InMarketing Today

The People's Bank of China has appointed Deutsche Bank as a renminbi clearing bank for Europe, based in Frankfurt, a role the bank describes as acting as a local bridge to China's payment systems. It covers end-to-end processing, clearing and settlement for cross-border RMB transactions, alongside access to offshore RMB liquidity. Alexander von zur Muehlen, Deutsche Bank's CEO for Asia Pacific, Europe, Middle East and Africa, and Germany, said the appointment reinforces the bank's role as a trusted global clearing partner.

Clearing is plumbing, and nobody buys plumbing from a brochure. What Deutsche Bank has actually won is a credential: a central bank's public judgement that it can be trusted with a strategically sensitive corridor. That is the rarest asset in institutional financial services marketing, because it is third-party proof you cannot buy, write or test your way into. The temptation will be to announce the capability. The opportunity is to build a China-Europe corridor story around it that competitors cannot copy, because they were not chosen.

Go through your own credentials and separate the ones you bought from the ones you were awarded. Mandates, appointments, regulatory approvals and designations belong at the front of the pitch, not in a capabilities annex. And when one lands, brief the client-facing teams before the press release goes out, not after. The sales conversation is where proof converts.

HSBC Asset Management has invested an undisclosed sum in Model ML, a London-based AI startup, through its flagship venture capital strategy. Patrick Sixsmith, head of venture capital at HSBC AM, said the investment reflects a focus on backing companies at the forefront of AI and next-generation software. It follows a run of moves earlier this year: HSBC appointed its first chief AI officer, opened an AI centre of excellence in Singapore, and struck a multimillion-dollar AI deal with Google Cloud.

Note what HSBC did not buy. Chaz Englader, Model ML's CEO and co-founder, framed the thesis precisely: the differentiator is increasingly the software that orchestrates multiple models across complex financial workflows, not any single model. For anyone marketing an AI proposition into financial services, that is the end of a positioning era. "We use AI" and "we have a model" have decayed into table stakes. The claim that now carries weight is what you have wired together, and which workflow it actually finishes.

Strip the phrase "AI-powered" out of your top three propositions and see what survives. If a claim collapses without it, you are selling a component rather than an outcome. Rebuild each one around a named workflow, the time or error rate it removes, and the person who signs off on the result.

NYU Stern gave 33 students six hours, shared AI tools and a set of New York's hardest problems: grocery affordability, transit equity, bike lane safety, childcare access. Most had no engineering background and had never used the tools. All eight teams shipped a working prototype. Writing in Harvard Business Review, J.P. Eggers, Sarah Ryan and Asha Dinesh report that the teams did not fragment into solo builders. They spent their collective time on defining the problem, and split up only to execute.

The finding that should unsettle marketing leaders is where the bottleneck moved. Coordinating who builds what is no longer the constraint; deciding what is worth building is. The winning teams were not the most technical, they held the widest set of perspectives on the problem. Applied to a marketing function, that is an argument against organising by craft silo and for organising around who actually understands the customer's problem.

Change two things this quarter. Start briefs with problem definition rather than solution brainstorming, and protect that time even when it feels circular, because the authors are blunt that good problem framing looks like going in circles. Then use rough prototypes early to make disagreements visible while they are still cheap to resolve, and judge them on the questions they surface rather than how finished they look.