🪪
KYC/KYB workflow automation
Document collection, reminders, status updates and case creation, without the manual chasing.
MoyoRiskOps · A Moyo Studio service for fintechs
Risk operations that scale without the headcount.
AI-assisted KYC/KYB, fraud and AML operations. Approve more good customers faster, lose less to fraud, and run review queues with smaller teams, without loosening your controls.
- ✓ 10+ years in fraud, KYC/KYB, IDV & AML operations
- ✓ Intuit · Equifax · Sendwave experience
- ✓ Agents recommend, humans decide
How MoyoRiskOps helps, explained simply
Financial-tech companies (apps that send money, lend money, or hold accounts) must follow strict rules. Today, a lot of that work is done by people clicking through screens one case at a time. It's slow, expensive, and mistakes slip through. We set up systems that do the repetitive parts automatically, so their team only looks at the cases that really need a human.
JobWhat it meansWhat we automate
Checking identity(KYC / KYB / IDV)Before someone opens an account, the company must prove the person, or business, is real and is who they say they are.The system checks the ID photo, selfie, name, address and date of birth against trusted databases and watch lists. Clear matches pass on their own. Only unclear ones go to a person.
Catching fraudSpotting stolen identities, fake accounts, and scammers before money is lost.Rules that flag warning signs, like many accounts from one phone, a new account sending lots of money fast, or a location that doesn't match. Each flag gets a risk score so the worst cases are reviewed first.
Following the rules(compliance / AML)Banking laws require companies to watch for money laundering, keep records, and report suspicious activity to the government.Review queues, checklists and case notes that build themselves, plus an automatic record of every decision, so the company is ready when regulators or auditors ask "show me."
Simple example: A money app gets 1,000 new sign-ups a day. Without automation, staff check all 1,000 by hand. With our setup, maybe 900 pass automatically, 90 get a quick review, and 10 risky ones get a full investigation. The company saves time and money, and catches more fraud.
Who it's for
Built for money-movement companies
Fintechs & neobanksMoney transmitters & remittanceBaaS programsLenders & BNPLPayments & payroll platformsMobile-money companies
Typical buyers: Head of Risk, Head of Compliance / BSA Officer, VP Operations, COO. Usually triggered by an audit finding, a fraud spike, a review backlog, or fast growth.
Clear prices
Diagnose → Build → Run
DRAFT PRICES: for Pierre to review before publishing
The Diagnostic fee is credited toward a Build signed within 30 days.
Service catalog
What we automate inside the packages
🗂️
Review-queue design
Routing, prioritization and SLA tracking so the riskiest cases are seen first.
🤖
AI review assistants
Case summaries, document checks, adverse-media triage and SAR narrative drafts, always human-approved.
🚨
Fraud alert triage
Reduce false positives so analysts spend time on real threats.
🔍
QA sampling & audit evidence
Automatic quality sampling and audit-ready evidence for sponsor banks and examiners.
📊
Risk & ops dashboards
Manual review rate, handle time, backlog, approval and false-positive rates in one view.
📈
Onboarding funnel conversion
Application-flow fixes and drop-off analytics so more good customers finish signing up.
How we deliver
A safe, gated process. Nothing ships untested.
- 1
Discover
Process map and KPI baseline, signed off by you.
- 2
Design
What is rules, what is AI, what stays human.
- 3
Build in sandbox
On your own accounts, peer-reviewed.
- 4
Backtest
Run against historical, already-decided cases.
- 5
Shadow mode
2 weeks live next to your team, taking no actions.
- 6
Staged rollout
10% → 50% → 100% of volume, with no SLA or loss regression.
- 7
Handoff
Runbook, documentation and team training.
- 8
Run
Monitoring, monthly tuning and KPI reviews.
Security & trust
Your data stays yours
🏦 Data stays in your systems
We work inside your accounts. We don't store your customers' PII.
🔐 Least privilege
Sandbox → read-only → scoped write, each step approved by you in writing.
🧠 Zero-retention AI
AI on zero-data-retention or your own model accounts. Never consumer AI tools.
⚖️ Agents recommend, humans decide
No agent declines, closes accounts, holds funds or files a SAR. Ever.
🧾 Full audit log
Every output logged with inputs, model and prompt version, and the reviewer's decision.
Free tool
Manual Review Cost Calculator
Current annual review cost
$480,000
Estimated annual savings
$96,000
Illustrative estimate only, not a promise. The real share depends on your volumes, vendors and policies; the Diagnostic measures it from your own data.
Validate this in a discovery callLet's talk
Book a 30-min discovery call
Come with five numbers
- Monthly applications or alerts
- % reviewed manually
- Average handle time
- Review headcount
- Approval or drop-off rate