Agentic transformation in Retail, Consumer and Media

In high-volume, reversible-decision workflows: merchandising and demand signals, supply chain exception handling, customer service triage with human resolution, and content production at volume. These have short feedback loops, contained risk, and produce measurable results inside a single trading cycle.

Yes. The unfair commercial practices rules apply to the trader, not to the author, so a misleading description is a misleading description whether a copywriter or a model produced it. The rules in the Digital Markets, Competition and Consumers Act apply to practices from 6 April 2025, and the CMA can now decide for itself that they have been broken rather than going to court first, with penalties of up to 10% of global turnover and the power to direct redress. The practical design response is to ground every factual claim about a product in a field in a system of record, and to hold anything the model asserts that cannot be matched to one. The same logic covers price display, where mandatory fees have to appear in the total up front, and reviews, where presenting incentivised reviews as genuine is a banned practice.

Almost always, and more importantly you need it more than once. A DPIA is required where processing is likely to result in high risk, which covers most personalisation, profiling and large-scale use of customer data. The failure we see is not a missing DPIA, it is a DPIA completed for a narrow pilot and never revisited when the agent's autonomy widened, which is the change that altered the risk. Two other things tend to get missed: a retrieval corpus needs its own retention and deletion behaviour, because honouring a deletion request in the database and not in the index is not honouring it, and a decision with significant effect on a person needs a real route to human intervention and to contest the outcome. Tenhaw is not your DPO and does not give legal advice here.

It depends on the tool's terms, the licences behind its training data and the warranties you were able to negotiate, and UK law still has no broad commercial text-and-data-mining exception to fall back on: the government's copyright and AI report of 18 March 2026 dropped a broad exception with an opt-out as its preferred approach and said it would gather further evidence instead. The engineering answer is more useful than the legal one: record provenance at the moment of generation, which tool, which version, which inputs, which licence, and keep it with the asset. Most rights problems in media are discovered eighteen months later, and the difference between an hour of work and a month of work is whether anyone can say where the asset came from.

By treating the change freeze as a design constraint from the start. Delivery is sequenced so that pilots ship and stabilise before freeze, the freeze period is used for adoption, measurement and operating-model work that requires no deployment, and the next build window is planned against the trading calendar rather than a generic quarterly plan.

Almost everything. Head office knowledge workers adopt tools that make their own work easier and have discretion over how they work. Frontline staff work to fixed processes, often on shared devices, with little discretion and immediate customer pressure. The two require separate adoption designs, separate measurement, and usually separate sequencing.