A mortgage application can travel a surprisingly long way without getting anywhere. Someone enters the customer’s details. Someone else enters them again. A spreadsheet bridges the gap between systems that ought to be talking. At Darlington Building Society, those gaps helped turn a specialist lending process into a 30-day wait.
The society already had a digital front end. What it lacked was a connected operation behind it. Its core banking platform, customer-facing technology and external suppliers worked separately, leaving staff to move information between them. Installing Finova’s Mortgage Sales and Originations platform, known as MSO, connected those stages and automated routine work. Darlington subsequently reported average turnaround of 14–15 days, with selected applications handled in one day.
That is a more useful introduction to Finova than a catalogue of software names. The London-based business sells time back to banks, building societies, specialist lenders and mortgage brokers: fewer administrative handoffs, quicker product changes and less hunting for the same customer information. Its customers still make the lending decisions. Finova supplies much of the machinery that gets a case in front of them.
The company says its technology powers one in five UK mortgages. Its published footprint includes more than 60 lenders using its origination platforms and more than 550 brokerages using its CRM. For a business most borrowers will never knowingly encounter, Finova has acquired a substantial place in the homebuying process.
01 /The spreadsheet was the bottleneck
Darlington’s problem was especially revealing because it wanted to preserve human underwriting. Specialist lenders deal with cases that demand consideration beyond a standard checklist. Staff time spent copying information competes directly with time spent understanding a borrower. The society’s implementation concentrated on connecting existing systems and reducing manual intervention, making its specialist approach easier to deliver at higher volumes.
Chris Hunter, Darlington’s deputy chief executive, said the aim was to make the society easier to deal with while increasing volumes sustainably. The resulting operation required five fewer employees across sales, processing and underwriting than the previous approach, according to the case study. That is a staffing requirement measure; it does not establish that five people were dismissed.
Other customers show how differently speed can be measured. Finova’s Atom Bank case study records a fastest mortgage offer of 14 seconds. That is an individual record, not an average promise. Coventry Building Society’s product-switching case study describes customers changing mortgage products online in as little as 20 minutes. Buying a property, obtaining an offer and switching an existing loan are different journeys. Combining their times into one dramatic league table would be misleading.
“We needed to be easier to do business with”
Chris Hunter
Deputy CEO, Darlington Building Society
02 /Two lending engines, one longer relationship
Finova’s roots date to 1996, but its present shape owes much to consolidation. In 2024, Bain Capital Tech Opportunities acquired a majority interest in Finova and bought Iress’s UK mortgages business. The businesses were brought together, adding MSO to a portfolio already spanning specialist lending, savings and broker software. In May 2025, Finova refreshed its branding and simplified the product names.
Lending now contains two origination options: the whole-market platform previously called Apprivo and MSO. The distinction matters to buyers. They are choosing a platform suited to their lending operation, rather than assuming every customer runs an identical system. Finova’s broader pitch is modular: take origination, decisioning, savings or servicing individually, or combine capabilities across a larger part of the business.
Decisioning covers affordability, credit risk, scorecards and pricing. A lender can alter rates without rebuilding the underlying product. Savings supports retail and business accounts, with mobile, web and staff-assisted access. Servicing picks up the long relationship after origination, including payments, rate changes, statements, account maturity and collections. Intermediary Manager handles the lender’s relationships with brokers.
Those details explain the company’s expertise better than the word “fintech.” In March 2026, Finova described supporting Offa’s residential Home Purchase Plan, whose Islamic finance structure involves co-ownership and leasing. Configurable rules accommodated ownership shares, affordability and product criteria. A conventional mortgage workflow cannot simply be assumed to cover that structure. Finova’s proposition is to make these variations manageable within a shared technology platform.
- 01Capture & originateApplications, documents and broker access.
- 02Assess & priceAffordability, credit rules and product pricing.
- 03Service & maintainPayments, statements, changes and collections.
03 /An £85 million deal - and a different customer bill
The clearest disclosed price belongs to the corporate transaction. Iress reported £85 million in gross cash consideration for its UK mortgages business, with completion in August 2024. That amount bought MSO’s business; it should not be treated as a valuation of the combined Finova group. Bain’s rationale was to offer customers a fuller product range while continuing investment in both platforms.
For customers, Finova operates a business-to-business software model built around SaaS products, implementation and continuing service relationships. Its modular approach lets institutions buy selected capabilities. The commercial commitment can be lengthy: in February 2026, Key Group extended its relationship for five years, covering more2life’s lifetime mortgages and adoption of newer lending and pricing technology.
The useful purchasing question is total cost against a defined workload. Licence charges sit alongside integration, migration, training and the institution’s own staff time. Darlington’s turnaround and staffing figures give buyers operational measures to test against that bill. They do not, by themselves, prove a financial payback period. A sensible evaluation would establish the baseline before implementation, then track the same measures afterwards.
Finova also runs Broker Payments, a mortgage club and payment service. It advertises access to more than 90 lenders, procuration-fee payments within 24 hours of receipt and a quarterly profit-share offer. Alongside its broker CRM, this gives the group a commercial relationship with the advisers introducing mortgage business as well as the institutions processing it.
04 /The advantage is knowing the awkward cases
Finova occupies a crowded market for financial-services infrastructure. Woodhurst’s specialist-lending technology survey includes alternatives such as Phoebus, Sandstone, Finastra and Sopra Banking Software, covering overlapping parts of the operation. Choosing between them requires looking at the actual job: originating a mortgage, maintaining accounts, managing savings or replacing a wider banking system. A vendor list alone cannot settle that choice.
Finova’s case rests on its UK lending experience, configurable products and reach across lenders and intermediaries. Connections to outside specialists are part of the offer. Its partner network includes property-risk providers such as Hometrack and Rightmove, credit specialists including Experian and Equifax, and DocuSign for electronic signatures. The platform’s value depends partly on how reliably those services fit into the customer’s workflow.
Its customer stories also reveal a constraint on the sales pitch. Scottish Building Society treated its MSO implementation as a cultural change, using a phased rollout and a collaborative relationship with the supplier. In his May 2025 account of Finova’s direction, executive chairman Paraag Davè identified unclear ownership and misaligned leadership as reasons technology programmes miss their objectives. He argued for shorter implementations with visible results. Software still needs somebody responsible for making the new process work.
05 /Now the form-filling gets an AI assistant
Finova’s recent moves aim directly at the remaining administrative work. Its January 2026 partnership with Covecta led to the March launch of Broker Assist, an authenticated conversational agent inside its lending platform. The initial job was specific: help brokers find lender policies and criteria without switching tools or searching documents manually. It brings an answer into an existing workflow rather than asking the adviser to adopt a separate destination.
In July, Finova acquired Cubit Labs, adding its founders and team to the group. Later that month it announced an AI application service intended to take information from a broker’s CRM and fact find, enter it into lender portals, request missing details and return the completed application for the broker’s review and submission. The announcement opened registration ahead of a planned September beta. Its time-saving claims describe the proposed service’s potential, not established results across the industry.
The proposition is easy to understand: capture the information once, then stop asking a person to type it again. Its practical test will be whether information lands in the right fields, exceptions reach the right adviser and the final review remains meaningful. A system moving incomplete or incorrect information faster would leave the underlying problem intact.
Chief executive Gareth Richardson is overseeing a business that is also hiring around that ambition. Finova announced a Manchester hub and plans for 50 new roles in April 2026. Its careers material describes more than 500 employees, collaborative working and regular in-person time. Partnerships with Makers Academy and SheCanCode support apprenticeships and wider recruitment into technology. In August, the company appointed Tom Tredwell as director of data, linking its AI ambitions to a more deliberate data strategy.
Photograph: Finova.
06 /Start with the second time someone types it
Finova’s most repeatable lesson is almost comically unglamorous: follow the duplicate entry. Darlington found it between systems. Emily Mortgage Services found it in spreadsheet-led administration and fragmented case tracking. After adopting Broker CRM, the brokerage reported saving its team six to eight hours a week on administration. The work involved configurable workflows, shared visibility and follow-up automation, all attached to a recognisable daily nuisance.
For another institution, the sequence is practical: identify a repeated task, measure its cost in time, choose the part of the process to connect and give somebody ownership of adoption. Preserve human consideration for exceptions. Evaluate the actual customer journey rather than celebrating the fastest isolated result. These are lessons drawn from the implementations, not a guarantee that another lender will reproduce their numbers.
The approach is less persuasive where the main delay sits outside the workflow being changed, where information is unreliable or where staff cannot adopt the new process. A faster application system cannot determine how quickly every other participant in a house purchase acts. Finova’s best evidence stays close to the work it can influence: fewer handoffs, shorter queues and more time for the cases that need a person. In mortgages, that would be a welcome use of technology.