Dimply: How Financial Services Can Deliver Personalised Journeys in Days, Not Months

Dimply is addressing the bottleneck of legacy data and slow development cycles in financial services with its no-code customer experience platform. By decoupling experience design from engineering backlogs, the firm enables institutions to deploy personalized, compliant journeys in days rather than months, directly tackling the industry's struggle with siloed systems and rigid regulatory requirements.

What was announced

Jac Dunne, CEO of Dimply, has detailed the platform's modular approach to solving the data and development challenges inherent in financial services. The platform is structured around four core components: an orchestration layer for data integration, a theming engine for brand consistency, a fact engine for regulatory compliance, and a no-code experience builder. This architecture allows product teams to move from design to deployment without heavy reliance on engineering resources, significantly reducing time-to-market.

A central feature of the offering is Holi, a deterministic AI agent designed to manage the industry's strict reliance on facts and regulation. Unlike probabilistic AI models, Holi applies specific rules and calculations end-to-end, providing an auditable trail for automated customer interactions. This agent is intended to solve the problem of siloed data by acting as a front-end orchestrator that unifies information from legacy and third-party systems into a single view.

The platform uses conditional rules to move beyond generic demographic targeting, instead tailoring experiences to an individual’s specific financial data and requirements. Looking ahead, the strategy for Holi involves evolving the agent into a "financial co-pilot" over the next three to five years. This evolution aims to transition the tool from a compliance-focused role to one that proactively recommends products based on an analysis of policy, banking, and consumer data, ensuring recommendations are made at the right point in time.

The companies involved

Dimply operates in the fintech space as a provider of intelligent customer experience infrastructure. The company positions itself as a universal tool for financial services organisations, ranging from retail banks to insurance providers, who face the dual pressure of maintaining legacy infrastructure while meeting modern consumer expectations for personalisation. The platform is designed to sit atop existing systems, acting as a front-end orchestrator that unifies disparate data into a single view.

The firm’s leadership, headed by CEO Jac Dunne, emphasizes a "no-code" philosophy. This approach is designed to empower non-technical product teams to manage customer journeys, thereby bypassing the traditional engineering bottlenecks that often delay digital transformation projects. Dimply’s technology is built to embed into existing financial infrastructure, allowing institutions to unify products and services across different legal entities and financial instruments without the need for a "rip and replace" strategy. By focusing on the orchestration layer, the company aims to provide a bridge between complex back-end systems and the front-end user interface, ensuring that brand consistency and regulatory compliance are maintained across all digital touchpoints. This modularity is intended to allow for fast, highly regulated experiences in an industry known for its complexity and slow pace of change.

What this means

The move toward deterministic AI agents like Holi highlights a growing skepticism toward generative AI in highly regulated environments. While large language models offer fluidity, financial institutions require the strict auditability that Dimply is pitching. The real pressure here is on traditional core banking providers and legacy system integrators; if a no-code orchestrator can effectively "paper over" the cracks of siloed data, the urgency to undergo multi-year core migrations may diminish. However, the success of such platforms depends entirely on the quality of the APIs provided by those legacy systems. The industry is watching to see if these "co-pilot" layers can truly deliver proactive advice without triggering new regulatory hurdles regarding automated financial coaching.