Fintech Automation Services

KYC onboarding taking days when the checks are already automatable

A KYC process that takes 3 days of manual review for a straightforward applicant is a cost problem and a customer experience problem. A reconciliation process that requires a finance team's week every month is a cost problem and an error risk. A regulatory report assembled in spreadsheets is a compliance risk. We build automation for fintech companies and financial services operators that replaces the structured, rule-based portions of these workflows, KYC onboarding, transaction processing, reconciliation, regulatory reporting, and fraud detection, with software that runs faster, makes fewer errors, and produces a complete audit trail.

  • KYC and AML onboarding automation with document verification and compliance checks

  • Transaction processing and reconciliation pipelines without manual matching

  • Regulatory reporting assembled automatically from your source systems

  • Fraud detection and anomaly scoring integrated into your transaction workflow

Recent outcomes

Fintech automation · Consumer lender

60-80% straight-through processing

Automated KYC onboarding with identity verification, sanctions screening, and straight-through approval for standard applicants.

AI OCR · Financial document processing

20,000+ daily transactions

Built a document intelligence pipeline that processes claims forms, statements, and compliance documents without human review.

Workflow automation · Loyalty and engagement platform

1K+ logins in 24 hours

Deployed an automated engagement and reporting layer for a utility provider's financial services arm.

4.9
on Clutch
See our work

The problem

Sound familiar?

  • Is KYC onboarding taking days of manual review and document chasing for straightforward applicants?

  • Is reconciliation consuming a finance team's week every month when the matching logic could run overnight?

Short answer

RaftLabs builds automation systems for fintech companies and financial services operators: KYC and customer onboarding workflows, transaction processing pipelines, financial reconciliation, regulatory reporting, and fraud detection. Most fintech automation projects deliver in 8 to 14 weeks at a fixed cost, with full source code ownership.

Key takeaways

  • RaftLabs automates KYC onboarding, transaction processing, reconciliation, regulatory reporting, and fraud detection for fintech and financial services operators.
  • Most KYC automation programs achieve 60 to 80% straight-through processing for consumer applications in mature configurations.
  • A focused automation covering one workflow typically runs $25,000 to $60,000; multi-workflow platforms run $60,000 to $150,000.
  • Automation integrates with modern core banking platforms (Thought Machine, Mambu) and legacy systems (Temenos, Finacle) without replacing them.
  • Compliance requirements (FCA, CBI, MAS, ASIC, DORA, PSD2, GDPR) shape the architecture from the first design session, not bolted on after.

Trusted by

Vodafone logo
Aldi logo
Nike logo
Microsoft logo
Heineken logo
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Energia Rewards logo

Automation delivery, by the numbers

automation systems deployed across industries
30+
average time to first automated workflow
8 weeks
rated by clients on Clutch
4.9/5
years delivering software for established businesses
9+

Manual financial workflows carry cost, risk, and compliance exposure simultaneously

A KYC process that takes 3 days of manual review for a straightforward applicant is a cost problem and a customer experience problem. A reconciliation process that requires a team of analysts every month is a cost problem and an error risk. A regulatory reporting process done in spreadsheets is a compliance risk.

Fintech automation addresses all three by replacing the structured, rule-based portions of these workflows with software that runs faster, makes fewer errors, and produces a complete audit trail. The judgment calls, the complex cases, and the regulatory sign-offs still involve humans, focused on the decisions that genuinely require them.

Capabilities

What we automate

  • 01
    KYC and customer onboarding

    Automated KYC and AML onboarding pipelines triggered from application submission. Identity document verification uses OCR extraction to read passport, driving license, and national ID data, followed by liveness check and document authenticity verification. Sanctions screening checks applicant data against OFAC SDN, UK HMT, EU Consolidated, and UN Security Council lists, alongside PEP and adverse media checks. Straight-through approval processes low-risk profiles without human review, typically 60 to 80% of consumer applications in a well-calibrated system.

    Built with
    Onfido · Jumio · Dow Jones Risk and Compliance
  • 02
    Transaction processing

    Automated transaction processing pipelines that handle the full payment lifecycle from initiation to settlement. ACH files generate in NACHA format with correct Standard Entry Class codes; SWIFT MT101/MT103 messages handle cross-border payment instructions. Return and exception handling routes failed, returned, or queried transactions to a resolution queue with the failure code and suggested remediation, instead of a manual investigation.

    Built with
    NACHA · SWIFT MT/MX · ISO 20022
  • 03
    Financial reconciliation

    Automated reconciliation matching transactions across your general ledger, bank statement feeds, and payment processor settlement records. Three-way match reconciliation confirms the internal ledger entry, the bank statement transaction, and the processor settlement record agree on amount, value date, and reference. Reconciliation that previously consumed 2 to 5 days of finance team time per month runs overnight, with human review focused on the exception list.

    Built with
    Plaid · Finicity · BAI2
  • 04
    Regulatory reporting

    Automated assembly of regulatory submissions from your transaction, customer, and risk system data. FCA Gabriel/RegData submissions, MAS Form 5 returns, and CBI regulatory returns assemble automatically against the relevant reporting template. AML transaction monitoring reports pull flagged transactions, enrich them with customer risk profile data, and format them for SAR/STR submission to your jurisdiction's Financial Intelligence Unit.

  • 05
    Fraud detection and scoring

    Fraud scoring integrated into your transaction processing and onboarding workflows, trained on your historical fraud patterns rather than a generic industry model. Real-time scoring runs on each transaction at authorization; batch scoring runs overnight on account-level behavioral patterns for account takeover detection. Risk scores route to your fraud team dashboard with the model's feature contribution surfaced alongside the transaction context.

  • 06
    Lending and credit workflow automation

    Automated credit decisioning pipelines for consumer and SME lending, from application submission to approved disbursement without manual processing for standard cases. Affordability assessment applies your underwriting criteria against bureau tradelines and open banking income verification. Approved applications trigger automated disbursement; declined applications generate compliant adverse action notices with the required FCRA reason codes.

    Built with
    Experian · Equifax · TransUnion

How we work

From scope to shipped

Every automation project follows the same four phases. Scope is locked and price is fixed before development starts.

  1. Week 1
    01

    Audit and scope

    We map your highest-cost manual processes, measure the volume and frequency, and identify the automation candidates with the clearest ROI. You leave week 1 with a written scope document and a fixed-price quote.

  2. Weeks 2-3
    02

    Design and architecture

    We design the integration approach, data flow, compliance controls, and business rule logic before writing a line of code. The spec is locked before the build starts.

  3. Weeks 4-12
    03

    Build, integrate, and QA

    Working automation at a staging environment by the end of sprint one. Bi-weekly demos. Integration with your core banking, payment, or CRM system is scoped and tested throughout.

  4. Weeks 12+
    04

    Launch and post-launch support

    Production deployment with monitoring activated on launch day. 8 weeks of post-launch support included in every project. Exception queues and alerting are configured before handoff.

Why us

Why fintech teams choose RaftLabs

  • 01
    Senior engineers build what they scope

    The engineers who assess your automation problem also build the solution. No bait-and-switch, no offshore handoff after the contract is signed.

  • 02
    Fixed price before development starts

    We scope the work, calculate the cost, and lock it in writing before any development starts. A scope change is a change request: priced, agreed, or dropped.

  • 03
    9 years and 100+ products shipped

    Clients include Vodafone, T-Mobile, Aldi, Nike, Cisco, and Lockheed Martin. Track record across AI, SaaS, mobile, and automation platforms in fintech, healthcare, logistics, and hospitality.

  • 04
    Compliance built in from the start

    FCA, CBI, MAS, ASIC, DORA, PSD2, GDPR, and SOC 2 Type II requirements are scoped in week 1, not retrofitted before launch. Every project ships with a compliance documentation package.

  • 05
    Automation ROI modeled before the project starts

    We model the ROI case using your actual application volumes, labor costs, and error rates before you commit. Most clients recover the full project cost within 6 months.

Which financial workflow is costing your team the most time right now?

Tell us the workflow, your current systems, and the compliance requirements. We'll tell you how we'd automate it and what it costs.

Fintech Automation Services, scoped in one call.

Tell us what's broken. Within one business day you get a straight take on cost, timeline, and the right first step. No deck, no pressure.

Stay on topic

More on fintech

Frequently asked questions

We build automation systems for fintech companies under FCA (UK), CBI (Ireland), MAS (Singapore), ASIC (Australia), and EU regulatory frameworks including DORA, PSD2, and GDPR. Compliance requirements shape the architecture from the first design session: data residency requirements determine which cloud regions are permissible; audit trail requirements define log format and retention; operational resilience requirements define recovery time and recovery point objectives. SOC 2 Type II controls apply where the automation system processes customer financial data. We build to the architectural specifications your compliance team defines and deliver a compliance documentation package as part of every project.

KYC automation handles structured, rule-based checks for every applicant: document OCR, authenticity verification, liveness check, sanctions screening, PEP and adverse media checks, and credit bureau queries. Edge cases are identified by rule: unusual document formats, sanctions matches above the fuzzy-match threshold requiring human disambiguation, high-risk country of origin, complex corporate ownership structures, or applicants whose score lands at the boundary between automated approval and decline. Edge cases are routed to a manual review queue with all automated check results pre-populated. Most KYC automation programs achieve 60 to 80% straight-through processing for consumer applications in mature configurations.

Yes. Most fintech automation projects involve integrating with an existing system of record rather than replacing it. Modern cloud-native core banking platforms like Thought Machine and Mambu expose full REST APIs. Temenos Transact and Finacle expose APIs of varying quality depending on version and module configuration. Payment processors including Stripe, Adyen, and Braintree expose well-documented REST APIs and webhook event streams. We scope the integration during discovery by reviewing API documentation, testing against sandbox environments, and identifying data flows the automation requires.

A focused fintech automation system covering one workflow, such as KYC onboarding automation for a consumer lender with identity verification, sanctions screening, credit bureau queries, and straight-through approval with exception routing, typically runs $25,000 to $60,000 and delivers in 8 to 12 weeks. Multi-workflow automation platforms covering onboarding, transaction processing, reconciliation, and regulatory reporting run $60,000 to $150,000. Fraud detection using commercial scoring services runs $15,000 to $30,000; custom ML fraud models trained on your historical data run $30,000 to $70,000.

Work with us

Tell us what you need. We'll tell you what it would take.

We scope Fintech Automation Services in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.