From first document to signed off file,governed out of the box, with client data never leaving your tenant.
KYB onboarding, enhanced due diligence and investment due diligence run inside your own Azure or AWS tenant with a lineage record on every step. Missing and inconsistent documents are flagged the moment they arrive, so the loops between you and the client are resolved early, and your analysts review files that arrive with their evidence attached.
governed by design · no customer data leaves your tenant
ONBOARD / VERIFY
Business customers verified in minutes
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 a KYB record inside your environment in which every finding traces back to the source it came from.
- Outcome
- Verification depth stops depending on queue length.
The problem: growth is now your biggest enforcement risk.
Most of the delay in onboarding and diligence is the document loop between the firm and the client, where a missing or inconsistent document is discovered at review, sent back, and waited for. Volume is the win and that loop is the cost of servicing it, and depth of check degrades quietly as throughput rises. 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) Having a control is no longer enough; the bar is being able to show a regulator, on demand, how each decision was reached.
Does your data stay with you?
The usual assumption is that real-time monitoring means a vendor holds your transaction data.
Co-Analyst’s answer: it runs inside your own tenant, so no customer or transaction data leaves your environment at any point.
Can your solution show you its reasoning?
The usual assumption is that defending a fraud model means buying a more sophisticated one.
Co-Analyst’s answer: 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 every decision runs on connected data with lineage attached.
Who is accountable when it is wrong?
The usual assumption is that scaling onboarding means accepting thinner checks at volume.
Co-Analyst’s answer: it resolves structures, directors and UBOs against registries, sanctions lists and PEP data on every entity to the same standard every time, and anything that fails verification is routed to a named reviewer rather than passed through.
Can you control the cost?
The usual assumption is that running AI across every onboarding and diligence file means a bill that grows with client volume.
Co-Analyst’s answer: each step sees only the evidence it needs, so every run is bounded and diligence cost stops tracking client growth.
How it Works
EVIE™, the orchestration engine inside Co-Analyst, deploys inside your own tenant and runs onboarding and due diligence workflows end to end. Your team reviews governed outputs with the evidence attached, and anything that fails verification goes to a named reviewer.
Connect to your existing systems
Native connection to your KYC provider, payment processor, case management system, data rooms and Databricks, with no export and no upload.
Select and register the evidence
EVIE™ resolves ownership, enriches flagged transactions and cross-checks registries and screening sources, recording which evidence each step used and why.
Generate verified, hallucination-contained outputs
KYB records, EDD files, diligence records and submissions in Word, Excel or PDF, with every claim checked line by line against its source.
Review inside your perimeter
Your Azure tenant or on-premise, human-in-the-loop approval at every stage, a named reviewer for any exception, and audit logs retained locally.
Benefits
Sovereign
Customer and transaction data never leaves your tenant.
Verifiable
Every output is checked line by line against source, so there are no fabricated structures and no unverified UBOs.
Accountable
A documented, defensible decision on every flagged transaction, owned by a named person rather than a model.
Bounded
Each step sees only the evidence it needs, so the cost of every run is bounded and compliance cost stops tracking customer growth.
Speed
Work that took analyst days runs in minutes, with the first workflow live in weeks and native connectors to your stack.
Scale
Verification depth stops depending on queue length as client volume grows.
Four ways to automate onboarding and due diligence. Three cost you something you can't get back.
General-purpose AI assistants
Days to deploy, minimal governance, vendor-side data custody, unmanaged hallucination risk. Compliance stops these at the pilot.
Consultants and custom agents
Eight to sixteen weeks, high cost, variable governance, shared data custody. Typically shelf-ware within six months.
Building it yourself
Six to twelve months to first workflow, highest total cost, permanent maintenance obligation.
ProSyft Co-Analyst™
Deployed inside your own tenant with the first workflow live in weeks. Every claim traces to source, every output is verified line by line, a named reviewer stays accountable, and data custody never leaves you. The governance arrives with the software rather than being added afterwards.
The control of a self-build, the speed of off-the-shelf, governed out of the box, inside your own tenant.
KYB and EDD automation, UK payments
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.
- 01
AFP 2026 Payments Fraud and Control Survey, January 2026. Association for Financial Professionals. Tier 1, industry association primary survey.View source
- 02
TransUnion H2 2025 Global Fraud Report. Tier 1, primary company research.View source
- 03
Federal Register, Notice of Proposed Rulemaking, 10 April 2026: Permitted Payment Stablecoin Issuer AML/CFT. Tier 1, primary US regulator.View source
- 04
FinCEN press release, 6 February 2025: $37,000,000 civil money penalty against Brink's Global Services USA. Tier 1, primary regulator.View source
- 05
Financial Conduct Authority, "Private market valuation practices" multi-firm review, 5 March 2025, covering 36 firms. Tier 1, primary UK regulator.View source
Let’s map your highest cost compliance workflow and show you what governed AI looks like running inside your own environment, on your data.
- 01No data leaves your tenant.
- 02Every claim traces to source.
- 03A named reviewer stays accountable.
- 04Live in weeks.