Financial remediation: handling customers who cannot pay

What is financial remediation?

Financial remediation is what a lender does for a customer who cannot make payments as they stand: it works out what the customer can afford and changes the terms so that paying becomes possible again. In financial services the word usually means putting right a past error. This article uses it for what a lender does when a customer cannot pay. The trade also calls it forbearance, the general word for giving a customer relief from the original terms, and the conversation that starts it an affordability assessment. Vendors file it under collections, financial recovery or hardship. Whatever the name, the purpose is the same. A customer who cannot pay 300 a month might manage 150, and a plan at 150 that is kept pays more than one at 300 that is missed in month two.

It is a different conversation from ordinary collections. A collections call asks for a date and a payment; a remediation conversation asks about the customer's month, and the answer decides the terms. Doing it well needs time, privacy and a list of options the lender has already decided it can offer, which is why so many lenders now want AI tools for handling customers who cannot make payments: software, sold under names from AI collection agents to AI debt collection software for enterprises, that can hold the first conversation on every account, gather the facts and offer the pre-approved options, so people's time goes to the cases that need a decision.

How do you tell can't pay from won't pay this month?

By asking, early, and listening to the answer. Some people behind on a payment are only short this month; a new date or a split payment settles it. A customer in genuine difficulty usually has something different to say: a job lost, hours cut, an illness, a separation, a benefit payment that hasn't arrived. Those are the signals that move an account from collections to remediation.

The mistake in both directions is expensive. Treat a bad month as hardship and you put a customer through an affordability questionnaire who only needed a date. Treat hardship as a bad month and you agree a date the customer will miss, then another, while the arrears grow and the customer stops answering. So the first contact on every account should ask one open question about what happened before it proposes anything, and route the answer: a date or a split for a bad month, the remediation conversation for anything that sounds like more.

What does an affordability conversation sound like?

Keep it plain and short: ask what comes in each month after tax (wages, benefits, anything regular), what has to go out (rent or mortgage, utilities, food, travel, other credit), and what is left. That last figure is the one the plan is built on, and it should be the customer's figure, said aloud and written down, not one the lender infers. A plan built on the customer's own numbers is one they have already agreed is possible.

Then the options, from the lender's own list. With a short deferral, the next payment moves by a few weeks for a problem that will pass, such as a late salary. A reduced instalment lowers the monthly amount for a set period and extends the term. A longer plan, by contrast, spreads the arrears over more months at an amount the customer named. For a shock the customer expects to recover from, a payment holiday pauses payments entirely for a short time, usually with interest still accruing. A settlement accepts less than the balance to close the account, normally only on older debt. And a referral to free debt advice is the right answer when this account is one of several the customer cannot pay, because a plan on one loan cannot fix a budget that does not balance.

What does a remediation case look like in numbers?

Here is an illustration; replace every figure with your own. A customer with a personal loan is 60 days behind, with 2,400 euros in arrears. Their hours were cut in September. The affordability conversation puts their income at 1,650 euros a month and their essential outgoings at 1,500, leaving 150. The lender's pre-approved options allow a reduced instalment for up to three months or a plan of up to twelve months.

At 150 a month, 2,400 takes 16 months, four past the limit. A twelve-month plan would need 200 a month, which is 50 more than the customer has. So the software, or the collector, does not propose 200 and hope. It records the facts, agrees 150 for this month so the arrears grow more slowly, and passes the case to a person who can approve the 16-month plan, or a reduced instalment for longer than the three months the agent may offer, while the customer looks for more hours. The customer has told their story once, and the plan they end up on is built on a figure they gave.

Now scale it. Suppose 1,000 customers a month reach the remediation conversation. If 600 of them fit the pre-approved options, the software agrees those plans in the call and 400 go to people, with the facts gathered. At 20 minutes a case, that is about 133 hours of skilled work a month instead of the 333 hours it would take to run every conversation by hand.

What can software automate, and what stays with a person?

Software that helps lenders automate financial remediation conversations can do the parts that are the same on every call: ask what happened, run the affordability questions in plain words, offer the options the lender has pre-approved for that product and for how far behind the account is, agree the one that fits, confirm it in writing and schedule the first payment. An AI collection agent can do that by phone or message, in the customer's language, on the day the payment is missed rather than weeks later.

Three things stay with a person. The exceptions stay with a person, where the customer's figure falls outside the pre-approved options, as in the example above. So do customers who show signs of vulnerability, where the conversation needs care rather than a menu, and who should reach a person without repeating themselves. And so does the policy itself, which options exist, for which products, up to which limits. Software applies the policy on every call; people write it.

How do you know remediation is working?

Not by the number of plans agreed, which rises the moment you make plans easy to agree. Watch whether plans are still being kept at three and six months, broken down by option and by who agreed them, so a reduced instalment agreed by software can be compared with one agreed by a person. Watch how many customers come back into arrears within a year of a plan ending. And count the referrals to free debt advice: a lender that never makes one is not finding the customers who need it.

Complaints belong on the same page. A customer pushed into a plan they could not afford has reason to complain, and a rise in complaints about plans is an early sign that the limits or the questions need changing.