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How do you preserve capability across vendors?

Outsource execution. Keep enough to specify the work, judge it and replace the supplier.

Last reviewed: 21 September 2026 · Next review due: 21 September 2027

Not a new question. Outsourcing research has dealt with knowledge retention and the danger of outsourcing the capability needed to manage the supplier for thirty-five years.

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Outsource execution where it makes sense, and retain enough internal knowledge to specify the work, evaluate its quality, manage the exceptions and replace the supplier. That sentence is thirty-five years old. It was written about manufacturing, and it transfers to buying an AI capability without needing much alteration.

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Outsource execution where it makes sense and retain enough internal knowledge to specify the work, evaluate its quality, manage exceptions and replace the supplier.

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Which is the useful thing to say about this question. It is not new, and treating it as new is why organisations are repeating a set of mistakes that were documented in detail before most of the people making them were working.

The original warning#

Prahalad and Hamel defined core competence as the collective learning in the organisation, particularly the capacity to coordinate diverse skills and integrate streams of technology. The Core Competence of the Corporation (1990).

Their warning was about what outsourcing does underneath the numbers. Cost advantage can be bought while the competence that made the firm able to compete is hollowed out, and the hollowing is invisible in the accounts because it shows up as savings. Their examples were component supply and manufacturing partnerships in which Western firms progressively surrendered the ability to make things while retaining the ability to brand them.

The transfer to AI is close enough to be uncomfortable. A capability bought as a service arrives with the same accounting signature: cost down, output maintained, internal expertise quietly unexercised.

What has to stay#

Four things, and the list is the same as for any outsourced function.

Enough to specify the work. An organisation that cannot state precisely what it needs will get what the supplier finds convenient to provide.

Enough to judge the output. This decays first and matters most. It is also the loss nobody notices, because approving work is indistinguishable from evaluating it right up until the moment it is not. Who supervises work they cannot do.

Enough to handle the exceptions. The cases outside the supplier's competence come back, and they come back as the hard ones.

Enough to replace the supplier. The capability to switch is what makes every other term in the relationship negotiable. It is also expensive to hold and worthless until needed, so it goes first.

The specifically new part#

Three things do differ from the manufacturing case, and they are worth separating from the parts that do not.

The thing being bought changes without notice. A vendor updating the model underneath a workflow changes its behaviour without the buying organisation deciding anything. If the process was tuned around the previous model's failure modes, that tuning silently expires. Worse, the tuning is usually informal and undocumented, because it accumulated as habit rather than as design.

Perrow supplies the frame: this is tight coupling to a component you neither control nor inspect. Normal Accidents (1984). The tighter the coupling, the less warning a change gives before it propagates.

The failures are less visible than a supplier's. A component arriving out of specification is detectable. A plausible wrong answer arrives in the same register as a correct one, which is what makes it undetectable at the point of receipt.

The substitution happens task by task rather than by contract. Nobody signs anything. Work migrates, and the point at which the organisation stopped being able to do it itself has no date.

Agents running core processes#

The question has a sharper form when the vendor's system is executing rather than advising, and the answer does not change much. What has to stay in-house is the ability to tell whether the output is right, to decide the cases outside the system's competence, to intervene with real authority rather than a nominal veto, and to run the process another way if the supplier becomes unavailable.

Weick and Sutcliffe's principle of deference to expertise rather than to rank matters here specifically. Managing the Unexpected. Retained capability sitting in someone without the standing to use it is not retained capability for this purpose.

Whether capability travels has been tested on surgeons and on aircraft#

The four-item list above assumes something that can be checked: that capability is a stock an organisation either holds or has let go. Two measurements say it is stranger than that, and both make the vendor question harder rather than easier.

Robert Huckman and Gary Pisano looked at cardiac surgeons who operate at more than one hospital within narrow periods, and used patient mortality as the outcome. A surgeon's results at a given hospital improved with recent procedure volume at that hospital, and did not improve with volume at other hospitals. Their conclusion is that performance "is not fully portable across hospitals", and their tentative explanation is familiarity with the assets of the particular organisation. Graded entry.

The buyer's version of that finding is unwelcome. Part of what a supplier delivers belongs to the pairing of that supplier with your organisation, and accrues through repetition inside it. Switching suppliers therefore costs more than the contract says, and so does bringing the work back in-house, because the returning team has the general skill and not the specific accumulation.

Benkard's aircraft data gives the same shape from the manufacturing side: experience depreciates over time, and only some of a firm's production experience transfers from one generation of an aircraft to the next. Graded entry. A capability held through one version of a model is not automatically a capability held through the next one.

Which makes the fourth item on the list, enough to replace the supplier, a rate rather than a reserve. It is not a document that can be filed and left. On the only evidence anyone has measured, it survives in proportion to how often it is exercised inside this organisation on this work, and the rates at which unexercised capability disappears are not slow.

Strategy advocacy, and a literature that disagrees with itself#

Prahalad and Hamel argued from cases rather than measurement, and their article is a work of strategy advocacy that became influential partly because it was well written. The outsourcing literature that followed is mixed on outcomes, and firms that outsourced heavily did not uniformly hollow out.

No evidence here establishes that organisations buying AI capabilities lose internal capability, or at what rate. The mechanism is available by analogy and the measurement has not been done.

The two measurements in the section above were made on cardiac surgery and on aircraft assembly, neither of which is a vendor relationship for an AI capability. Huckman and Pisano describe their own asset-familiarity explanation as preliminary, and this page takes their result from the published abstract rather than from the tables, so it carries the direction of the finding and none of its magnitudes.

There is also a real argument on the other side. Retaining the ability to do everything internally is how organisations become slow and expensive, and specialisation exists because it works. The question is which capabilities are load-bearing rather than whether to outsource at all, and this page offers a way of asking rather than a list.

Key sources

On what is being preserved, organisational capability. On testing whether it is still there, the capability audit. On withdrawing a deployment, deployment is not a ratchet. On judging work you can no longer do, who supervises work they cannot do and who owns verification. On agents acting independently, AI agents and human judgement.

About this research#

Rahim Hirji is the author of SuperSkills (Kogan Page, 2026), keynote speaker on AI and human capability, and founder of The SuperSkills Intelligence Company. Core competence is Prahalad and Hamel's and the coupling argument is Perrow's. This page is an application of both rather than a new claim.

How this research works  ·  Reviewed quarterly  ·  Found an error? Tell me and it is corrected on the page.

Evidence review · SS-2026-128 · Graded against the published rubric · 3 peer-reviewed studies

Cite this page

Hirji, R. (2026). How do you preserve capability across vendors?. The SuperSkills evidence base, SS-2026-128. https://thesuperskills.com/research/preserving-capability-across-vendors. Last reviewed 21 September 2026.

An evidence review by Rahim Hirji, not peer-reviewed research. For a material claim, cite the underlying study as well; every study here carries its own permanent link.

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Questions answered on this page

How do you preserve capability when the work is spread across vendors?

Outsource execution where it makes sense and retain enough internal knowledge to specify the work, evaluate its quality, manage exceptions and replace the supplier. Prahalad and Hamel's 1990 warning was that cost advantage can be bought while the competence that made the firm able to compete is hollowed out underneath, and the structure of that argument transfers to buying an AI capability without alteration.

What happens when a vendor changes the model underneath a workflow?

The workflow's behaviour changes without the organisation deciding anything. If the process was tuned to the previous model's failure modes, that tuning silently expires. This is a coupling problem in Perrow's sense: the organisation is tightly coupled to a component it does not control and cannot inspect, and the tighter the coupling the less warning it gets.

What capability has to stay in-house when agents run core processes?

Enough to tell whether the output is right, to decide the cases outside the system's competence, to intervene with authority rather than in name, and to run the process another way if the supplier becomes unavailable. That is the same list as for any outsourced function, with the difference that an agent's failures are less visible than a supplier's.

Is this actually a new problem?

No, and treating it as new is why organisations repeat mistakes the outsourcing literature documented decades ago. The core competence argument, the knowledge-retention problem and the danger of losing the ability to manage your own supplier are all thirty-five years old. What AI adds is speed, opacity, and a vendor relationship in which the thing being bought changes without notice.

Is the capability to replace a supplier something you can hold in reserve?

The evidence says it behaves more like a rate of practice than a reserve. Huckman and Pisano found that a cardiac surgeon's results improved with recent procedure volume at a given hospital and not with volume at other hospitals, concluding that performance is not fully portable across organisations. Benkard found that production experience depreciates and that only part of it transfers from one generation of an aircraft to the next. Both point the same way for a buyer: the ability to specify, judge and replace survives in proportion to how often it is exercised on this work inside this organisation, so a documented exit plan that nobody has practised is not retained capability.

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