Professional Services Firms Redesign Around AI, Not Just Productivity

Consulting and professional services organizations are fundamentally rethinking their delivery models as artificial intelligence takes on repetitive work, with the focus shifting to human expertise, reliable results and new ways of operating. The shift goes beyond speeding up existing processes—firms are redesigning how value gets created for clients. According to Matt Cook, partner and consulting software sector lead at PwC U.K., and Prasad Narasimhan Sulur, chief business officer of Certinia Inc., this transformation is reshaping project structures, knowledge management and how success is measured.

Rethinking workflows, not just adding tools

The distance between AI adoption and actual financial gains remains wide. PwC's 29th Global CEO Survey revealed that only 12% of chief executives saw both revenue growth and cost reductions from AI, while 56% saw no meaningful financial benefits. This gap reflects a fundamental misunderstanding: deploying AI as a standalone productivity tool does not drive business results the way integrating it into core operations does, Cook explained.

The firms that win will be the ones that can turn AI into repeatable, measurable outcomes, not the ones with the most tools.

Matt Cook, PwC U.K.

For professional services, this distinction matters enormously. Completing individual tasks faster does not guarantee faster overall project delivery. Sulur illustrated this with software development: AI-assisted coding may compress development time, but testing, integration and release phases still create bottlenecks. Meaningful progress requires redesigning the entire workflow, not automating isolated steps. The same applies to consulting work, where AI could compress research and analysis from months to weeks, but only if the full engagement is restructured around that capability.

Sulur stressed that successful transformation requires both leadership direction and employee capability. Executives must set clear strategic intent, while staff must build the skills to deploy AI effectively and spot where processes can be improved.

The combination of the top-down mandate and what I call the bottom-up proficiency that your organization has is what's going to move the ball forward.

Prasad Narasimhan Sulur, Certinia Inc.

Trust, governance and the role of human judgment

As AI takes on higher-stakes decisions, trustworthiness and accountability become critical. AI-generated recommendations can look plausible while containing errors that demand extensive human review, potentially erasing the productivity gains they promised. For professional services, building trust requires more than improving model accuracy. Organizations must create systems that supply proper business context, enforce access controls and check outputs against expected outcomes.

Sulur identified workflow orchestration and enterprise data management as two pillars of this architecture. Orchestration helps AI understand project phases, required tasks and prior work. Data systems make organizational knowledge available in the right context. Unstructured data—meeting notes, emails, past project files—holds significant value, but firms must decide what information applies to each task while protecting proprietary material from unauthorized access.

Cook argued that technical systems must support, not replace, professional accountability. "AI can accelerate evidence gathering and scenario development, but it doesn't carry professional accountability," he said. "That remains human."

The rising importance of judgment is reshaping what junior roles demand. PwC research shows that positions exposed to AI increasingly require skills once reserved for senior staff—leadership, decision-making and complex problem-solving. Looking forward, both executives predict professional services firms will allocate more human resources to intricate client work as AI handles repetitive tasks. Organizations investing in trusted systems, institutional knowledge and redesigned delivery models may gain competitive advantage over those chasing individual productivity gains.

When AI can produce more analysis than a human can read, the differentiator's not more content, it's better judgment.

Matt Cook, PwC U.K.

https://www.youtube.com/embed/HgmzzCaBeZQ?feature=oembed

The outcome could be a fundamentally different professional services sector, where technology expands what firms can deliver while human expertise determines the caliber and impact of results for clients.