Operating model: questions about AI

AnsweredWhich decisions should become slower because of AI?#

Answered 2 September 2026, with the two things the question needs: a controlled experiment in which deliberate friction cut overreliance and was disliked for it, and one category where a regulator has already written a two-person check into law. Four cumulative conditions decide which decisions qualify, and Kahneman and Klein decide which to leave fast.

AnsweredWhat happens to functions whose purpose was moving information around?#

Answered 3 September 2026, and the answer is that both happen and the org chart cannot tell them apart. Garicano's knowledge hierarchy predicts the layer thinning as knowledge gets cheap; Ewens and Giroud find firms flattening after AI adoption on tests they themselves call under-powered. The page supplies four questions that separate a conduit from a function carrying judgement, and states what the reporting job was doing that the report never showed.

AnsweredHow do humans and agents divide work across a whole process?#

Answered by changing the unit. Dekker and Woods established in 2002 that allocating tasks does not deliver coordination, because each assignment manufactures new work for the other party. The boundary evidence exists in clinical handover and accident investigation rather than in AI research: gaps as discontinuities in care, a nine-site handoff trial that cut errors 23 per cent without adding a minute, and an NTSB finding that nobody in the cockpit noticed the mode change that handed them the aircraft. Four questions per join. What remains open is measurement: the best multi-agent failure data has no humans in it.

AnsweredWhen agents become part of the workforce, who manages them?#

Answered 2 September 2026. A named person with the competence to evaluate the work, the authority to suspend it, and a record of both, which is what Article 26(2) already requires for systems in scope. The page also states the gap underneath: the FAccT visibility paper says nobody has a method for telling when an agent has created a sub-agent.

Better answered elsewhere Concrete control mechanics: identity, role, permissions, audit records and limits on autonomous action. · AI agent governance for workforce use

AnsweredShould AI agents appear on an organisation chart?#

Answered 2 September 2026. Yes, because an org chart records accountability rather than sentience or employment, and leaving an agent off removes the record and not the accountability. Three consequences follow: a named owner rather than a sponsoring committee, a scope statement checkable against behaviour, and sampled review on a person's cycle.

PartialWhat work should humans do in an AI-native organisation?#

Partly answered on principle: the deciding, the unverifiable, and the work where being the author is the point. What is not answered is how that principle turns into an operating model with roles and headcount rather than a philosophy.

PartialHow should decisions move through an AI-enabled organisation?#

Partly. Bloom, Garicano, Sadun and Van Reenen give the mechanism that decides it: information technology decentralises and communication technology centralises, and generative AI is both in one interface, so the routing is being set by which use dominates rather than by anyone's decision. What is still open is the prescriptive half, and nobody has published a defensible target design.

PartialWhich decisions should become faster because of AI?#

Partly answered, as the mirror of the page that was written. Kahneman and Klein's two conditions, a predictable environment and the opportunity to learn its regularities, give the test for which decisions can safely be compressed. The page is written to the reverse question, so this side of it gets the criteria rather than a worked treatment.

PartialWhat happens to organisational layers when information no longer travels through managers?#

Partly answered, with the limit stated: this research holds no direct measurement of what AI does to management layers. The reasoning is that the information-routing function is the automatable one and developing people is not, so removing the layer for the first reason also removes the second.

PartialWho owns the performance of an AI agent?#

Partly answered on responsibility for mistakes. Performance is the broader case: not who is blamed when it fails, but who is answerable for whether it is any good, who reviews that, and on what cycle.

PartialCan an AI agent have delegated authority?#

Partly answered at personal scale. The organisational version runs into a real legal distinction: authority is delegated to persons, and an agent acts under someone's authority rather than holding its own. Whether that survives contact with agents acting at volume is not settled.

PartialHow should organisations govern AI decisions?#

Start with who may override, on what grounds, and whether that person could detect the error. Most frameworks start with the technology instead.

PartialWhat decisions should remain human-led?#

The ones where the consequence lands on a person and somebody must answer for it, and the ones nobody could audit afterwards.

PartialHow do we make AI decisions transparent?#

Transparency and explanation are not evidence that the answer is right, and NIST separates the two by name. A system can explain a wrong answer fluently and the reader cannot tell from the explanation.

PartialHow can we combine AI and human decision-making?#

Specify the division of labour, the human entry point and the override grounds before deployment rather than after the first failure.

OpenWhat does an AI-native operating model look like?#

Open, and currently answered mostly by people selling one. The term is used for three different things: a technology architecture, a way of arranging work, and a culture. Worth insisting on which is meant before agreeing that a company needs one.

OpenWhat happens when an employee manages more agents than people?#

Open, and worth asking because the job is then supervision of work the person may not be able to do. That is the research's central concern arriving through the operating model rather than through the individual.

OpenHow should human and digital labour be budgeted differently?#

Open. One is headcount, hired slowly, hard to reverse and carrying obligations. The other is consumption, scaling instantly and cancellable. Organisations currently run them through different approval routes with different scrutiny, which biases every build-or-hire decision.

OpenHow accurate are AI decisions?#

Open, and the number is the wrong thing to ask for. Accuracy on the average case says nothing about how the errors are distributed.