KYB verification, EDD, transaction monitoring, alert triage, and SAR drafting run autonomously in your own Azure or AWS tenant. Your analysts review and approve. Nothing is exported, nothing is uploaded.
audit-ready · no customer data leaves your environment
76% of US organisations faced attempted or actual payments fraud in 2025. Only 17% use AI against it..
AFP 2026 Payments Fraud and Control Survey, January 2026
Fraud now costs US businesses 9.8% of revenue, up 46% year on year..
TransUnion H2 2025 Global Fraud Report, 2025
ONBOARD / VERIFY
Depth of check degrades quietly as throughput rises, and that degradation is what gets penalised.
The problem
Verifying corporate structure, directors, and ultimate beneficial owners means working registries that don't talk to each other, then layering adverse media, source of funds, and PEP checks on top. Nobody decides to check less carefully at volume. It happens anyway, which is why the enforcement pattern tracks growth rate rather than fraud losses.
What ProSyft does
Co-Analyst ingests corporate documentation, runs multi-source checks across registries, adverse media, sanctions, and PEP data, resolves ownership and control, and assembles an audit-ready KYB record inside your environment.
Outcome
Verification depth stops depending on queue length.
Volume is the win, compliance the cost of servicing it. Enforcement reads it differently: firms get penalised for the gap between how fast they scaled and how fast their controls did.
The bar is no longer having a fraud model. It is proving one on demand. FinCEN's $37 million penalty against a money transmitter in 2025 turned on program quality and unfiled SARs, not undetected fraud. (FinCEN press release, 6 February 2025) Proposed GENIUS Act rules extend that expectation further still. (Federal Register, Notice of Proposed Rulemaking, 10 April 2026)
Want to scale onboarding without scaling headcount?
Accepted wisdom says you accept thinner checks at volume.
Not with ProSyft. Co-Analyst resolves structures, directors, and UBOs against registries, sanctions lists, and PEP data on every entity, to the same standard every time.
Want a fraud model you can defend?
Accepted wisdom says buy a more sophisticated model.
Not with ProSyft. A better model on the same fragmented data produces confidently wrong answers faster. Co-Analyst orchestrates across your fraud, AML, and case management systems so decisions run on connected data with lineage attached.
Want real-time monitoring?
Accepted wisdom says a vendor has to hold your transaction data.
Not with ProSyft. Co-Analyst runs inside your own tenant. No customer or transaction data leaves your environment at any point.
EVIE™, your private orchestration engine, deploys inside your environment and runs compliance workflows autonomously. Your team checks rather than drives.
Native connection to your KYC provider, payment processor, case management system, and Databricks. No export, no upload.
KYB records, EDD files, SAR drafts, and submissions in Word, Excel, or PDF, every output cited to source.
EVIE™ resolves ownership, enriches flagged transactions, and cross-checks registries and screening sources.
Your Azure tenant or on-premise, human-in-the-loop approval at every stage, audit logs retained locally.
Work that took analyst days runs in minutes.
Every output cited to source. No fabricated structures, no unverified UBOs.
A documented, defensible decision on every flagged transaction.
Compliance cost stops tracking customer growth.
Customer and transaction data never leaves your environment.
Live in weeks, with native connectors to your stack.
Days to deploy, minimal governance, vendor-side data custody, unmanaged hallucination risk. Compliance stops these at the pilot.
Eight to sixteen weeks, high cost, variable governance, shared data custody. Typically shelf-ware within six months.
Six to twelve months to first workflow, highest total cost, permanent maintenance obligation.
Two to four weeks pilot to production. Full audit trail, hallucination contained, data custody stays with you.
The control of a self-build, the speed of off-the-shelf, behind your firewall.
One.io, a UK-regulated payments services provider under FCA authorisation, deployed Co-Analyst inside its own environment to automate FCA EDD regulatory gap analysis, live since May 2026. Gap identification is now delivered in minutes rather than days, and the manual review cycle was eliminated.
RAFI Microfinance Inc., a regulated microfinance institution serving 2.6M clients across 323 branches and 443,315 active loan accounts, has run Co-Analyst inside its own infrastructure since May 2025. The red-flag reporting cycle on its core fraud monitoring workflow moved from 24.5 hours to around 5 minutes, a 99% time reduction, delivering £112K in high-confidence validated savings in Phase 1 of the fraud red-flag workstream. Total annual value across all workstreams is estimated at £239K to £404K, conservative to optimistic.
The architecture that monitors fraud across 443,315 active accounts is the same architecture a payments provider needs across a large merchant book carrying real-time monitoring and SAR obligations.
AFP 2026 Payments Fraud and Control Survey, January 2026. Association for Financial Professionals. Tier 1, industry association primary survey.View source
TransUnion H2 2025 Global Fraud Report. Tier 1, primary company research.View source
Federal Register, Notice of Proposed Rulemaking, 10 April 2026: Permitted Payment Stablecoin Issuer AML/CFT. Tier 1, primary US regulator.View source
FinCEN press release, 6 February 2025: $37,000,000 civil money penalty against Brink's Global Services USA. Tier 1, primary regulator.View source
Juniper Research, 27 October 2025: fraud detection and prevention spending. Tier 1, analyst firm.View source
Let's map your highest-cost compliance workflow and quantify the recoverable hours, using your data, in your environment.