Applying the Four Pillars of AXD Readiness to banking, insurance, and wealth management. Preparing financial services for machine customers..
| Dimension | Traditional UX | Agentic Experience Design (AXD) |
|---|---|---|
| Primary material | Attention and affordance | Trust and delegation |
| User state | Present, navigating | Absent, delegating |
| Design output | Screens and interfaces | Outcomes and constraints |
| Temporal model | Session-based | Relationship-based |
| Success metric | Task completion | Trust calibration |
Financial services readiness for agentic AI varies significantly across the sector. Most institutions have invested in AI for analytics and automation but few have designed for autonomous agent-customer interactions. The key gaps are in agent identity verification, delegated transaction authority, real-time consent management, and regulatory frameworks for machine-initiated financial decisions.
Financial services should prioritise: Know Your Agent (KYA) frameworks for agent identity verification, real-time delegation verification for transaction authorisation, agent-readable product information for machine customers, and trust architecture that enables graduated autonomy. The institutions that build this infrastructure first will have a significant competitive advantage in the agentic economy.
Financial services readiness for agentic AI varies significantly across the sector. Most institutions have invested in AI for analytics and automation but few have designed for autonomous agent-customer interactions. The key gaps are in agent identity verification, delegated transaction authority, real-time consent management, and regulatory frameworks for machine-initiated financial decisions.
Financial services should prioritise: Know Your Agent (KYA) frameworks for agent identity verification, real-time delegation verification for transaction authorisation, agent-readable product information for machine customers, and trust architecture that enables graduated autonomy. The institutions that build this infrastructure first will have a significant competitive advantage in the agentic economy.
In February 2026, Deloitte UK published a note that sent tremors through the City of London. Several wealth management firms saw their share prices drop sharply - not because of poor earnings, not because of regulatory action, but because of a single AI product launch. Altruist's "Hazel" planning engine and Insurify's AI-powered comparison platform had demonstrated, in concrete terms, what the financial services industry had been theorising about for years: that autonomous agents could disintermediate the advisory relationship. The market's reaction was not to the products themselves - which were early-stage and limited in scope - but to the structural vulnerability they exposed. If an AI agent can scan every insurance policy on the market in seconds, parse the fine print that human brokers skim, and match coverage to a client's specific risk profile with actuarial precision, then what exactly is the broker's value proposition? The answer, as this essay will argue, is that the broker's value proposition depends entirely on whether the institutions they represent have achieved The numbers tell a story of acceleration that should alarm every financial services executive who has not yet begun their AXD readiness journey. Robo-advisory assets under management grew from $97.54 billion in 2020 to a projected $2.06 trillion by 2025 - a twenty-fold increase in five years. The World Economic Forum projects that by 2027, AI-driven investment tools will become the primary source of advice for retail investors, with usage reaching eighty per cent by 2028. McKinsey's December 2025 analysis found that eighty-five per cent of frontline bankers are already using AI in some form, and that agentic AI could lift relationship manager productivity by three to fifteen per cent in revenue while reducing cost-to-serve by twenty to forty per cent. For financial services, this external shift is uniquely consequential because financial products are among the most complex, most regulated, and