A Fifth Consulting Model Is Being Assembled

Summary: Ode with Anthropic points to a fifth consulting model, one assembled from frontier models, investment capital, client access and embedded delivery. The integration is a genuine advantage. However, the unresolved questions are independence, and who ends up owning the client’s workflow.

The fifth consulting model will not be built like a consulting firm. It will be assembled.

Writing in Forbes, John Werner calls it a whole new kind of consulting. He is describing Ode with Anthropic, launched in July by Anthropic, Blackstone and Hellman & Friedman to put Claude into the core operations of mid-sized businesses. Goldman Sachs, General Atlantic, Leonard Green, Apollo, GIC and Sequoia sit in the consortium behind it.

Anthropic trailed the venture in May, and I wrote then that it was really about private equity internalising transformation. What has changed is that it now has a name, a CEO, a CTO and an engineering core: the Fractional AI team, acquired in May, whose founders run it. It is a $1.5bn joint venture with around 100 engineers, and its chief executive already says he can imagine a trillion-dollar company if it executes.

Capital, technology and delivery can now be assembled into a consulting competitor faster than a partnership can be grown.

A Firm Assembled, Not Built

Traditional firms were built over decades. They accumulated intellectual capital, trained generations of consultants, developed senior relationships and converted individual credibility into institutional trust.

Ode begins somewhere else. Anthropic provides the technology and the applied AI expertise. Its investment partners provide capital, networks and access to companies where solutions can be tested and replicated. The acquired engineering team provides an operating core from day one.

Each piece solves a different part of the growth problem. Technology without implementation cannot change operations. Engineering without client access cannot scale. Capital without specialist capability cannot differentiate.

As a result, Ode never has to reproduce a traditional partnership before competing for transformation work. That is the first shift, and it rhymes with what capital is already doing to the partnership inside established firms.

Implementation Is Now the Bottleneck

The first phase of enterprise AI ran on access. Companies bought licences, launched pilots and asked teams to find use cases. Activity grew faster than measurable value.

Model capability no longer sets the constraint. Instead, the work is deciding which workflows matter, redesigning them around the technology, wiring new systems into old ones and persuading people to use them.

Nobody can drop AI into a company as if it were software. It touches decisions, controls, data, incentives and roles, so every implementation question soon becomes an operating-model question.

Ode is designed around exactly that. Its own framing is “frontier AI, meets reality”: small teams alongside clients, finding the high-value opportunities and building the systems. Its chief technologist puts the point more bluntly — model selection matters, but it is not where most of the calories go.

In practice, the client contributes the knowledge of how the business actually works. Ode contributes the engineering to turn that into working applications.

Which confirms what firms already knew about what clients pay a premium for. Rarely information alone. Confidence, execution, and change that survives contact with the organisation.

Why This Counts as a Fifth Consulting Model

The market is already fragmenting into four models competing on different things: scale integrators, strategy brands, execution specialists and talent networks.

Ode fits none of them. The fifth consulting model has a shape of its own: the ecosystem-assembled firm.

Its proposition comes from combining a model provider, investment partners, experienced operators and embedded technical delivery. The ecosystem is not supporting the consultancy. The ecosystem is the consultancy.

If it works, others will follow. Cloud providers, software companies, private equity firms and specialist operators all hold pieces of the same puzzle, and none of them need a partnership deed to begin.

So the competitive set keeps widening: not only other advisers, but ecosystems that treat services as a route to adoption, recurring revenue and control of the client workflow.

Integration Is the Advantage

Anthropic can connect model development to real operating problems. Investors can accelerate adoption across portfolio companies that would otherwise lack the resources to deploy frontier AI. Engineers get subject-matter experts and workflows where the technology produces tangible value.

The learning loop is the part to watch. A successful implementation in one healthcare, manufacturing or financial-services business improves the next. The technology gets better at practical problems while delivery gets more repeatable.

That turns consulting into more than a fee-earning service. It becomes a distribution channel for Claude, a value-creation mechanism for investors and a way to deepen relationships with operating companies. It is the logic behind software-shaped delivery models, taken to its conclusion.

Traditional firms hold similar ingredients, but dispersed across alliances, practices and geographies. Strategy defines the ambition, technologists build, implementation teams deliver, and the client experiences the gaps between them.

By contrast, a firm assembled from the start can design those handovers out.

Independence Becomes the Scarce Asset

That same integration also creates Ode’s central tension.

A consultancy built around one technology ecosystem may be exceptionally good at implementing that technology. It is less obvious that it can be neutral about whether the client should use it at all.

That does not make the advice poor. After all, every firm has alliances that shape what it recommends. Anthropic’s partner network already includes Accenture, Deloitte and PwC, and the Accenture Anthropic Business Group alone has around 30,000 people trained on Claude. Complete neutrality was always more complicated than firms suggested.

But the question becomes more visible when the model provider, the implementation capability and the financial backers sit inside a single ecosystem. Is the objective the best answer for the client, or the best problem for Claude to solve?

That is an opening for everybody else. Independent firms can compare technologies, challenge the premise of an investment, and tell a client that automation is unnecessary, premature or pointed at the wrong problem. As implementation gets more integrated, that freedom gains commercial value.

Independence without delivery is commentary. Delivery without independence risks becoming distribution.Ben Appleton, Strat-Bridge

The firms that have kept genuine independence should make far more of it than they do.

Capability or Dependency?

Meanwhile, the second tension sits inside the client.

Ode is aimed at organisations that lack the internal resources to build and run frontier AI deployments. Anthropic’s own framing names community banks, mid-sized manufacturers and regional health systems. Embedded engineers close that gap quickly. Speed is not the measure of success.

So the real question is what remains when the external team leaves. Can the client govern, improve and challenge the system? Does it know where the model fails, which decisions need human oversight and who owns each outcome?

Or, alternatively, has it parked important workflows inside an ecosystem it cannot easily replace?

The best implementation partners build capability as well as systems: they involve the people closest to the work, transfer knowledge and leave governance behind. That is harder than delivering the application, and it sits awkwardly against the attraction of recurring revenue.

So judge AI implementation on two outcomes: measurable operational value, and increased institutional capability. A deployment that produces short-term efficiency while weakening a client’s control of its own operations is not transformation. It is outsourcing with better technology.

The Leaders a Fifth Consulting Model Needs

Engineers are essential. Even so, technical expertise alone will not produce transformation-level impact. Someone still has to frame the problem, understand the economics, navigate the organisation and decide which changes are worth making.

The scarce profile connects technology, commercial priorities, sector context and implementation. Enough technical understanding to challenge engineers, enough business judgement to challenge clients, and enough credibility to mobilise both.

Therefore it is not a Chief Technology Officer role, and not a conventional Partner role, and already the hardest brief we fill. It is closer to the hybrid professional profile — product leadership, advisory work, operating experience and commercial ownership in one person.

Consequently, established firms need the same profile. Adding AI specialists to an unchanged partnership will not be enough; they need senior leaders who can run smaller mixed teams and stay accountable from the first strategic choice through to implementation.

Talent will judge platforms differently too. The strongest people ask what they can build, which technology they can reach, how close they sit to client outcomes, and whether their judgement remains their own. Capability without freedom, or freedom without capability, will not attract them.

What the Fifth Consulting Model Has to Prove

Established firms should not respond by trying to become Ode. Their advantages are real: trust, sector knowledge, organisational judgement, technology choice and senior relationships. The task is to connect those directly to engineering and implementation, and to decide where they need proprietary capability, where partnership is enough, and where neutrality matters more than ownership.

Naturally, the commercial model follows. Because AI compresses delivery effort, fees built on large teams get harder to defend, which is why it pays to watch how firms actually get paid rather than what they say about AI.

In the end, consulting firms will not become technology companies, and technology companies will not replace consultants. The two worlds are colliding, and advantage will sit with whoever combines them without losing the independence that makes advice worth buying. Ode’s integration may prove its greatest strength. Whether it can preserve client choice, build lasting capability inside clients and avoid turning advice into distribution will decide whether it is a genuinely new consulting model, or a more sophisticated route to technology adoption.

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.