Faster, busier, still stitched together.
Presented by Mortgage Automator. Survey by Lux Insights.
Five findings. If you read nothing else, read these.
87% took more applications and 85% funded more loans. 87% also say their market is more competitive than a year ago, and 54% are taking on more risk than they were.
85% improved their application-to-funding time and 96% are satisfied with where it stands. Speeding up origination is still the single most common priority for 2027, named by 44%.
Chasing documents (34%) and underwriting (27%) account for most of the stall. Neither is a capital problem or a demand problem.
Only 17% run a largely integrated platform. 7 in 10 redo work because of manual errors a few times a month or more.
US and Canadian operations look more alike than different. The real divergence is between small, mid-size and enterprise firms, and it runs in both directions.
Growth in private lending is not concentrated in one product or one corner of the market. Applications are up for 87% of lenders and fundings for 85%. Qualified opportunities, the deals worth pricing, rose for 82%.
The measure worth pausing on is the fourth. Borrower quality improved for 74% of lenders. That matters because it sits alongside the finding that 54% are more willing to take on risk than they were a year ago. Rising risk appetite in a market where borrower quality is also improving is a different proposition from rising risk appetite in a deteriorating one.
What is not improving is the competitive position. 87% describe their market as more competitive than it was twelve months ago, and only 3% say less. Everybody is growing, which means growth alone is not evidence that anything is working.
Half the market approves a complete application within three days. Just under half funds within three days of approval.
The picture improves year over year on both counts: 85% say their application-to-funding time got faster, and 96% are satisfied with where it currently sits. Which makes it notable that speeding up origination remains the most common priority for the next twelve months, named by 44% of lenders.
Satisfaction and urgency are pointing in opposite directions, and the most likely explanation is that lenders are measuring themselves against competitors rather than against a fixed target. In a market where 87% report rising competition, “fast enough” is a moving number.
One pattern cuts against the assumption that bigger means quicker. Small firms are the most likely to approve in under 24 hours: 18%, against 2% of mid-size firms and 3% of enterprise firms. Enterprise firms are more likely to have improved over the year (93% faster, against 73% of small firms) and more likely to be very satisfied, but they are not the ones turning a file around overnight.
Two stages account for 61% of the answers. Neither involves money or demand.
The question asked lenders to set aside time spent waiting on third parties, such as appraisals, legal and title, and name where their own process stalls. The top answer was chasing documents, and the second was underwriting. Both are internal, which means both are addressable without a change in market conditions.
The same pattern shows up when lenders are asked where they feel most operationally constrained: underwriting speed (49%), technology and systems (43%), and document and data management (42%) lead the list, ahead of staffing (28%) and capital availability (18%).
That ordering is worth noting. The constraint lenders name most often is not people and not money. It is the throughput of two specific stages.
Document chasing is the most common bottleneck in the industry and the one most often addressed with the least effective tools. Reminder emails and an upload portal are table stakes; neither changes the shape of the problem.
Send a complete checklist tailored to the loan type with the term sheet, so nothing is requested piecemeal.
Brokers often hold the documents. Give them their own view of what is outstanding and a way to upload it directly.
82% of lenders are confident their borrowers will return. Keep entity documents and IDs on file so a returning borrower only sends what changed. In Lendr, 20% of the documents lenders requested were already on file from that borrower’s earlier loan.
AI reads each upload and flags expired, missing or mismatched pages on day one rather than at underwriting. Document review is already the most common AI use case among private lenders, at 51%.
One shared list showing what is outstanding, who owes it, and what it unlocks.
Agree a document turnaround time with the borrower up front, along with an escalation path.
Track days spent waiting on documents as its own stage. You cannot shorten what you have not isolated.
7 in 10 lenders redo or correct work because of a manual error a few times a month or more. 13% do it more than once a week. Only 12% say a few times a year or less.
Where those errors cluster is specific, and the top two match the top two bottlenecks exactly. Document collection and underwriting are where files stall, and they are also where the work gets done twice.
This is the compounding cost of a fragmented stack. Rework does not show up as a line item. It shows up as a file that took nine days instead of six, and as a team that is busy without being productive.
The Cost of Manual Work, the next report in this series, puts a number on it.
No process in private lending is mostly automated across the industry, and none is mostly manual either. Every one of the eight sits in a hybrid state, with the largest group of lenders in every case describing a mix of manual and automated work.
The pattern across the list is consistent: the further a process sits from the borrower and the closer it sits to the ledger, the more automated it is. Servicing and collections, portfolio monitoring and compliance checks are the most automated. Draw management and document collection — the two processes that involve waiting on somebody outside the business — are the most manual.
Underneath all of it, only 17% of lenders run a largely integrated, end-to-end platform. Half (49%) run multiple systems that are partially integrated, 22% run multiple systems with limited or no integration, and 13% are primarily on spreadsheets, email and manual tools.
Private lending has digitized faster than it has integrated. The next stage of modernization is less about adding tools than connecting the ones already in use.
Residential bridge, fix-and-flip and DSCR lead on portfolio share. But the growth column is the more interesting one: every product type tested grew for at least 68% of the lenders who offer it.
The spread from top to bottom is only ten points. There is no rotation story here. Lenders are not moving out of one product and into another. They are doing more of everything.
Delinquency sits where it has: 46% of lenders report 1% to under 3% of their active portfolio delinquent or in default, and 35% report 3% to under 5%. 12% are under 1% and 7% are at 5% or above.
And 82% are confident the borrowers they have funded will come back.
Capital is the most commonly cited pressure on deal flow, named by half of lenders, ahead of rates, regulation and competition.
The sources behind that pressure are more varied than the sector’s reputation suggests. No single channel dominates. Private funds, bank facilities, individual investors and the lender’s own balance sheet are each a major source for roughly half the market, and most lenders draw on several at once.
The clearest national difference in the entire survey sits in this table. US lenders are substantially more likely than Canadian lenders to count institutional investors (48% against 33%) and family office capital (45% against 31%) as a major source. Canadian lenders lean more on private funds and carry those same sources as minor rather than major channels.
The hypothesis going into this research was that US private lenders would be further along than Canadian ones: a bigger vendor ecosystem, more competitive pressure, faster adoption. The data does not support it.
The differences that do exist are real but narrower than expected. Canadian lenders report more fraud exposure and more regulatory uncertainty (53% against 38%), and they are more likely to name growing loan volume as a 2027 priority (41% against 26%). US lenders are more likely to prioritize compliance posture (34% against 23%) and more likely to expect a significant increase in AI use (43% against 30%).
Scale is where the market actually divides, and it does not divide neatly.
There is no single modernization path in this industry. Small firms need scale without losing speed, mid-size firms need infrastructure that catches up with their complexity, and enterprises need systems that coordinate operations that have outgrown improvisation.
Trade infrastructure for agility.
They are the most likely to run mostly manual processes.
The pressure point.
They carry enterprise-level complexity on small-firm infrastructure.
Most integrated, most automated.
They are the most likely to feel pressure from new entrants.
AI has stopped being a pilot in private lending. The open question is no longer whether to adopt it. It is where to let it work unsupervised, and where a person still signs off.
Four of the top five priorities for 2027 are operational. Speed leads, technology adoption is second, and reducing manual work is fourth. Growing volume, the thing most businesses would name first, sits third overall and only reaches the top of the list in Canada.
44%33%32%31%30%27%26%25%24%That ordering is the clearest signal in this survey. In a market where everyone is growing and competition is rising on all sides, lenders have concluded that the constraint is not demand. It is their own capacity to process the demand they already have.
And when asked what support would be most valuable right now, 40% named technology evaluation guidance, more than capital introductions (16%) and operational best practices (12%) combined.
One risk sits outside that frame: 56% are very or extremely concerned about AI-enabled fraud targeting their organization in the next twelve months.
I think the biggest issue is how difficult it has become to manage risk while still moving quickly.
My biggest challenge is dealing with borrower expectations around rapid closing times while still doing our proper due diligence.
The risk of liquidity is underreported. Even with good assets on paper, a lender may still be under significant strain if repayments, capital calls, or fresh funding do not go as planned.
Many people misunderstand private lending as predatory high-rate loans. In fact, most bridge lending fills gaps left by slow traditional banks.
Two things are true at once in this data. Private lenders have rarely had more demand, and they have rarely been more stretched processing it. Here is what we think that means for 2027.
Most lenders already approve within a week, and 96% are satisfied with their speed. The next edge is not shaving another hour. It is telling a borrower or broker exactly when they will fund, and hitting that date every time. That only happens when you know where every file sits, including the days lost waiting on documents.
Four of the top five priorities for 2027 are operational. Lenders who absorb growth by adding people will find the rework grows with them. The ones who pull ahead will connect the systems they already run, so data is entered once and every file is visible in one place. That pressure is sharpest for mid-size lenders, who carry enterprise complexity on small-firm infrastructure.
89% plan to use more AI. The value will not go to the lenders with the most AI tools. It will go to the ones whose AI sits where the loan lives, with its suggestions and the team’s decisions on the same record. Home-built tools and side spreadsheets can get you started, but every one of them is something you will have to maintain, audit and defend.
Lenders were clear about where they want a person in charge, and we agree. With 54% taking on more risk, the job of technology is to put the right signals in front of the underwriter on day one, not to make the call for them.
56% are worried about AI-enabled fraud. The defense is not one product. It is checking documents the moment they arrive, verifying information at its source, and keeping a clear record of who reviewed what. By mid-2027, every lender should be able to say exactly where in their process a forged document would be caught.
This is the first edition of State of Private Lending, and it won’t be the last. Next fall we’ll ask the same questions and see what changed. In the meantime, we’d like to hear how your team is handling the year ahead: where your files slow down, what you’ve connected, and where AI is earning its place. If you want to compare your operation against these benchmarks, or see how lenders on our platform are putting these ideas to work, our team would be glad to talk it through.
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Free live webinarDecember 1, 2026, 2pm ET
A walkthrough of the survey findings and what they mean for lenders heading into 2027. Find out what surprised us and compare your business to our survey data in real time.
Survey of 200 private lenders in the United States and Canada (120 US, 80 Canada), conducted by Lux Insights between August 26 and September 20, 2026. Margin of error ±5.8% at 90% confidence. In order to qualify, respondents must be a private lender, be a senior operator or higher, be a decision maker for purchasing technology, reside in US or Canada, be 18+ years of age. Responses collected through a 15-minute online survey.
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