Nivo report points to admin burden in specialist lending

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Nivo has published a market insights report highlighting the time lost by specialist lending teams to duplicated admin, incomplete submissions and repeated broker-lender communication.

The report, The Rework Problem, is based on in-depth conversations with more than 70 lenders and brokers across the UK specialist lending market, alongside deployment data from Nivo’s own AI platform.

It identifies rework, rather than case complexity, as the main driver of operational inefficiency in origination.

Nivo said many specialist lending teams were losing time to work that had already been carried out once, including chasing missing documents, correcting incomplete information, checking submissions, clarifying requirements and managing repeated broker-lender communication.

The research found that most firms in the sample were achieving right-first-time submission rates of 50% or below, meaning a significant proportion of daily case administration was spent fixing, chasing or repeating work rather than progressing new cases.

According to the report, a typical secured loan case can generate 15 to 20 message rounds, involve more than five people and require upwards of five hours of administration on the broker-to-lender leg alone.

It also found that between 20% and 50% of cases were stalling or failing to complete, with process friction identified as a more common cause than deal quality.

Nivo’s deployment data showed reductions of six to eight hours of administration per case when AI agents were applied at the intake and document collection stages, where the company said much of the wasted effort typically begins.

Matthew Elliott, co-founder and chief commercial officer at Nivo, said: “The biggest thing stopping brokers and lenders completing more deals is the admin work gathering, checking, and chasing information and documents.

“Our AI agents are a perfect fit for this work, taking it on 24/7 so teams can move more cases forward faster at lower cost.”

The Rework Problem is available to download now at: whitepaper.nivohub.ai/

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