Analysts are the integration layer
Onboarding checks, credit reviews and alert triage move between systems because a person carries them. Volume grows, headcount doesn't, and turnaround times slip.
Every new corridor, product and regulator adds work that has to be built, evidenced and operated — onboarding checks, screening rules, decisioning logic, reconciliation, audit trails. 10decoders builds those regulated workflows and keeps running them, for mid-market banks, lenders, payment providers and wealth platforms.
ISO 27001 · ISO 9001 · Delivery pods across US, India, Singapore
Trusted by leading enterprises and healthcare teams
They're the part that decides whether anything else on it ships this year.
Onboarding checks, credit reviews and alert triage move between systems because a person carries them. Volume grows, headcount doesn't, and turnaround times slip.
Rules tuned once and never revisited flood the queue. Analysts clear alerts instead of investigating them, and genuine risk gets the same four minutes as a name collision.
Oracle Forms, PowerBuilder, mainframe batch and a data warehouse the reporting team is afraid of. Every product change becomes a negotiation with a system built for a different decade.
A new PSP, bureau, card processor or bank rail takes a quarter because there's no connector layer — just point-to-point code written by whoever was free.
A model that works in a notebook can't explain a decision, log an override or pass an audit. So it stays a demo, and the manual process it was meant to replace stays too.
The workflow works. Producing the trail an auditor or regulator will accept — who decided, on what data, under which rule version — takes weeks of reconstruction.
Not a capability list. These are workflows we have built, deployed and kept running in production environments with real regulatory exposure.
Identity verification without the drop-off
Financial crime detection that analysts trust
Origination through to servicing
Cloud-native banking services
Movement of money, and the reconciliation after
Recognise, assess and evidence
Seven engagements across lending, payments, cards, compliance and wealth. Client names withheld under NDA — available on a call under mutual disclosure.
An AI-driven decisioning engine handling risk scoring, credit checks and eligibility, with Salesforce migrated in to carry the workflow. Approvals and compliance checks automated end to end.
A secure, scalable payment platform that automates merchant registration, keeps profile data consistent across systems, and gives teams granular permissions over transaction visibility.
Real-time card issuance, automated spend rules for expense categorisation, AI fraud detection, and ERP integration so reconciliation stops being a month-end event.
Credit limit increase requests were handled by hand across several systems. We built an AI-assisted RPA workflow that validates the customer, pulls the bureau score, checks repayment eligibility and auto-approves the clear cases — with every step logged.
Real-time screening against sanctions, PEP and adverse media lists at onboarding, then continuous monitoring after. Verification flows built per jurisdiction, and a rule system analysts can actually tune — so false positives come down instead of accumulating.
A global asset manager's client insight sat in disconnected custodial and CRM systems. We built the ingestion and portfolio analysis engine underneath it, then personalised recommendation models on top — with explainable AI so compliance could sign off.
Paper receipts meant no digital record and a fragmented customer experience. We integrated with the core exchange system to generate a receipt per transaction, delivered by in-app push for app users and a secure deep link by email for everyone else — cutting paper handling and pulling more customers into the mobile app.
We bring working software to the first sprint. Model-agnostic by design — no hyperscaler subsidy steering the architecture, and nothing that locks your workflow to a single vendor's roadmap.
Model-agnostic AI orchestration with a Rapid Agent Builder framework. Agents for decisioning, alert triage and case handling — built with the evaluation harness, access control and audit trail in place from the first sprint, not retrofitted for the compliance review.
Deploys in your cloud, your VPC, or fully isolated
Screening and ongoing monitoring against sanctions, PEP and adverse media lists, with a rule system built for the people who work the queue. Jurisdiction-specific verification flows, so a single programme can cover several regulators.
Case management and evidence trail included
Document intelligence for the paperwork financial services runs on — statements, KYB files, loan packets, invoices and contracts. Fields, tables and clauses come out as structured data, with confidence scoring and an exception queue so nothing auto-approves silently.
Confidence scoring and exception queues by default
Migration accelerators for PowerBuilder, Oracle Forms, MS Access and mainframe applications, plus vortexFlow — our integration accelerator with pre-built connectors — so a new bureau, PSP or card processor is a configuration, not a quarter.
Agent-accelerated inventory, mapping and test generation
Fit-gap assessment of current systems against industry standard models, run as a workshop with your stakeholders in the room.
TOGAF · ARC · AIM42 · ISO
Hybrid cloud and cloud-native environments, with security and data residency treated as design inputs rather than late constraints.
AWS · Azure · Google Cloud · CNCF
Data platforms that let innovation and the existing warehouse coexist, so reporting keeps working while the new stack proves itself.
Spark · Databricks · Glue · Redshift
A consistent data, cloud and analytics strategy under the models — the part that decides whether a pilot reaches production.
Model-agnostic · NLP frameworks
Connector-led integration across internal systems and external partners, replacing point-to-point code with something maintainable.
WSO2 · Apache Camel · vortexFlow
No 50-page proposals. We meet your real maturity, prove value in a contained pilot, then scale what works.
We sit with your stakeholders, run a fit-gap against industry standard models, and pin down scope, data reality and regulatory constraints — so effort goes where it pays.
One workflow, contained scope, real data. We build the agents, the data foundation and the evidence trail, deploy it, then measure against numbers you set before we started.
Production pipelines, ongoing AI Ops and a trust layer. We keep operating what we built, so the workflow compounds instead of stalling after the demo.
The pilot is paid, and the fee is credited in fullagainst the programme that follows. If the numbers don't land, you have a working assessment of your data and workflow, and no obligation to continue.
Book a scoping callNo 50-page proposals. We'll tell you which level fits your situation, what a realistic engagement looks like, and what it would cost — in one direct meeting.

Thomas leads 10decoders' AI engineering practice and sits in on the scoping call himself — so the person mapping your engagement is the one who has shipped it before. His teams build and deploy agents for mid-market healthcare and fintech companies, with enterprise grade build experience for clients like IBM, Dedalus and Harris Healthcare. He'll be straight with you about what's worth doing and what isn't.
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