AI Solutions

AI Solutions for Risk, Capital & Control

We start with the business and risk problem - not with the technology.

JCapRisk works with regulated financial institutions to identify where AI, agents, data and technology can reduce manual work, strengthen controls and improve decision support across models, capital, governance, risk and control processes. Solutions are designed around the institution's governance, policies, regulatory requirements, data, systems and decision rights.

AI where it improves the institutional outcome

AI capabilities can be embedded across quantitative models, capital, governance, risk, controls and technology workflows where they improve analysis, execution, evidence, control or decision support. The appropriate solution may use AI agents, analytics, automation or conventional technology - and it may deliberately use less technology where that is the better answer.

Application area

Agentic quantitative workflows

Tailored AI agents can support the workflow of an in-house senior quant. They build working context from governance, policies, regulatory requirements, processes, model documentation and data.

They identify points requiring expert judgment, prepare the relevant analysis and evidence, engage the appropriate specialists and record agreed decisions and rationale before moving into subsequent model-cycle activities.

Applications can include model development, qualitative variable selection, expert judgment, parameter adjustments, overrides and exceptions, calibration and recalibration, backtesting, sensitivity analysis, benchmarking, model monitoring, performance analysis, documentation, validation submission, remediation, governance committee materials and regulatory readiness. These workflows can apply across credit, operational, market and other quantitative risk frameworks where relevant.

Expert judgment, approval and accountability remain with the relevant people. The agent reduces manual handoffs and prepares the work around those decisions.

Application area

AI across governance, risk and control frameworks

JCapRisk can design AI-enabled solutions covering complete or selected elements of a governance, risk and control framework, including regulatory compliance.

AI agents and supporting technology can connect regulatory obligations, policies and standards, governance structures, processes, responsibilities, decision rights, data, controls, evidence, monitoring, exceptions, issue management and reporting in a traceable workflow.

Potential activities include structuring policy requirements, mapping obligations to controls and processes, preparing evidence, identifying missing or inconsistent information, coordinating expert input, routing decision points, surfacing exceptions, preparing management or governance materials, monitoring changes and maintaining structured evidence trails. Human owners retain the relevant decisions and approvals.

How we develop the solution

Understand the issue and institutional context

We first understand the problem, where the current process creates delay, manual effort, control risk, inconsistent evidence or poor decision support, and the institutional environment around it. Together with the relevant business, risk, model, technology, compliance and control owners, we map the governance, policies, regulatory requirements, decision rights, processes, data, systems and controls that shape the solution.

Design the target workflow

We determine where AI agents, analytics, automation or conventional technology add value - and where expert judgment, challenge and approval must remain explicit. We define the target workflow, decision points, responsibilities, controls, data requirements, evidence and technical interfaces.

Develop the proposal and delivery path

Based on that work, we develop an agreed proposal covering scope, deliverables, responsibilities, implementation stages and the specialist or technology support required. The work may begin with a focused assessment, proof of concept, defined workstream or controlled implementation.

Built around the institution - not added as a generic AI layer. The solution is designed around the institution's governance, regulatory requirements, operating model, data environment and existing technology.

Technology implementation partner

From risk design to technical implementation

JCapRisk leads the risk, governance, regulatory and operating-model design. Where broader technology implementation is required, MDS Digital AG can contribute agreed software, data, AI and integration work packages. Responsibilities and interfaces are agreed with the client for each assignment.

Learn about our delivery model