The risk mapped forward
Where your AI use is most likely to become a claim or an inquiry.
A forward read of where an organisation's use of AI is most likely to turn into a dispute or a regulator file, and how each would be defended.
The conflict-mapping method the firm applies to any decision applies just as well to AI: take an organisation's use of AI and read it forward to where it is most likely to become a claim or an enforcement file. The deliverable is a map of the dispute risk and the defence, produced before the dispute lands. It is advisory and disputes work, confined to AI use, exposure, disputes, and regulation.
The firm maps the AI use the way it maps any conflict: forward from today to where the dispute would come from, with the claim, the defence, and the realistic exposure for each. It focuses only on AI use, exposure, disputes, and regulation, and stays clear of the commercial and transactional side. It delivers a written readiness read, so the organisation can manage the risk while there is still time.
Where your AI use is most likely to become a claim or an inquiry.
The likely claim types, how each would be defended, and the exposure.
A written map you use to manage the risk before it crystallises.
An organisation using AI across its operations asks where that use is most likely to become a dispute. The firm maps the AI use forward to the most likely claim types, sets out how each would be defended and the realistic exposure, and delivers a written readiness read the organisation uses to manage the risk before it crystallises.
Described in abbreviated, anonymised form to preserve client confidentiality.
Most often in harm from what a tool produces, discrimination in automated decisions, privacy and data exposure under the Protection of Privacy Law, and regulatory inquiry; a readiness read maps which of these the specific AI use exposes.
By mapping the AI use forward to the likely claim types and regulator interest, identifying the records and chain of responsibility a dispute would turn on, and managing the exposure before it crystallises.
A forward read of where an organisation's AI use is most likely to become a dispute or an enforcement file, with the claim types, the defences, and the realistic exposure mapped in advance, confined to use, exposure, disputes, and regulation.