From counterparty check to audit-ready compliance pack,governed out of the box, with transaction data never leaving your tenant.
Co-Analyst runs KYB verification, sanctions screening, document reconciliation, AML monitoring, and compliance pack assembly inside your own Azure or AWS tenant with a lineage record on every step. Your analysts approve outputs that arrive with their evidence attached, and nothing is exported or uploaded at any point.
governed by design · no transaction data leaves your tenant
The global trade finance gap held at $2.5 trillion in 2025, around 10% of world trade..
Asian Development Bank, 9th Global Trade Finance Gap Survey, 2025
36% of large corporates now use AI in trade and supply chain finance operations, up 18% year on year..
Citi, "Supply Chain Financing Report: Durable Global Trade in the Age of AI," 20 February 2026
Only 20% of AI-adopting firms apply it to compliance risk identification, against three-quarters using it for customs..
WTO and ICC joint survey of 158 firms, 11 December 2025
ONBOARD / VERIFY
Every party to the transaction checked, not just the applicant
The applicant gets full diligence. The counterparties behind them often get whatever time is left.
- The problem
- A single trade transaction can involve an applicant, a beneficiary, one or more intermediary banks, a freight forwarder, and an end buyer across three or more jurisdictions. Diligence effort concentrates on the party the relationship sits with, because that is who the file is named after. The exposure sits with everyone else.
- What ProSyft does
- Co-Analyst verifies corporate structure, directors, and ultimate beneficial owners for every named party, resolving ownership across registries and citing each link to source.
- Outcome
- Verification depth stops depending on which party the file is named after.
The problem: your screening programme increasingly runs on documents you never see.
Trade finance controls were built around documentary credit, where the bank examines the paperwork and the examination is the control. Most global trade now settles on open-account terms, so those documents never reach the bank at all. Screening collapses into clean payment screening: an instruction, with little underneath it to check the instruction against.
So the control everyone audits covers a shrinking share of the book, and the growing share carries the least evidence. That is not a gap you close by screening the same names faster.
And the cost base is moving the wrong way. 64% of firms already using AI for trade expect compliance costs to rise by 5% or more as regulatory requirements fragment across jurisdictions. (WTO and ICC joint survey of 158 firms, 11 December 2025)
Does your data stay with you?
The usual assumption is that screening at scale means a vendor holds your transaction data.
Co-Analyst’s answer: it deploys inside your own Azure or AWS tenant. Counterparty data, correspondent flows, and screening decisions never leave your environment.
Can your solution show you its reasoning?
The usual assumption is that AI decisions cannot be explained at examination.
Co-Analyst’s answer: every flag and every clearance carries lineage back to the document that produced it, so "why was this flagged and that one cleared" has a deterministic answer.
Who is accountable when it is wrong?
The usual assumption is that faster document examination means adding examiners.
Co-Analyst’s answer: it reconciles presented documents against each other and against the credit terms in minutes, and anything that fails verification is routed to a named reviewer. Examiner time goes to the discrepancies that need a decision.
Can you control the cost?
The usual assumption is that checking every document on every transaction means a bill that grows with deal volume.
Co-Analyst’s answer: each step sees only the evidence it needs, so every run is bounded and compliance cost stops tracking deal volume.
How it Works
EVIE™, the orchestration engine inside Co-Analyst, deploys inside your own tenant and runs trade compliance 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 trade processing platform, core banking system, sanctions databases, and document stores, with no export and no upload.
Select and register the evidence
EVIE™ reconciles presented documents, resolves ownership across parties, and cross-checks routes, cargo, and pricing against the credit terms, recording which evidence each step used and why.
Generate verified, hallucination-contained outputs
Compliance packs, screening records, discrepancy reports, and SAR drafts 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
Counterparty and transaction data never leaves your tenant.
Verifiable
Every flag is checked line by line against the document that produced it. No fabricated discrepancies, no unevidenced clearances.
Accountable
A complete audit pack per transaction with a named reviewer accountable for every determination, built for EU AI Act explainability and DORA rather than bolted on afterwards.
Bounded
Each step sees only the evidence it needs, so the cost of every run is bounded and compliance cost stops tracking transaction volume.
Speed
Compliance workflow processing that took analyst hours per transaction runs in minutes, with the first workflow live in weeks.
Scale
Transaction volume stops driving headcount.
Four ways to automate trade finance compliance. Three cost you something you can't get back.
General-purpose AI assistants
Days to deploy, minimal governance, vendor-side data custody. For correspondent banking and sanctions-sensitive data that is a non-starter, and a hallucinated discrepancy finding is indistinguishable from a real one at examination.
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, stacked on top of your existing compliance spend, with a 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.
One workflow. Measure it. Then expand on your terms.
No seat licences, no data charges, no renegotiation. Each new workflow is a single-line amendment to your existing agreement. You also get a named delivery lead for the full engagement, and a committed response time for any issue throughout.
Weeks 1 to 2: Discovery and scoping
We map your highest-cost compliance workflow, agree baseline metrics, and define deployment scope, integration points, and the sign-off pathway with your IT and compliance leads.
Weeks 3 to 6: Deployment
Co-Analyst deployed inside your Azure tenant, first workflow live, outputs validated against the baseline. No data leaves your environment at any stage.
Day 90: ROI validation
A joint report covering time saved, analyst hours recovered, and cost impact, which becomes the business case for the next workflow.
- 01
Asian Development Bank, 9th Global Trade Finance Gap Survey, 2025, covering 110+ providers. Multilateral development bank primary research; ADB's own page returned 403 on fetch, figure corroborated via Global Trade Review, 3 September 2025.View source
- 02
Citi, "Supply Chain Financing Report: Durable Global Trade in the Age of AI," 20 February 2026. Tier 1 institutional research. The 18% is a relative year-on-year increase, not a percentage-point gain.View source
- 03
WTO and ICC joint survey of 158 firms, published 11 December 2025. Multilateral institution primary research. Covers trade broadly including customs and logistics, not trade finance narrowly.View source
- 04
EY, "How technology is reducing trade finance risk and compliance costs," case example of a bank processing approximately 9 million trade transactions annually. Big Four research; the source page carries no publication date.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.