The Programme asks how multi‑agent systems can support strategic decisions whose tensions cannot be resolved by optimisation.
A strategic decision — to enter a market, to restructure an operation, to commit to a long technology bet — is unlike a benchmark task. Its inputs are uncertain; its stakeholders hold legitimate and irreducibly different interests; the question is not which option is correct but which option holds, under the disagreement that defines the problem. Half a century of work in management, strategy, and the philosophy of practical reasoning agrees on this: good strategic decisions preserve the tension that makes them strategic.
Contemporary multi‑agent LLM systems do almost the opposite. They are designed to converge — to debate until a single answer emerges, to aggregate until disagreement is smoothed away. They are evaluated on accuracy, on exact match, on the speed with which they produce a confident conclusion. For tasks whose answers are knowable, this is appropriate. For decisions whose answers are constructed, it is wrong.
The Programme develops dialectical synthesis as a distinct mode of multi‑agent reasoning: role‑conditioned agents produce extreme, internally consistent reframings of a decision; a Leader agent performs synthesis that preserves the irreducible tensions rather than collapsing them; the system produces not the answer but the conditions in which the decision‑maker can arrive at one. Evaluation is held to compute parity: any claim that the multi‑agent system does something a single agent cannot must hold under equal token budgets.
The work is conducted with strategy teams, executive committees, and operating institutions where the consequence of a decision is borne by the people who make it, and where the value of an AI counterpart is measured by what it leaves intact.