Is Client Consulting Capability Moving In-House?

Summary: Client capability is moving back in-house, as AI gives companies the tools to rebuild internal skills, buy directly from technology providers and challenge the economics of implementation. The firms that survive will sell judgement and accountability rather than dependency.

AI is reversing two decades of client dependency built through outsourcing.

The debate has largely focused on whether consulting firms can use AI to deliver the same work with fewer people. That matters, but it misses the larger shift. The real story is client capability. Which work do companies still need to buy? Which skills should sit inside the organisation? And does a consultancy still add enough value between a technology provider and a business outcome?

Recent Financial Times reporting makes that pressure visible. Businesses across Europe and the United States described cutting fees and moving work in-house, often dealing directly with the technology vendor instead.

The satisfaction data is worse than the spend data. Only one in three clients call an externally run IT transformation wholly successful, according to the analysts at Source Global. The proportion planning to use the Big Four more over the next year has fallen from 80 per cent to 55 per cent.

Consulting is not disappearing. Technology consulting spend is still forecast to grow 8 per cent to $420bn this year. Yet implementation, worth $236bn, is the industry’s economic engine, and it is exactly where clients now see the greatest chance to cut cost and regain control.

This is not simply fee pressure. It is a redrawing of the boundary between client and consultant, which is one reason no single future operating model is emerging for the industry.

The question clients ask now is not what a consultancy costs. It is which parts of it they still need to buy.

How AI Rebuilds Client Capability

Outsourcing and offshoring gave companies scale, specialist skills and lower delivery costs. They also thinned internal knowledge. External teams built and ran the systems. The understanding of how those systems connected to operations, decisions and risk left when the engagement ended.

AI changes that calculation. Smaller internal teams can increasingly handle coding, testing, monitoring, research and system analysis. The tools remove the need for a large external workforce.

At Commerzbank, external vendors once spent months analysing legacy source code and log files. AI now does that work in days. At Bayer, 30 AI agents already support coding and testing inside a six-year SAP overhaul, with the stated aim of deploying with significantly fewer consultants.

The platform vendors are pushing the same way. SAP’s own AI roadmap claims planned changes will cut the cost of external implementation consultants by up to half, either by letting firms bill fewer hours or by letting buyers proceed without advisers. Capgemini’s chief executive laughed at that number, but conceded he has redesigned how his teams deploy SAP to make it cheaper and faster.

The immediate benefit to the client is lower cost. The more important benefit is client capability that stays once the programme ends.

Implementation Is Being Unbundled

Consultancies have traditionally occupied the space between enterprise technology and the client organisation. They selected platforms, configured systems, integrated old and new infrastructure and supplied extra capacity. Complexity made that intermediary role valuable and hard to bypass.

That protection is fading. Technology providers are building more intelligence, automation and implementation support into the product itself. Clients can go straight to SAP, Palantir or AWS and combine those tools with business leaders who understand the organisation better than an external generalist team ever will.

SharkNinja is the clearest example. The appliance maker ran an eight-week promotions and media analysis on Palantir technology, deployed AI demand forecasting, and has AWS building a media analytics tool. Its chief executive says pairing technology partners with his own hands-on leaders has worked better than a third-party consultant who does not know the business.

The model is therefore being unbundled. Clients can buy technology from one provider, expertise from another and capacity through a talent network. They keep orchestration internally, or bring in one senior adviser for the decisions that carry real risk. Buying an entire consulting pyramid is no longer the automatic answer when client capability can cover the middle of it.

That explains the apparent contradiction in the market. Revenue keeps growing while established delivery models come under pressure. New spending on AI advisory, cyber security and change management offsets falling demand for manual integration and monitoring. It is the same dynamic visible in the economics of agent-based delivery. Growth at market level does not mean the value stays with the same firms.

The middle of the market is most exposed. Firms must move up towards judgement and consequential decisions, or deeper into delivery with proprietary assets and measurable responsibility. Being large and repeatable is no longer a differentiator.

Why Client Capability Is Worth More Than the Saving

When internal teams build, test and supervise new systems, they develop knowledge that compounds. They learn where the data sits, which decisions need human oversight, and how the technology behaves against operational reality. That is an asset, not a line in an external services budget.

Commerzbank puts it bluntly. It has often found that consultants learn more from the bank than the bank learns from them, so doing more in-house keeps the edge inside the building.

This matters because nobody can install AI and leave it to run. It touches data, controls, workflows, incentives and people. Advisers can bring expertise and acceleration, but not the institutional understanding needed to operate those systems responsibly.

A business that outsources understanding saves effort today and preserves dependency tomorrow.Ben Appleton, Strat-Bridge

The strongest consulting proposition is therefore not permanent substitution for the client’s own people. It is acceleration, challenge and selective expertise that leave the organisation better able to operate on its own. That is where advisers still earn the fee, and it is a narrower, sharper claim than the one most firms make today.

This is commercially uncomfortable. A model that strengthens the client may reduce future support revenue. But clients are already making that choice for themselves, as the move to internalise transformation shows. Firms can shape the transition, or defend a dependency that technology is dismantling anyway.

The Economics Have to Change

If AI reduces delivery effort, the commercial model cannot stay the same.

Hourly billing and leverage made sense when complex work needed large teams and long programmes. They are harder to defend when a client can watch coding, testing and analysis complete in a fraction of the time.

Bristol Myers Squibb is already pressing advisers to lower costs or switch to fixed-price and performance-related contracts. Its chief digital and technology officer says the cost of managed services is collapsing, and that cyber monitoring contracts are going away as AI absorbs the work. His position is reasonable: firms can keep some of the productivity gain, provided the client shares the upside and the downside.

That moves the conversation from activity to risk. Outcome-based deals demand clarity on what success is and what the consultancy controls. Shared gain forces firms to quantify value instead of defending headcount, which is why it pays to watch how firms get paid rather than what they say about AI. It is the logical end of the pressure to own the outcome, not just define it.

Partner Incentives Are the Real Blocker

The change reaches Partner incentives, and this is where most firms will stall.

Many partnerships still reward origination, account growth and annual revenue expansion. One client interviewed by the FT complained that firms structurally incentivise partners to sell more each year at higher prices. That client has pushed for a change of team on the account to reset the relationship.

A Partner who sells a smaller team, transfers capability and reduces the client’s future dependency may create more value while generating less immediate revenue. Contribution systems have to recognise delivered outcomes, intellectual property and client capability. Otherwise firms keep rewarding exactly the behaviour buyers now resist.

This is not a compensation detail. It decides whether the strategy on the slide ever reaches the client, and it is one reason expertise is becoming power inside partnerships.

What This Means for Senior Hiring

Senior hiring has to reflect the same shift. The leaders firms need are not simply those who can open an account and add headcount.

They have to understand how technology changes process economics and decide what belongs inside the client. They also have to orchestrate vendors and specialists, price implementation risk and stay accountable when delivery gets hard. That is a materially different profile from the one most partner scorecards look for.

Hiring another Partner should therefore do more than add revenue capacity. It should sharpen the firm’s answer to a more demanding client question: why should we buy this from you rather than build it ourselves or source it directly? That is the question we now test for on every senior consulting brief.

Client Capability Will Decide Who Survives

AI will not end consulting. It will make weak intermediation, unnecessary leverage and unearned dependency harder to sustain. Firms that provide judgement, acceleration and accountability, and that leave client capability behind them, will remain valuable. Those relying on complexity to protect their fees will meet increasingly capable clients with more options and less patience.

The strongest consultants may have to prove their value by making clients less dependent on them. The defining question is whether consulting firms are prepared to reward the leaders who do it.

Strat-Bridge is a retained executive search firm placing Partner & Director-level leaders into strategy and management consulting firms across Europe.

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Ben Appleton

Ben Appleton is the founder of Strat-Bridge, a specialist executive search partner to the management consulting industry. He works with global consulting firms and senior leaders across the UK, Germany, Switzerland, and beyond — helping them build capability at the Partner and Director level.

Connect with Ben on LinkedIn or email ben@strat-bridge.com.