AI-native operations for underwriting, onboarding, AML, and compliance across the full banking lifecycle.
ArqBanker is an AI-native operations layer for banking institutions that automates the high-volume, high-stakes workflows where speed and accuracy matter most: underwriting, customer onboarding, AML surveillance, and regulatory compliance reporting. It connects to core banking systems, credit bureaus, identity verification providers, and regulatory frameworks already in use, and adds AI-orchestrated agent workflows on top of them.
Built for: Retail banks, credit unions, digital lenders, neo-banks, and insurance carriers
Typically owned by: Chief Risk Officer and Chief Compliance Officer; Head of Retail Banking and Head of Digital Lending; VP of Financial Crime and Director of AML; Head of Operations and Chief Digital Officer.
Banks face compounding operational pressure: loan volumes that require manual underwriting at a pace human teams cannot sustain, KYC processes that take days when customers expect minutes, AML monitoring that generates enormous alert volumes with high false-positive rates, and regulatory reporting that consumes compliance bandwidth every quarter — each managed in isolation across the institution.
ArqBanker brings AI agents into each workflow with governance designed in from the start. Underwriting decisions carry explainable reasoning. Onboarding steps are orchestrated in sequence without manual handoffs. AML surveillance runs continuously with pattern reasoning rather than static rule hits. Regulatory submissions compile from structured evidence already captured during the operating cycle.
A reusable workflow spine, tuned to your data, systems, and controls — not a generic model wrapper.
Automates credit decisioning using structured financial data, alternative signals, and live bureau feeds. Every decision carries an explainable scoring rationale that satisfies regulatory review and supports appeal.
Orchestrates document extraction, identity verification, risk classification, and compliance checks in sequence — compressing onboarding from days to minutes without reducing regulatory thoroughness.
Continuous transaction monitoring with LLM-powered pattern reasoning that distinguishes true anomalies from the false-positive noise that buries analysts. Every flagged case carries its reasoning chain and evidence.
Compiles, validates, and formats regulatory submissions with evidence captured continuously during the operating cycle. Compliance teams review structured outputs rather than assembling reports from raw data.
Dynamic risk models incorporating bureau data alongside alternative signals — payment behavior, cash flow patterns, sector indicators — updating continuously and calibrating against realized performance.
Extracts, classifies, and validates structured information from loan applications, financial statements, identity documents, and collateral records — feeding clean data into downstream workflows without manual entry.
Every agent action carries the trigger, the reasoning, the inputs, and the outcome in an encrypted, persistent audit trail. No black boxes.
An orchestration agent manages workflow sequencing across underwriting, onboarding, and compliance functions. Specialist agents handle document extraction, bureau data interpretation, identity verification orchestration, and regulatory framework formatting.
All agents write to a shared audit log capturing the trigger, data inputs, reasoning, and outcome for every decision. This audit trail is the compliance evidence record, not a reporting afterthought. A risk governance layer enforces decision boundaries and escalation thresholds configurable per institution.
Accelerators move fastest when the first release is narrow, measurable, and connected to the people who own the work.
Connect core banking, credit bureau feeds, and identity verification providers; map existing workflows against agent deployment targets.
Deploy the underwriting and document intelligence agents on sampled application volume alongside the existing process; validate accuracy and explainability.
Expand to KYC and onboarding automation; begin AML surveillance on the live transaction monitoring feed.
Add the regulatory reporting agent to the active compliance cycle; calibrate credit risk scoring against realized performance.
Compress underwriting from days to minutes for standard credit profiles, with explainable rationale on every decision.
Orchestrate KYC end to end — document extraction, identity verification, risk classification — without manual handoffs.
Cut AML false positives with pattern reasoning and give analysts cases that arrive with evidence assembled.
ArqBanker connects to the core banking systems, credit bureaus, identity providers, and regulatory frameworks already in use — AI-orchestrated agent workflows on top of your stack, not a core replacement.
A two-week diagnostic of underwriting cycle times, onboarding drop-off rates, AML false-positive rates, and regulatory reporting preparation hours. Delivers a quantified efficiency gap analysis and a prioritized ArqBanker module deployment sequence.
Book itArqBanker is an AI-native banking operations accelerator that automates underwriting, KYC onboarding, AML and fraud surveillance, and regulatory reporting. It layers AI agent workflows on top of the core banking systems, bureaus, and identity providers a bank already uses.
Yes. Every underwriting decision carries an explainable scoring rationale, and every agent action is logged with its trigger, data inputs, reasoning, and outcome. The audit trail is the compliance evidence record, designed to satisfy regulatory explainability requirements and support customer appeals.
Retail banks, credit unions, digital lenders, neo-banks, and insurance carriers — typically owned by the Chief Risk Officer, Chief Compliance Officer, Head of Digital Lending, or VP of Financial Crime.
No. ArqBanker connects to core platforms like Temenos, Fiserv, FIS, nCino, and Finacle and orchestrates AI agent workflows on top of them. It is an operations layer, not a core replacement.
