Making the case for AI in professional services: Stats, use cases, tips
AI in professional services promises to help firms innovate and drive growth. We've got potential use cases and best practices for you to consider.
The professional services industry has seen amazing growth in the past few years, buoyed by digital transformation. But as firms aim for more growth, they’ll need to step up the pace of innovation. The professional services trends 2025 illustrate an industry on a quest for better profitability and resilience.
In 2025, firms will be looking to turn this around by using automation and AI to improve talent management, streamline workflows, and add more specialized services to their portfolios.
Business Research Insights valued the professional services industry at approximately $6.4 billion in 2023 and expects it to reach $10.1 billion by 2032, driven by rising demand for specialized services as business becomes more complex.
Growing revenue and attracting new clients were the top priorities cited by respondents in the Oxford Economics survey, following closely by innovating with new products and services and talent attraction and retention.
AI in professional services promises to help firms innovate and drive growth. We've got potential use cases and best practices for you to consider.
Virtual assistants that use natural language processing (NLP) to respond to voice or text prompts and perform tasks are advancing rapidly, making them a top professional services trend.
These smart systems can pick up on what users actually mean, rather than just the words they say, for more relevant and helpful responses. Plus, their machine learning algorithms get better with every interaction, learning from past conversations to improve future ones.
Professional service firms are integrating digital assistants into their internal processes as well as their client services. Tools like SAP’s Joule, Microsoft’s Copilot, and IBM’s Watson come with generative AI (gen AI) features that can be customized for individual needs. The assistants can manage repetitive, time-consuming tasks such as scheduling appointments, generating reports, or pulling data.
One example use case is embedding a virtual assistant in a company’s workforce management solution to help match resources and ease various project challenges.
In the coming years, virtual assistants are set to play an even bigger role in professional services. Merging AI’s processing abilities with a better grasp of nuanced language makes these assistants a game-changer that firms can’t overlook in 2025.
Finance is the bedrock of every organization. As professional services firms strive to maximize ROI, the role of finance teams becomes more critical than ever. To remain competitive, CFOs must ensure that their finance functions not only support operational efficiency, but also drive strategic growth.
In 2025, this means that AI investments must go beyond simple automation by enabling finance teams to become more productive, and proactive while mitigating compliance risks.
These finance leaders are connecting the dots across all business areas—operations, HR, sales, marketing—to shape and execute their business strategies.
Accenture is a prime example of this trend of thinking beyond automation in finance. Their creative approach of integrating gen AI with SAP solutions streamlined their finance systems and sets a standard for what’s possible in the industry.
As McKinsey points out in their report on scaling gen AI in banking, a “high degree of centralization” works best for gen AI operating models. This helps organizations avoid getting stuck in silos or encountering issues with scale. Financial services teams and institutions using a centrally-led genAI operating model reap the most rewards.
One of the biggest trends in total workforce management within professional services is the adoption of integrated talent management platforms. Organizations are increasingly seeking end-to-end solutions that cover the entire employee lifecycle, from recruitment to retirement.
By tapping into integrated talent management platforms, firms can provide personalized insights on a larger scale. These platforms gather all sorts of workforce data to help boost retention, engagement, and performance. To stay ahead in the game, organizations are investing in technology that supports advanced data integration and analytics. This allows them to effectively use AI to manage their employees from recruitment to retirement.
More than half of the professional services firms respondents in the Oxford Economics study said they’re using AI to improve workforce planning and engagement management.
For instance, AI-powered chatbots and virtual assistants are making onboarding feel more personal and engaging. This is important since research shows that 86% of new hires decide whether to stick around within those first few months.
Plus, AI can tailor training to fit individual learning styles, predict and tackle employee turnover before it happens, and also address employee concerns proactively to help keep retention rates high.
With integrated talent management platforms, we can expect more personalized, flexible, and data-driven experiences for employees. HR Executive points out that companies will start treating their employees more like customers, adopting “customer journey” strategies to enhance engagement, loyalty, and satisfaction.
This can include customizing the onboarding experience, refining feedback approaches, offering personalized development plans, and closely tracking how employees feel at every stage of their journey to make sure it all supports their growth and keeps them motivated.
AI is revolutionizing recruitment and onboarding processes in professional services. Firms are using AI tools to screen resumes, schedule interviews, and even conduct preliminary assessments of candidates. This speeds up the hiring process and helps identify top talent more accurately.
Applicant tracking systems (ATS) are one of the more recent AI advances. Research from JobScan found that 98.4% of Fortune 500 companies use ATS in their hiring practices. These systems can scan through thousands of candidates and put the spotlight on the most promising ones.
This is a huge trend since making a bad hire can cost companies an average of $17,000, according to Business News Daily.
In a study by Resume Builder, 24% of the companies surveyed said they use AI for the entire interview process. That’s expected to increase to 29% by the end of 2025. It’s interesting to note that while 67% of companies agree that relying heavily on AI tools can introduce bias in the hiring process, companies seem to be forging ahead, with 79% of them saying AI will soon be capable of making hiring and firing decisions.
But before that can happen, companies need to build trust. Being transparent about how decisions are made, conducting regular audits, ensuring ethical practices, and having a human touchpoint to address candidate concerns can all go a long way in boosting confidence in AI-driven hiring systems.
Generative AI promises to help connect the dots between employee and customer experience, improving employee wellbeing, the customer journey, and ultimately, a company's bottom line.
There’s a noticeable shift happening in professional services. We’re seeing more companies moving toward more flexible workforce models by adopting “gig economy” practices and using contingent workers to fulfill project-based requirements.
By hiring workers on a short-time contract or project basis, firms can easily scale their teams up or down as needed.
This trend can benefit workers as well. Workers tend to name “job security” as a motivation for pursuing or accepting full-time roles, yet 65% of independent workers feel more secure working independently than in a traditional full-time position.
We’ve seen certain industries leveraging contingent workers for a while now, and they’re a particularly good fit for professional services, which relies on specialized talent to serve clients.
2025’s professional service trends share a common focus on workforce productivity and development. After all, expertise is the core value proposition in professional services, so having the right talent and skills is essential.
Meeting their growth goals depends on finding and keeping the right talent. As they implement technologies like AI to help with workforce recruiting, training, and management, they can’t lose sight of the humans that are at the heart of their business.