Queues keep growing
Backlogs pull your best people into repetitive work.
RISK OPERATIONS, REIMAGINED
Cut the cost of customer checks and fraud reviews.
We automate the repetitive work in KYC/KYB, fraud and AML reviews—so your team can approve good customers faster and focus on real risk.
Built in your systems. People stay in control.
THE WORKFLOW, NOT THE WORKLOAD
Your review queue
Customer checks · fraud · AML
MoyoRiskOps
Gather → summarize → prioritize
Your team makes the call
Clear evidence. Human judgment.
Less manual workMore control
Illustrative workflow · not a client dashboard
Built on hands-on experience
✓ Intuit · Equifax · Sendwave experience
Experience, not an endorsement or client list.
THE PROBLEM
More volume shouldn’t mean more overhead.
Too many false alarms
Analysts spend time proving that good customers are good.
Review costs add up
More checks often mean more hiring or overtime.
Good customers wait
Slow onboarding can turn applicants into drop-offs.
HOW IT WORKS
From review queue to a better way to work.
One workflow at a time. Clear gates before anything goes live.
Find the expensive friction
Map your process and measure where time, money and good customers are being lost.
Discover + design
Build it. Prove it safely.
Build in your sandbox, backtest on past cases, then run alongside your team in shadow mode.
Sandbox + backtest + shadow mode
Roll out with control
Start small. Expand only after your gates are met. Get a runbook, training and a clear handoff.
Staged rollout + handoff
THE BUSINESS CASE
What is manual review costing you?
Start with your numbers. See the working assumptions—not a made-up success story.
Your review operation
All costs in USDA false positive is an alert that turns out not to be a risk. It still takes time to review.
Build comparison: US range of $15,000–60,000 regardless of selected market. CI prices remain indicative.
What we assume · see the math
An illustrative 20% reduction in total handling time through preparation automation across all reviews, plus a 10% reduction in the remaining time for false-positive cases. These are modeling assumptions, not measured results.
Hours saved = reviews × minutes ÷ 60 × [0.20 + (0.80 × false-positive share × 0.10)]. Dollar capacity = hours saved × hourly cost. Simple payback = Build investment ÷ monthly capacity.
ILLUSTRATIVE MONTHLY CAPACITY
in potential review capacity / month
hours freed / month
simple Build payback
Current review cost / month
Illustrative estimate; results vary. Capacity freed is not guaranteed cash savings. Excludes software, implementation overhead and ongoing Run fees, fraud losses and revenue gains. Actual payback may be longer.
Validate the opportunity with us ↗WHERE WE HELP
Less chasing. More judgment.
For fintechs, money transmitters, BaaS programs, lenders / BNPL and payments companies. US-first, with Francophone West Africa to follow.
KYC / KYB onboarding
Collect documents, check completeness and prepare a clear case summary. Give reviewers the evidence they need, without switching between screens.
Less rework. Faster customer checks.
Fraud alert triage
Bring signals together, prioritize risk and draft investigation notes. Your analysts focus on the cases that deserve attention.
Less noise. More focus on real risk.
AML / transaction monitoring
Gather transaction context, organize evidence and draft review narratives for human approval. No automated regulatory filings.
Less evidence gathering. Better traceability.
Disputes / chargebacks
Assemble supporting evidence, track deadlines and draft response packs. Your team reviews the case and decides what to submit.
Less administration. More consistent casework.
A CLEAR ENGAGEMENT
Start with the numbers. Scale with evidence.
Choose your market
The Diagnose fee is credited toward a Build signed within 30 days.
CONTROL BY DESIGN
Automation that knows its boundaries.
Agents recommend, humans decide. We improve the work around the decision—not remove accountability from it.
People own the decisions
Your team approves sensitive actions. No agent declines customers, closes accounts, holds funds or files a SAR.
Shadow before live
Backtest first. Then run alongside your team without taking action. Expand only against agreed quality and risk gates.
Your systems. Your data.
Built inside your accounts, with least-privilege access. Your customers’ data stays in your systems, not in a separate MoyoRiskOps database.
An audit trail, not a black box
Keep evidence, model and prompt versions, recommendations and reviewer decisions together for review and audit.
GOOD QUESTIONS
Before we get started.
What do you actually build?
Workflows and AI review assistants inside your existing tools: document follow-ups, case summaries, alert prioritization, evidence packs and QA checks. The Diagnostic identifies which workflow is worth building first.
How does this save money?
By reducing repetitive handling time, rework and low-value review effort. Freed capacity can absorb growth or reduce overtime; it is not automatically a headcount or cash reduction. We measure the baseline and validate the opportunity against your cases.
Do you replace our analysts or compliance officer?
No. We remove repetitive tasks and prepare evidence. Your analysts, compliance officer and business retain decision authority and regulatory responsibility.
Do we need to replace our current tools?
Usually not. We design around your systems and policies. Access, integrations and vendor limitations are assessed during the Diagnostic before a Build scope is agreed.
How long until something is live?
Diagnose takes two weeks. A Build typically takes four to eight weeks, including sandbox development, historical backtests, shadow mode and staged rollout. Timing depends on your scope, access and approval gates.
Can you guarantee savings or compliance?
No. The calculator is illustrative, not a quote or a promise. Outcomes depend on your data, processes, policies and vendors. We agree measurable acceptance criteria; your compliance team remains responsible for regulatory decisions.
LET’S FIND YOUR FIRST WIN
Bring one expensive workflow. We’ll start there.
A 30-minute discovery call to understand your queue, your costs and where automation could help. No sensitive customer data needed.
A useful starting point
- Your monthly review / alert volume
- Average time spent on each case
- The workflow slowing your team down
Prefer email?
[email protected] ↗