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AI and professional services firms: moving from technological potential to economic impact
Resource management

AI and professional services firms: moving from technological potential to economic impact

Julie Sergent
Content Manager
June 30, 2026
4 min

Introduction

In 2026, AI is no longer merely an area of experimentation for professional services firms. After a phase shaped by proofs of concept, testing and tool adoption, the challenge is now to turn this technological potential into measurable economic impact.

For consulting firms, audit firms and IT services companies, AI is becoming a performance lever in its own right: productivity gains, changes to pricing, transformation of delivery models and the development of new offerings.

This shift also brings a higher level of expectation. AI does not create value simply through adoption. It must be managed through the lens of value, integrated into business processes and linked to concrete ROI indicators.

A) Steering AI by value: moving beyond experimentation

In 2026, consulting firms, audit firms and IT services companies must now demonstrate tangible economic impact.

The challenge is no longer to test the technology, but to understand what it really changes in processes, delivery and organisational performance.

“Client companies do not simply need AI; they need the right use cases. Value does not lie in the technology itself, but in its application where it truly makes a difference.” — Michael Gomolka, Partner, Wavestone

This shift means managing AI as a strategic investment. Executive teams expect tangible indicators: adoption rates, productivity gains, improvements in delivery quality, or contribution to margin.

According to the Napta 2026 report, professional services firms face similar pressures, but they do not all reach the same growth milestones at the same time. This is what the report describes as the “Popcorn Effect”: a dynamic in which companies evolve under the same constraints, but follow very different trajectories and timelines when scaling up.

Three profiles stand out:

  • The pioneers, for whom AI is already an integrated infrastructure.
  • The tacticians, who deploy AI in silos, with a gap between strategic ambition and on-the-ground adoption.
  • The cautious, held back by regulation, internal culture or the fear of transforming their model too deeply.

In 2026, AI maturity is therefore not measured by the number of tools deployed, but by an organisation’s ability to prioritise the use cases that truly create value.

Source: Napta 2026 Report https://www.napta.io/en/2026-professional-services-european-trends
Source: Napta Survey, 2026

The priorities are clear: support internal adoption, measure the real ROI of AI and scale the use of autonomous agents.

For professional services firms, the challenge is no longer simply to adopt AI, but to integrate it into the right processes, with the right indicators and the right use cases.

B) Rethinking the business model: how AI is reshaping pricing

Artificial intelligence is not only transforming how assignments are delivered. It is also calling into question the business model of professional services firms.

Historically, billing has largely been based on time spent, days sold and resources mobilised. But if AI makes it possible to deliver faster, this model becomes more fragile.

The risk is clear: accelerating delivery without succeeding in preserving the value captured.

For consulting firms, audit firms and IT services companies, the challenge is therefore to shift where value lies. Price can no longer be justified solely by the human effort mobilised. It must increasingly reflect the impact created, the quality of execution and the responsibility carried by the firm.

This evolution is pushing professional services firms towards more hybrid pricing models:

  • fixed fees,
  • variable pricing indexed to impact,
  • success fees,
  • pricing based on the value created.

In 2026, what justifies the price of an assignment is evolving around three dimensions:

  • Security: processing proprietary data within a controlled framework.
  • Time-to-Value: accelerating the journey from diagnosis to results.
  • Augmented expertise: combining AI, business expertise and human accountability.
“To create real value, we need to combine sector expertise, process expertise and technological know-how through a smart mix of senior and junior consultants supported by AI.” — Recardo Jackson, Executive Vice-President and Managing Director, MSG Group

AI is also becoming a lever for business development. According to the Napta 2026 report, 33% of European leaders say that AI has enabled the development of new offerings or services within their organisation.

Meanwhile, 68% of respondents report productivity gains across teams. However, only 16% observe a direct impact on margin, and nearly one in five respondents say they cannot identify any measurable impact at this stage.

For professional services firms, AI opens up a new cycle of growth, provided they know how to value what it truly enables: greater speed, greater impact and a stronger ability to support client transformations.

C) Transforming service delivery through AI

For professional services firms, the challenge is now to integrate AI into business processes, existing systems and delivery models.

But this industrialisation can only work if the foundations are solid: reliable data, clarified processes, appropriate governance and trained teams.

“To deploy AI successfully, organisations need the right structure in place. The issue is not limited to tools: it is about integrating technology into business processes and training teams to use it.” — Patrick Oelze, Partner, Grant Thornton

AI is gradually becoming an integrated component of delivery. It can play a role in analysis, production, testing, documentation, maintenance and decision support.

This evolution makes it possible to:

  • standardise certain tasks,
  • make quality more consistent,
  • reduce production lead times,
  • improve traceability,
  • accelerate time-to-value for clients.

This expectation is also becoming a market criterion: 32% of European leaders say that clients of professional services firms now consider AI an expected prerequisite in the delivery of assignments. (Source: Napta Survey, 2026)

However, the industrialisation of delivery does not mean the disappearance of human expertise. It transforms its role. Experts increasingly focus on:

  • orchestration,
  • strategic interpretation,
  • validation of results,
  • final responsibility for the assignment.

Performance depends on firms’ ability to combine automation, business expertise and human accountability within a single operating model.

“Technology alone is not enough. Digital and tech are now inseparable from organisational, process and business challenges. If we only address part of the issue, we miss the transformation.” — Bertrand Baret, Managing Director, Onepoint (Source: Consulting Insider, 2025)

Conclusion

In 2026, the challenge is to turn AI into a genuine competitive advantage.

This means moving from isolated uses to structured integration across processes, pricing models and delivery. Firms that are able to link AI to measurable gains, secure its use and mobilise human expertise in the right places will be best positioned to create lasting value.

AI only becomes a strategic lever when it accelerates execution, improves the quality of assignments and strengthens the economic impact delivered to clients.

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