Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. It encompasses various technologies such as machine learning, natural language processing, and computer vision, among others. With increased analytic capabilities for decision-making, AI is changing how businesses operate and make strategic decisions.

‍

Consultants have typically provided their knowledge from strategy and specific industries, but now generative AI is influencing some key aspects in consultants' work.  Forward-thinking organizations are integrating it into their processes. Using purpose-built AI tools has become increasingly relevant also within the consulting industry.

‍

Traditional consulting services can be partially substituted with extensive information sourcing capabilities that AI provides. However, consultants can also hugely benefit from AI technologies in delivering superior value to their clients.

‍

AI in market mapping and competitor research

‍

What is market mapping?

Market mapping, including competitor research, is an essential component of consulting, providing valuable insights into the competitive landscape and helping businesses make informed decisions. 

‍

In the past, competitor research heavily relied on the expertise and experience of consultants who would leverage their industry knowledge to identify key players, make manual online searches, conduct interviews, and collect information such as financial data. While industry knowledge continues to be crucial, AI tools have made competitor research and market mapping much more dynamic. 

‍

Leveraging AI tools for market mapping and competitor research

‍

Today, consultants can use AI-powered tools to extract datasets from various sources. Instead of relying on fragmented information, AI consolidates various data sources, including social media, news articles, customer reviews, and financial reports. Consultants can leverage these findings of target markets, customer preferences, and competition to build a holistic view of the competitive landscape.  

‍

A richer picture of the competitive landscape will result in more effective strategy recommendations for clients. More in-depth data will identify emerging trends and help enter markets at the right point in time. 

‍

Inven’s tool accesses all companies from a specific niche with one click, so that consultants can build market mapping projects in no time. 

‍

AI algorithms can rapidly gather competitor data. Some tools can also make it easier to accumulate data points about companies’ strengths and weaknesses, and create automated estimations, analysis and visualizations about the findings.

‍

AI in M&A consulting

‍

When it comes to AI in M&A activities, the key benefit includes an advanced search quality for acquisition targets. With additional analysis proficiency and reduced human bias, consultants can make more data-driven, well-informed decisions during the M&A process.

‍

Accelerated deal sourcing

AI consulting tools connect millions of data points, including financial data, market trends, company profiles, and more, into one platform. AI-powered M&A tools leverage natural language processing (NLP) to enable advanced search functionalities. Consultants can request the NLP systems to find specific types of companies based on criteria such as niche industries, location, employee count, and more. This accelerates the identification of relevant targets for potential mergers or acquisitions.

‍

Finding acquisition targets globally, without language barriers

AI tools mitigate the language barrier challenges often encountered in M&A process. AI tools allow consultants to cover potential international markets without needing to know the local language. For example, Inven’s tool scans data from global markets to find all the relevant acquisition candidate results.

‍

See also

‍

Improved due diligence 

In M&A consulting, due diligence processes become less time consuming. Much of gathering and interpreting data, including financial statements, contracts, regulatory filings, and industry reports, can be compressed into a shorter time frame. The remarkable ability of AI to utilize data will help consultants uncover hidden insights that may impact the success of an M&A deal.

‍

See also:

‍

AI in other areas of consulting

‍

AI simplifies data management and automates time-consuming and manual tasks, thus freeing up consultants' time to higher-value tasks. AI also enables consultants to anticipate market trends, forecast business outcomes, and develop personalized strategies for their clients. 

‍

Advanced data analysis

Data analysis is a vital component of consulting, and AI enables consultants to analyze large volumes of data more quickly and accurately. With advanced algorithms and machine learning techniques, AI-powered tools can quickly process complex information and identify patterns. This helps consultants to identify trends, risks, and opportunities, and provide more valuable recommendations to their clients. For instance, the ChatGPT Code Interpreter enables consultants to effortlessly analyze data, yielding surprisingly accurate results. 

‍

Fast client material production

AI has played a significant role in automating client material production processes. Creating impactful materials and one-pagers for clients is a common task. For example, PowerPoint slides and one pager generation can be partially automated. Some leading firms such as Goldman Sachs and MBB firms have already developed their purpose-built, automated tools that generate materials tailored to their needs. These tools increasingly support the consulting process, ensuring consistency and professionalism, and resulting in improved resource utilization.

‍

New artificial intelligence business area

As AI continues to advance, a new project type has emerged within the consulting industry: implementing AI attributes into businesses. Consultants are now assisting organizations to utilize AI technologies to optimize operations, improve customer experiences, and drive innovation. This exciting project type showcases the transformative potential of AI and its ability to revolutionize industries across various sectors.

‍

Challenges of AI to the consulting industry

‍

As a disruptive technology, AI comes with its share of potential challenges for the consulting industry. 

‍

Challenges of AI include:

  • Customers replacing some consulting services with AI
  • Reduction of critical thinking
  • Lack of human intuition and empathy
  • Client resistance

‍

AI can change the consulting industry so that businesses increasingly embrace AI as a viable alternative to traditional consulting services. Rather than passively waiting for AI to revolutionize the field, consultants can proactively harness the potential of AI to elevate their offerings and deliver enhanced value to clients. 

‍

While AI tools enhance the efficiency and accuracy of research, such as market mapping, they do not replace the importance of industry knowledge. Over-reliance on AI can reduce critical thinking and reliance on robust professional experience. Too much reliance on AI can lead to poor decision-making. 

‍

AI systems lack human intuition and empathy, which are essential in many decision-making processes. AI will struggle to understand complex human interactions, culture, and emotions. Situations that require human judgment and emotional intelligence can be out of AI’s capacity, which can lead to undesired outcomes.

‍

With mixed news about AI reliance, clients can be hesitant to allow AI-based solutions being used in their projects. AI can pose a brand risk in case it has been too prevalently used. Convincing clients to trust AI-based consulting solutions can be challenging.

‍

Therefore, industry expertise remains vital in interpreting the results, validating insights, and understanding the nuances specific to a particular sector. Consultants still have a significant role in recognizing reliable sources and putting AI-derived insights into proportion as related to other materials and knowledge. This opens up new ways to reinforce their role as indispensable strategic partners in interpreting market trends and challenges. 

‍

The impact of AI on the consulting industry: Possibilities

‍

Consultant’s value-add is based on personal and their company’s mass of information and implicit knowledge. This has been built over years of hands-on experience. With the development of AI tools, the industry has many possibilities in organizing the consultants’ daily tasks more efficiently. 

‍

AI tools serve as a powerful complement to industry knowledge, allowing consultants to focus their efforts on strategic analysis and decision-making rather than laborious data collection. From more in-depth and agile data analysis, to faster market mapping projects, and creating customer materials, AI saves a lot of time and effort. With access to almost all of the world’s data, consultants can deliver new business opportunities and actionable findings to their clients. 

‍

In summary, the possibilities of AI include:

  • Accelerated deal sourcing
  • Finding acquisition targets globally
  • Improved due diligence 
  • Advanced data analysis
  • Fast client material production
  • New artificial intelligence business area

‍

The mix between consultants and AI technologies is not about replacing one with the other. AI will work in synergy with consultant’s professional skills, giving more depth to decision-making and innovative problem-solving. In other words, consultants can expand their capabilities by adding AI into the toolbox. 

‍

Conclusion

‍

In summary, AI has had a profound impact on the consulting industry. As AI technology evolves further, consultants can expect even greater efficiency, accuracy, and innovation in their work. To mitigate the risks, consulting firms need to strike a balance between leveraging AI's capabilities and maintaining the expertise and judgment that human consultants provide. 

‍

Consultants’ role remains to guide businesses towards success with the combination of human expertise and AI-driven analysis. This can result in better outcomes for clients and continued growth for consulting companies.