Making a credit decision is often not the most time-consuming part of credit management. The biggest challenge frequently comes afterwards.
Additional information may need to be requested, a credit limit may require approval, or a case may fall outside the standard credit policy. Different people or departments then need to take action. It is precisely at these handover points that delays, uncertainty and inconsistencies in the way cases are handled can arise.
The question is therefore not only: which credit decision should we make? But also: what needs to happen next, according to which policy and who is responsible?

Credit policy determines the next step
A sound credit policy defines which risks are acceptable and which rules apply to credit limits, approvals and exceptions. Ultimately, however, the value of that policy lies in how it is put into practice.
For standard cases, available data can be assessed against predefined acceptance criteria, mandates and credit limit rules. If a case falls within these parameters, it can be processed quickly or prepared for approval.
For exceptions, clarity is particularly important. The responsible person should be able to see immediately:
- which policy rule has been triggered;
- which information supports the assessment;
- which information is still missing;
- why human assessment is required;
- which next step is recommended.
This means credit professionals do not have to reassess every case from scratch. Instead, they can focus their attention on material risks, exceptions and situations that require interpretation.
Workflows prevent cases from getting stuck
A credit decision rarely ends with a score or recommendation. Additional documents may be required, Sales or Procurement may need to be involved, a credit limit may need to be approved, or a follow-up review may need to be scheduled.
In many organisations, these steps are still managed through email, spreadsheets and different systems. As a result, it is not always clear who is responsible for the next action, which step is still outstanding or why a decision was made.
Workflow management can structure this follow-up more effectively. For example:
- requesting missing information;
- assigning a case to the right owner;
- routing an approval based on the relevant mandate;
- informing the stakeholders involved;
- recording the reason behind a decision;
- scheduling a follow-up review or action.
This makes the transition from credit decision to action less dependent on manual handovers and fragmented communication. At the same time, it creates a consistent history of the case.
AI can play a supporting role here. A Risk Intelligence Agent can apply policy rules to standard cases, identify exceptions and automatically route cases to the right decision-maker or next step. This means AI is not only used for analysis, but also to translate credit policy into action more consistently.
Not just faster, but also easier to audit
A well-designed process delivers more than efficiency. It also makes it clear which data was used, which policy was applied, who approved an exception and why a particular action was taken.
This is especially important when multiple stakeholders are involved in credit decisions and follow-up actions. Clear mandates, thresholds, audit trails and the ability to intervene manually therefore remain essential.
Interesting read: AI in credit risk: where does AI deliver the most value?
What does such a workflow look like in practice?
A good credit risk workflow does not have to start with a complex setup. The key is that each step logically follows from the credit policy.
Step 1. Assess the case
Assess the available information against the relevant acceptance criteria, credit limits and policy rules.
Step 2. Determine whether it is a standard case or an exception
If the case falls within the agreed parameters, the regular process can be followed. If not, it should be clear which rule has been triggered and why additional assessment is required.
Step 3. Route the case to the right owner
Based on mandates and responsibilities, route the case to the appropriate decision-maker or department.
Step 4. Record the decision and supporting information
Register which information was used, which policy rule was applied and why a particular decision was made.
Step 5. Schedule the next step
Request missing information, inform relevant stakeholders or schedule a follow-up review when needed.
This creates a process in which policy, decision-making and follow-up are directly connected. The input provided highlights exactly these elements: routing approvals, recording decisions, scheduling reviews and triggering follow-up actions.
Turn credit policy into a working process
A strong credit process is not only about making the right decision, but also about what happens afterwards. By aligning credit policy, mandates and workflows effectively, standard cases can move faster and exceptions can be routed directly to the right person.
This provides greater control over follow-up, decision-making and accountability, without removing human judgement from the process.
Want to know where the biggest opportunities for improvement lie within your credit process? Contact us and discover how to move from credit decision to action faster.