{"id":64602,"date":"2023-09-23T15:00:00","date_gmt":"2023-09-23T19:00:00","guid":{"rendered":"https:\/\/ifintechworld.com\/markets\/why-companies-buy-generative-ai-consulting\/"},"modified":"2023-09-23T15:00:07","modified_gmt":"2023-09-23T19:00:07","slug":"why-companies-buy-generative-ai-consulting","status":"publish","type":"post","link":"https:\/\/ifintechworld.com\/?p=64602","title":{"rendered":"Why Companies Buy Generative AI Consulting"},"content":{"rendered":"<div>\n<p>Is Generative AI \u2014 chatbots that spit out original content in response to natural language user prompts \u2014 over-hyped?<\/p>\n<p>Consulting firms \u2014 competing to help their clients tap the technology\u2019s potential to improve their business \u2014 are putting their money where their mouths are.<\/p>\n<p>Here are three examples:<\/p>\n<ul>\n<li><strong>Accenture<\/strong><fbs-ticker data-name=\"ACN\" data-href=\"https:\/\/www.forbes.com\/companies\/accenture\" data-type=\"stock\"><br \/>\n   ACN<br \/>\n  <\/fbs-ticker> is investing $3 billion to double its AI headcount to 80,000.<\/li>\n<li><strong>KPMG<\/strong> pledged to buy $2 billion worth of Microsoft<fbs-ticker data-name=\"MSFT\" data-href=\"https:\/\/www.forbes.com\/companies\/microsoft\" data-type=\"stock\"><br \/>\n   MSFT<br \/>\n  <\/fbs-ticker> Cloud and AI services by 2028 to unlock $12 billion in incremental revenue for KPMG.<\/li>\n<li><strong>PwC<\/strong> is investing $1 billion in a \u201c3-year AI roadmap\u201d and plans to strengthen AI customer offerings, strengthen tech partnerships, and train 65,000 employees.<\/li>\n<\/ul>\n<p>Meanwhile \u2014 while not quantifying their investments \u2014 Mckinsey, Boston Consulting Group, and Deloitte and others have published their thoughts on how potential clients \u2014 with the consultants help \u2014 can benefit from deploying Generative AI.<\/p>\n<p>It could take years to find out whether these investments pay off. Yet consulting executives I interviewed this month say they are seeing strong client demand for their services.<\/p>\n<p>One industry expert, Michele Goetz, Forrester Research<fbs-ticker data-name=\"FORR\" data-href=\"https:\/\/www.forbes.com\/companies\/forrester-research\" data-type=\"stock\"><br \/>\n  FORR<br \/>\n <\/fbs-ticker> Vice President\/Principal Analyst, told me clients are paying millions in consulting fees for help deploying Generative AI in their companies.<\/p>\n<p><fbs-ad position=\"inread\" progressive=\"\" ad-id=\"article-0-inread\" aria-hidden=\"true\" role=\"presentation\"><\/fbs-ad><\/p>\n<p>The reason? Through lower costs and\/or higher revenues, clients expect Generative AI applications to earn back those consulting fees within three months of deployment.<\/p>\n<p>Read on for details on how much companies are benefiting from Generative AI consulting services, what distinguishes the most successful consultants from their peers, and which new services consultants expect clients to demand in the future.<\/p>\n<h2 class=\"subhead-embed color-accent bg-base font-accent font-size text-align\">The Return On Investment In Generative AI Consulting<\/h2>\n<p>Consulting firms can charge millions to help clients dream up and deploy Generative AI applications. Goetz said, \u201cThe cost depends on the project. They start at $500,000 and go to $2 million to $5 million. For a three phase project, the cost can range from $10 million to $50 million.\u201d<\/p>\n<p>Forrester sees clients getting their money back in well under a year. \u201cCompanies forecast a payback within three months of deployment. In some cases, companies see results in two to eight weeks. In other cases, time to value is three to six months,\u201d she told me.<\/p>\n<p>Companies achieve this payback through quantitative and qualitative improvements. \u201cOne company reduced its call center costs by $80 million in the course of a year. The benefits included cost savings from shifting responses to level 0 and level 1 questions from human agents to Generative AI virtual assistance and agents using the technology to respond faster and more accurately to customer inquiries. In addition, Generative AI increases customer satisfaction and improves net promoter scores,\u201d Goetz explained.<\/p>\n<p>Generative AI can also add to clients\u2019 revenue. \u201cA cruise ship company used Generative AI to recommend ancillary activities their customer could activate during the voyage \u2014 boosting revenue by $1 billion. An Asian bank\u2019s [Generative AI-powered] virtual investment assistance delivered an additional $500 million worth of trading volume,\u201d she told me.<\/p>\n<h2 class=\"subhead-embed color-accent bg-base font-accent font-size text-align\">What Companies Need From Generative AI<\/h2>\n<p>Companies hire Generative AI consultants to solve a variety of problems. As KPMG National Managing Principal Atif Zaim explained in a September 22 email, \u201cLarge corporations focus on productivity improvement opportunities. Private equity firms seek to both improve their deal-making process and support their portfolio companies in adopting the technology. \u201d<\/p>\n<p>In general, companies hire Generative AI consultants \u201cto help re-shape their strategies, identify new revenue opportunities and stay ahead of competitive risks,\u201d Zaim said.<\/p>\n<p>While companies began 2023 by learning about and starting to experiment with Generative AI, now the \u201cfast movers are planning large scale implementations to gain competitive edge and accelerate productivity improvements ahead of others,\u201d he explained.<\/p>\n<p>Companies ask KPMG for support with projects such as:<\/p>\n<ul>\n<li><strong>Ranking Generative AI use cases<\/strong> based on how much they will improve client processes and operations.<\/li>\n<li><strong>Developing safe-for-employee<\/strong> internal generative AI tools.<\/li>\n<li><strong>Preparing internal proprietary data <\/strong>to safely train their customized Generative AI models.<\/li>\n<li><strong>Building a long-term AI strategy<\/strong> to scale and capture potential value.<\/li>\n<li><strong>Establishing governance policies<\/strong>, frameworks, and tools for managing risk.<\/li>\n<\/ul>\n<p>Other clients have more specific needs. For example, in a September 21 email, EY Americas Data, AI and Automation Leader Traci Gusher, said client needs include:<\/p>\n<ul>\n<li>Scaling technology and data architectures for enterprise-wide Generative AI deployment<\/li>\n<li>Training board and C-Suite leaders in Generative AI literacy.<\/li>\n<li>Building high priority generative AI applications to deliver \u201cquick value wins.\u201d<\/li>\n<\/ul>\n<h2 class=\"subhead-embed color-accent bg-base font-accent font-size text-align\">How Potential Clients Evaluate Generative AI Consultants<\/h2>\n<p>Potential clients evaluate consultants based on the return on their Generative AI investment.<\/p>\n<p>KPMG says clients seek consultant teams with the diverse skills needed to capture Generative AI\u2019s opportunities and protect against its risks. To help clients, Zaim said KPMG offers skills in diverse domains such as the following:<\/p>\n<ul>\n<li>Generative AI engineering.<\/li>\n<li>Key systems and data platforms.<\/li>\n<li>Risk management and cybersecurity.<\/li>\n<li>Experience with responsible and ethical Generative AI use.<\/li>\n<li>Knowledge of functional and industry \u201cvalue-levers.\u201d<\/li>\n<li>Business strategy and change management.<\/li>\n<\/ul>\n<p>EY agrees clients wants many of these skills \u2014 and more. \u201cThey are seeking providers that can demonstrate execution level experience using the technology, as well as, constantly evolving the how and why of using the technology, given how fast it is evolving,\u201d Gusher noted.<\/p>\n<p>Forrester says client executives are willing to trust the consultants that have given them the best strategic advice. As Goetz told me, \u201cThe winners challenge and push clients to do something different. They help clients refine their ideas, focus on the best ones, and build a roadmap.\u201d<\/p>\n<p>Despite their initial lack of technical know-how, Forrester sees the strategic consultants enjoying an advantage with potential clients. \u201cClients perceived McKinsey and BCG as great strategic advisors who initially did not do as well on technology. But they had built trust with senior executives after they added new technical capabilities, clients gave them a chance do deployment,\u201d she said.<\/p>\n<p>To hedge their bets, some clients are splitting projects and using different consultants for each. \u201cMars \u2014 the candy and pet food company\u2014 hired two firms. One worked on improving the speed and accuracy of filling bags of pet food, the other on filling boxes of M&amp;Ms,\u201d Goetz explained.<\/p>\n<p>Companies that host such bake-offs choose the winning firm based on effectiveness, confidence, knowledge transfer to the client, and putting skin in the game \u2014 namely taking 20% to 50% of their fee based on the project\u2019s cost savings or revenue enhancement, she told me.<\/p>\n<h2 class=\"subhead-embed color-accent bg-base font-accent font-size text-align\">Handicapping The Generative AI Consultants<\/h2>\n<p>Who are the most successful generative AI consulting firms?<\/p>\n<p>By helping companies use Generative AI technology to create value, EY considers itself to be a strong competitor. Gusher said EY challenges clients to use Generative AI as a \u201ctransformative accelerator rather than deploying \u201cnarrow use cases that are just experiments.\u201d<\/p>\n<p>Moreover, Gusher extols EY\u2019s blend of technical and business expertise, its use of the technology inside the firm which yields insights for clients, and its ability to design Generative AI applications so clients can scale up deployment to all their employees.<\/p>\n<p>KPMG sees itself as a strong contender in Generative AI consulting due to its history in traditional AI and the trust it has won from its risk, regulatory, and cybersecurity practices. Zaim says KPMG \u2014 which was first in its field to deploy Generative AI for its employees \u2014 is \u201cnow recognized as an early mover in the Generative AI space.\u201d<\/p>\n<p>KPMG also wins due to its ability to engage with a client from strategy through implementation and its partnerships with technology partners \u201cthat are now the leading shapers of the Gen AI revolution,\u201d noted Zaim.<\/p>\n<p>Forrester sees the strategic consultants as the industry leaders. \u201cMcKinsey \u2014 which acquired Quantum Black in 2015 \u2014 and BCG are leaders. They used to be seen as good on the executive perspective of how best to deploy AI. Now they are good in the delivery arena as well,\u201d Goetz said.<\/p>\n<p>Deloitte, Cap Gemini, KPMG, EY, and PwC are good at delivery. She credits these firms with \u201cbusiness chops\u201d and the ability to \u201cdeliver data and AI as well as digital business transformation. They have respectable, scalable approaches with protocols or plans for the C-Suite, senior managers, and developers. They are teaching skills to put into an operationalized environment,\u201d she argued.<\/p>\n<p>Companies like Cognizant<fbs-ticker data-name=\"CTSH\" data-href=\"https:\/\/www.forbes.com\/companies\/cognizant\" data-type=\"stock\"><br \/>\n  CTSH<br \/>\n <\/fbs-ticker>, Wipro, and Infosys she sees as lacking business strategy skills \u2014 while being strong in delivering.<\/p>\n<h2 class=\"subhead-embed color-accent bg-base font-accent font-size text-align\">The Future Of Generative AI Consulting<\/h2>\n<p>In the future, companies are likely to demand new services from Generative AI consulting firms. KPMG envisions demand for new services such as:<\/p>\n<ul>\n<li><strong>Cybersecurity <\/strong>to defend companies against possible increased exposure resulting from Generative AI deployment \u2014 through Cranium, a KPMG spin-out.<\/li>\n<li><strong>Human Capital Advisory<\/strong> to help \u201can AI-enabled workforce\u201d operate more effectively through changes to an organization\u2019s \u201cstructure, skills, staff size and culture,\u201d according to Zaim.<\/li>\n<li><strong>Using Generative AI in R&amp;D<\/strong> to make products and services more valuable to customers, \u201cby augmenting the R&amp;D and product development process,\u201d Zaim said.<\/li>\n<li><strong>Estimating the \u201cGenerative AI upside\u201d in M&amp;A<\/strong> transactions through a financial model that estimates how the technology could improve a target company\u2019s productivity.<\/li>\n<\/ul>\n<p>EY sees other new demands from clients. Gusher said Generative AI must connect with other \u201cAI systems, automation and analytics to drive transformative value.\u201d EY also sees companies demand help \u201cwith process re-design, talent reskilling, and broad change management,\u201d she said.<\/p>\n<p>As long as Generative AI consultants can envision new ways to help clients capture value from the technology, their services should remain in demand.<\/p>\n<\/div>\n<p>Read the full article <a href=\"https:\/\/www.forbes.com\/sites\/petercohan\/2023\/09\/23\/3-month-payback-why-companies-buy-generative-ai-consulting\/\" target=\"_blank\" rel=\"noopener\">here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Is Generative AI \u2014 chatbots that spit out original content in response to natural language user prompts \u2014 over-hyped? Consulting firms \u2014 competing to help their clients tap the technology\u2019s potential to improve their business \u2014 are putting their money where their mouths are. Here are three examples: Accenture ACN is investing $3 billion to [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":64603,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[241],"tags":[83],"class_list":["post-64602","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-markets","tag-featured"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Why Companies Buy Generative AI Consulting | iFintechWorld<\/title>\n<meta name=\"description\" content=\"Is Generative AI \u2014 chatbots that spit out original content in response to natural language user prompts \u2014 over-hyped? 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