.jpg)
Duco launches Agentic maturity model
01 July 2026 US, UK
Image: Funtap/stock.adobe.com
Duco, a provider of agentic operations for financial services, has published an agentic maturity model for reconciliation, designed as a benchmarking and planning tool for chief operating officers and capital markets operations leaders to map a path toward AI-powered reconciliation.
The model lists five distinct stages of maturity from manual spreadsheet reconciliation, AI experimentation, automation at scale, hybrid workforce, and agentic operations.
For each stage, the framework outlines the operating model, AI adoption profile, people model, control environment and performance characteristics alongside steps to advance to the following stage.
It puts forward a data-centric operating model built around proactive controls, where reconciliation catches bad data before downstream problems are created.
James Maxfield, chief client officer, Duco says: “Many financial firms are stuck at Stage 2. Everyone’s bought into pilots, but without a proper governance framework, AI tools can run ahead of the firm's control environment. The result is a false sense of progress: more AI activity, but no meaningful reduction in manual workload, operational risk, or cost.
He continues: “Our maturity model gives firms the language and the roadmap to stop patching gaps and start building a genuinely different operating model.”
The model lists five distinct stages of maturity from manual spreadsheet reconciliation, AI experimentation, automation at scale, hybrid workforce, and agentic operations.
For each stage, the framework outlines the operating model, AI adoption profile, people model, control environment and performance characteristics alongside steps to advance to the following stage.
It puts forward a data-centric operating model built around proactive controls, where reconciliation catches bad data before downstream problems are created.
James Maxfield, chief client officer, Duco says: “Many financial firms are stuck at Stage 2. Everyone’s bought into pilots, but without a proper governance framework, AI tools can run ahead of the firm's control environment. The result is a false sense of progress: more AI activity, but no meaningful reduction in manual workload, operational risk, or cost.
He continues: “Our maturity model gives firms the language and the roadmap to stop patching gaps and start building a genuinely different operating model.”
NO FEE, NO RISK
100% ON RETURNS If you invest in only one asset servicing news source this year, make sure it is your free subscription to Asset Servicing Times
100% ON RETURNS If you invest in only one asset servicing news source this year, make sure it is your free subscription to Asset Servicing Times
