AI & Automation · Fintech and banking

AI Development Company for fintech and banking

Fintech software development services for products that move, hold or lend money, where the system has to prove what happened long after it happened.

Why this is different here

Automation that assists a decision rather than making it unaccountable

In a regulated product, an automated decision that nobody can explain is a liability rather than an efficiency. We automate the work around decisions, document handling, case routing, reconciliation triage, and we keep the decision itself recorded with the rule and the inputs that produced it.

What we build

Typical scope for fintech and banking

Ledger and money movement

Immutable double entry records with balances derived, not stored

Idempotent payment APIs

Every money moving endpoint safe to retry, with stored responses

Reconciliation engine

Scheduled matching against provider references, with unmatched items that age and escalate

Onboarding, KYC and KYB flows

The product side of identity, wired to whichever verification vendor you choose

Back office tooling

Screens support can answer from, instead of interrupting an engineer

Regulatory extracts

Scheduled reports that reconcile to the ledger and are produced the same way every time

What the service includes

AI & Automation at Voliom

  • Automation audit: which tasks are worth automating and which are not
  • LLM features: assistants, summarisation, extraction, classification
  • RAG over your own documents, with citations and guardrails
  • Workflow automation across your existing tools and CRM
  • Evaluation and monitoring so quality is measured, not assumed
  • Cost controls and rate limits so bills stay predictable

Systems

What it has to connect to

FAQ

Common questions

Do you have experience in fintech and banking?

We build operations software for this kind of business, which is a different claim from being a fintech and banking specialist and we would rather make the honest one. What we bring is the engineering and the pattern recognition from similar operations. What you bring is how your plant, depot or site actually runs, because that part is never in a case study.

How do you start on a AI and automation project here?

Architecture decisions in week one, then a first production money path in eight to twelve weeks, with reconciliation and support tooling before launch rather than after.

What does it cost?

Scope decides it and we quote line by line after a call. Two tracks: a blended squad at roughly $24 to $45 per hour, or a senior-only pod at roughly $75 to $120 where architecture review and a compressed timeline matter. A first project in this space usually runs four to six weeks.

Which AI models do you use?

Whichever fits the job and the budget, usually Claude, GPT or an open model we host. We design so the model can be swapped without rebuilding your product.

Keep exploring

More for fintech and banking

Let's talk

Tell us what you're building.

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