Financial Services
Lending at the speed the borrower expects, on the rules the business controls.
For banks, non-bank lenders, specialty finance providers, and alternative lenders across APAC. Borrowers expect yes-or-no in minutes. Compliance expects every decision to be auditable. Operations expects the business, not IT, to own the credit policy. Most lending platforms are not built for all three at once.
We work on the decisioning, origination, risk, and customer journey infrastructure that lets a lender move at speed without losing control of the rules. A decade of decisioning work in Australia, extended by AI agent capability proven across European banks.
The landscape
The problems we see across non-bank lending
The buyer for this work is a lender, specialty finance provider, or alternative lender. The customer expectation has moved past what most lending platforms were built for.
Credit decisioning is slower than the rest of the customer experience can carry
Borrowers expect yes-or-no in minutes. Lenders still run credit through batch processes, manual reviews, and rule sets nobody trusts enough to fully automate. The customer experience competes badly with fintech challengers. The operations team spends most of its time on cases that should not have needed human judgement. Open banking should have turned credit decisioning on its head, but most have failed to leverage it properly.
Risk and fraud detection lives in a separate world from customer-facing decisioning
Fraud teams have their own tools, data, and queues. Credit teams have theirs. The customer sits between them, waiting for checks to run sequentially. When a fraud signal fires after credit approval, the unwind is expensive and the experience is broken. The two worlds need to converge; most lenders do not have a clean way to make that happen.
Origination journeys leak, and nobody can see where
Of every hundred applications a lender starts, a stubbornly high percentage drop out before completion. Some is genuine disqualification. Some is friction the lender accepted as a cost of doing business. The lender that sees where journeys leak, and fixes them without rebuilding core systems, wins material volume from the applicants it already attracts, without spending a cent more on acquisition.
Multi-brand operations multiply complexity faster than they multiply revenue
Many APAC non-bank lenders run multiple brands targeting different segments. Each brand has its own credit policy, customer experience, and data flow. The back office is one team. The front office is many. Effort is spent on reconciliation instead of improvement. "How do we scale this without scaling headcount" is open and unanswered.
What good looks like
A non-bank lender that has solved these
If you have solved the problems above, the operation looks like this. We have helped non-bank lenders get here.
Decisions at borrower speed
Routine cases decision in seconds with full audit. Edge cases route to the right human with the right context. No batch windows. No queue waits.
One risk picture
Fraud and credit signals converge in one decisioning view. The customer sees one journey. The lender sees one risk picture. The costly rework of unwinding an approval after a late fraud signal disappears.
Instrumented journeys
Origination journeys instrumented end-to-end. Drop-off visible by step, segment, and channel. Improvements tested, not guessed.
Multi-brand at the platform layer
Multi-brand complexity managed at the platform layer, not the process layer. New brands launch in weeks, on shared infrastructure with their own credit policy and customer experience.
How we have helped
Patterns anchored in real work
Patterns we have shipped across non-bank lending, specialty finance, and adjacent financial services. All shipped in production across Australia and Europe.
A custom, end-to-end loan origination and credit assessor workbench
A hand-crafted no-code loan origination solution that delivers a range of capabilities throughout the origination lifecycle, from application through to serviceability and final decision. Omni-channel ingress and integration with a 3rd-party loan management system for settlement.
An Italian mobile-first fintech bank
Multi-channel customer journeys on an AI agent platform
An Italian fintech serving consumer and SME customers. Web and VOIP customer journeys orchestrated through the same conversational AI platform our team deploys for APAC lenders. The pattern transfers to origination and servicing flows.
Banca Sella and other European banks
Multi-channel customer service across regional, private, and specialty banking
Additional European banks running customer service flows on the same conversational AI platform - Banca Sella, one of Italy's longest-established private banking groups, alongside a regional cooperative bank and a specialty finance bank. At Banca Sella the agent handles 80 percent of routine requests independently. One platform handles three different operating models without forking.
A Digital Experience Labs differentiator
Multi-brand finance, on one decisioning platform.
For lenders running multiple brands, the choice has historically been to replicate the operation per brand or compromise the brand experience on shared infrastructure. We have shipped a third option. The decisioning platform is shared. The credit policy is brand-specific. The customer experience is brand-specific. The back office is one team.
This is the work we did at Solvar. The same pattern applies to any lender carrying brand portfolio complexity that grows faster than revenue.
Capabilities that apply
Where to start
Our decisioning and AI capabilities cover most of the work above. Pick the one closest to the problem you are solving now; the rest connects.
Process and Decision Automation
The credit decisioning, multi-brand rule management, and origination workflow patterns above. Primary capability for this industry. This is where most engagements begin.
Artificial Intelligence
Origination journeys, servicing journeys, conversational interfaces. Multi-channel customer engagement built on the same conversational AI platform that powers European banks.
Related reading
Go deeper
Pieces that go further on credit decisioning, automation pitfalls, and the boundary between AI and rules.
Questions we get asked
What do you do for non-bank lenders?
Credit decisioning, loan origination, serviceability, and multi-brand rule consistency, externalised onto a platform the business can change. Solvar runs a custom end-to-end loan origination and credit assessor workbench we built, from application through serviceability to final decision.
Can business rules and AI co-exist in a credit decision?
Yes: AI gathers and synthesises context, and shapes the data into structured schemas; deterministic rules make the regulated call. We explain the split in the Decision Pyramid.
How do you support multi-brand lending groups?
One shared decisioning platform, brand-specific credit policy and customer experience, one back office. New brands launch on shared infrastructure instead of a replicated operation. This is the pattern we shipped at Solvar.
How is auditability handled?
Every decision is reproducible: versioned rules, immutable decision logs, and replay against the rule version in force at the time, which is what a credit review or a regulator asks for.
Is conversational AI proven in banking?
Yes, in production across European banks. At Banca Sella, one of Italy's longest-established private banking groups, the agent handles 80 percent of routine requests independently. The same platform runs a regional cooperative bank, a specialty finance bank, and a mobile-first fintech, three operating models without forking.