether anything happened in the development or the operation of that model that could inject additional risk. If the company does not control and own the model, then a provider could increase the level of risk.
But in these scenarios, the risks are manageable and largely related to internal controls and education.
How do I get started with AI?
Successful AI implementation and integration is a complex process, and companies can start at varying maturity levels. Some companies need baseline AI education to understand the technology, while others have that internal knowledge and can begin by developing design elements and strategies. Others may have the in-house personnel to determine their AI approach but need assistance with execution and deployment.
No matter where you are on your journey, RSM AI consulting solutions can guide your business to focus on what’s practical to begin your AI journey. For many companies, an AI readiness assessment is an effective first step to determine how AI can be used within. From an education perspective, our team can deliver a wide range of services from a ChatGPT starter kit to on-demand AI training. For more mature companies with a strategy in place, we offer comprehensive project and program management, testing and training, and policy and governance along with other services in preparation for implementation.
Article
April 25, 2024
Middle market is confident about AI despite early-stage adoption challenges
A new RSM survey details how middle market companies are taking advantage of artificial intelligence (AI) and where opportunities may exist.
Perspective
September 05, 2023
The 3 pillars of artificial intelligence: How AI will reshape business and the economy
Understanding what AI can bring to businesses is critical. What we call the three pillars of artificial intelligence will have profound implications for businesses and the economy.
Article
April 04, 2024
AI and machine learning: It may not be as difficult as you think
AI and machine learning solutions are now much more realistic for middle market companies, with the potential for increased insight and efficiency through automation.
Article
January 12, 2024
The art of the practical: Adopting AI in a responsible way
Insights and best practices on how to navigate the intricate AI environment and drive enhanced growth and efficiency.
Article
December 05, 2023
Capitalizing on AI: 8 common use cases for your organization
Learn about several common artificial intelligence (AI) use cases that can deliver the most return on investment and strengthen business operations.
Additional AI consulting FAQs
An AI solution only works as well as the data that supports it. You must ensure that your data is accurate, complete and well-organized, or your AI projects may introduce risks and fail to live up to expectations. With this in mind, confirming the quality of your data is a critical first step to any AI implementation.
AI tools and solutions are designed to seamlessly align with critical business workflows and processes. Instead of working alongside business functions, an effective implementation tightly integrates AI solutions so they work in harmony and rapidly deliver deeper insights and greater efficiency.
With an effective vision and a successful implementation and integration plan, the potential benefits of AI are expansive. Traditional AI solutions can unlock increased productivity and efficiency within critical business processes while strengthening the user and customer experience. In addition, generative AI tools increase insight and analytical capabilities while boosting your creativity with content creation capabilities and also building better customer satisfaction. Ultimately, AI provides many opportunities to transform your business and create a competitive advantage, especially as new use cases emerge.
Contact our AI consulting professionals
AI tools and solutions can provide big benefits, but an effective strategy must be in place to deliver their anticipated return on investment. Our AI consulting team can build your strategy from scratch or enhance your efforts to capture the maximum value possible from AI solutions.
Complete this form and an RSM representative will be in touch shortly.
