ARGOS Omni is a Review Ops Agent for document and data review. Describe your criteria in plain language — Omni checks documents, extracts and cross-checks data, and returns a decision of approval, rejection or human review, with the evidence recorded.
Business onboarding · Corporate telecom applications · Insurance claims · Vendor onboarding
"Onboard a Korean business: extract data from the registration certificate, validate the registration number with checksum, cross-check the representative's ID, and screen the company against sanctions lists. Auto-approve when everything matches."
Omni in numbers
AI agent automation
Setup time — from policy to production
Custom workflow designs
TCO improvement per verification
The challenge
Operations teams move faster than engineering cycles. Every policy update becomes a development sprint, and every exception drives operating costs up.
Operational complexity stacks with every policy change
Every rule change repeats the dev cycle — and risk and cost climb in the meantime.
Growing exception handling load
Exception handling drives operating costs up, and users walk away in the meantime.
Delayed response to regulatory changes
Regulatory updates introduce delays — and the next change lands before the last one ships.
How Omni works
AI workforce for Identity — translates business language into running workflows and executes them automatically. Every step is delivered with a full audit log.
Input
Business language
Compliance teams describe policies in plain English — no coding required.
# KYB onboarding extract from BRC validate registration # cross-check representative ID screen sanctions DB
Core
AI Policy Generator
& Workflow Engine
Translates natural language into executable workflows. Selects the right agents.
Execution
AI Agents
Output
Executed policy · Audit logged · System self-growth
Every run improves accuracy for the next one.
Key features
Design and run AI workflows without engineering support. Compliance teams ship changes in minutes.
Connect ID check, document AI, sanctions screening, and third-party data sources into one automated workflow.
Deliver consistent analysis through rule-based execution. Every case is judged against the same policy graph.
Generate structured reports automatically from workflow results. Ready for auditors and regulators.
Start quickly with ready-to-use workflow templates for KYC, KYB, AML, and industry-specific policies.
Record execution history for complete traceability. Every agent decision is explainable and replayable.
Industries & Use Cases
01
AI Agent comprehensively evaluates KYC, POA, and AML for international transfers, sending only high-risk cases to manual review.
02
Integrate KYC, on-chain risk, transaction patterns, and device data to automatically allow, delay, or block withdrawals based on policy.
03
Evaluate KYC, income, transaction history, and device data to automatically determine account risk levels and required actions.
04
Combine device fingerprint, IP, location, and behavior to quickly pass normal users while reducing bot and RMT risks.
05
Comprehensively evaluate creditworthiness and behavior patterns to propose approve / reject decisions with appropriate limits.
06
Use seller info, transaction history, reviews, and sanctions lists to automatically determine risk level and additional verification needs.
07
Automate partner onboarding, high-value shipment policies, and route anomaly detection based on delivery patterns and risk levels.
08
Evaluate driver and partner profiles and activity patterns to automatically apply approval, hold, or restriction policies.
09
Assess patient profiles, insurance claims, and provider credentials to detect anomalies and automate eligibility verification workflows.
10
Protect online exams with behavior monitoring, verify student and instructor profiles, and detect suspicious payments or activity.
11
Automate subsidy and benefit screening, detect duplicate or fraudulent requests, and manage policy-based access control.
We design policies and verification flows tailored to your case.
Document review work you can automate with AI
What is a Review Ops Agent? →Data model
Omni organizes analysis workflows through a clear hierarchy, so teams can scope, segment, and scale without losing control of the big picture.
Getting started
Define analysis policies, select engines, configure output.
Documents, images, URLs and other workflow inputs are organized and stored automatically.
One click — Omni runs the playbook and the agents deliver the results you need.
Structured outputs and reports — item status and detailed analysis.
Adjust policies, rerun instantly — accuracy improves continuously.
Integration Flow
Design policies and workflows in the dashboard, send data from your backend, and Omni recursively orchestrates analysis — calling external engines through MCP when needed. Results stream back to both your backend and dashboard.
Common questions from teams evaluating a Review Ops Agent. Costs and rollout are agreed with our sales team.
ARGOS Omni is a Review Ops Agent that reviews documents and data and decides each case. Write your review criteria in plain language; Omni turns them into a playbook, checks the submitted documents, extracts data, cross-checks it against other documents and external sources such as AML watchlists, and returns verified, rejected or pending_review (needs human review). Every field in the result carries the reasoning behind it.
Any work where people check documents and data and make a decision. Examples include business customer onboarding (KYB), corporate telecom subscription review, insurance claim review, vendor onboarding and AML review.
No code is needed. Write your criteria as sentences in the dashboard; Omni builds the playbook and assigns the engine each step needs automatically. You can also attach the internal policy documents the criteria are based on.
Each case returns a verdict — verified, rejected or pending_review — plus JSON data in the structure you define. Every field includes its value, the reasoning and the step that produced it. View it on the dashboard report, download it as a PDF, or fetch it through the API.
PDF, DOCX, XLSX, PPTX, images (JPG, PNG, WEBP, TIFF and more), TXT, Markdown, CSV, HTML and EML. Uploads are capped at 100MB in total per case (profile).
If any review step needs a human check, the case is marked pending_review and goes to your reviewers. A case is verified when every step passes and rejected when any step fails.
ID Check verifies that a person is who they claim to be, using their ID and face. Omni reviews the other documents and data in a case against your own criteria and decides it. The two can be used together.
Omni uses credits, deducted for keeping a workflow available (daily), handling API requests, and calling external engines during an analysis. You can start right away with a trial project after signing up; our sales team handles conversion to a paid plan and credit top-ups.
Sales
Tell us which reviews your team does by hand today and the criteria behind them, and we will set up a test project with those criteria.
Every deployment starts with a 20-minute meeting. Share the policies and plans that shift with your business and the operating model you need — we'll deliver an agent orchestration that fits.
