For CTOs, Heads of IT & Transformation
Add an AI assurance layer to your trade stack. Don’t replace it.
Trade AI runs on-premises, in your private cloud or hybrid — and extends Finastra, Temenos, CGI and Iron Mountain rather than ripping them out.
Trade decision logic is scattered across core platforms, checking tools, spreadsheets and inboxes. Consolidating it usually means a core replacement programme nobody has the appetite for. Trade AI takes a different route: it sits above the systems you already run, standardises the decision logic, and keeps every outcome traceable to its source.
30 minutes, online · No preparation needed · Your systems, your scenarios
Conpend in numbers
- 40+global banking organisations trust in Conpend
- 50M+automated trade finance checks every year
- 10+years supporting global trade finance
Trusted by leading organisations in global trade finance
- BNP Paribas
- ING
- UniCredit
- Commerzbank
- Santander
- Belfius
- Danske Bank
- Maybank
- Intesa Sanpaolo
- BankABC
The integration problem
The assurance gap isn’t a missing product. It’s a missing layer.
Trade AI is built to meet the infrastructure, security and governance standards expected inside regulated financial institutions. That matters, because four constraints usually decide whether a trade automation project ever reaches production.
Trade logic is spread across systems
Trade data moves between multiple platforms, email threads and manual review steps, so the same decision is made differently depending on which tool and which desk handled it.
Core replacement is off the table
The business case for a rip-and-replace of the core trade platform rarely survives contact with the transformation portfolio. Anything new has to extend what is already there.
Security review is the long pole
Data residency, access control, segregation of duties and vendor certification decide the timeline — not the functional fit.
Decisions must stay explainable long after processing
In regulated financial environments, an outcome has to be reconstructable years later. A model that cannot show its working creates a governance liability, not an efficiency gain.
Trade AI is designed for exactly those constraints: extend, don’t replace; deploy where the data has to live; and make every outcome traceable by default.
Architecture
An assurance layer above your trade stack.
Trade AI supports on-premises and cloud deployments, integrates with established trade platforms, and aligns with banking security policies, data residency requirements and enterprise architecture standards.
01
Ingest from your existing channels
Documents and trade data arrive from the systems and channels you already run. No new front door for the business to learn.
02
Structure and standardise
Unstructured documents become structured trade data, and scattered checking logic becomes one consistent, versioned rule set.
03
Decide with rules, models and data
With the right training, Trade AI can achieve accuracy levels exceeding 90%, combining structured rules, large language models and trusted external data sources — with low-confidence cases routed to a person.
04
Write back with full lineage
Outcomes, evidence and audit records return to your platforms of record, each one traceable to the source document, extracted field and rule applied.
What your security review will want to see
- On-premises, private cloud or hybrid deployment
- ISO 27001:2017 information security management
- Role-based access control and segregation of duties across operations, compliance and risk
- Registered with the Global Legal Entity Identifier system (GLEIF)
- Integration with Finastra, CGI, Iron Mountain and Temenos
- Secure, audit-ready reporting and full decision lineage
What a first session gives you
- Trade AI against your own documents and control rules — not a canned demo dataset.
- A deployment answer for your environment: on-premises, private cloud or hybrid.
- Where the platform sits against your security requirements — Conpend holds ISO 27001:2017 certification.
What it means for IT
A layer you can add, govern and defend.
01
Extends rather than replaces
Trade AI is designed to extend existing systems, letting you introduce advanced trade decision capabilities without disrupting core trade processing environments.
02
Enterprise-grade data handling
Secure, controlled data handling aligned with banking governance frameworks: ISO 27001:2017, role-based permissions and segregation of duties across teams.
03
Traceability by design
Each outcome traces back to underlying source documents, extracted data and applied rules — for audit reviews, regulatory enquiries and compliance investigations.
Proof
Built for regulated banking environments.
“Trade AI has strengthened compliance control while helping us create smoother, more reliable trade finance processes.”
Recognition & certification
- GTR Leaders in Trade 2026 — shortlisted
- IBS Intelligence Global Innovation Award
- ISO 27001:2017
- GLEIF LEI registered
Integrations & platform partners
- Finastra
- Temenos
- CGI
- Iron Mountain
- Surecomp
Screening & intelligence sources
- OFAC, EU & UN lists
- Dow Jones
- Refinitiv
- LexisNexis
- Lloyd’s List Intelligence
- S&P Global
- MarineTraffic
- LEI databases
What technology leaders push back on
Straight answers to the architecture questions.
“Our data cannot leave our infrastructure.”
Then it doesn’t. Trade AI supports on-premises, private cloud and hybrid deployment, and is designed to align with banking security policies, data residency requirements and enterprise architecture standards. The deployment model is a conversation on the first call, not a discovery finding six months in.
“How much integration work does this actually land on my team?”
Trade AI integrates with established trade platforms and infrastructure including Finastra, CGI, Iron Mountain and Temenos, and is built to extend those systems rather than replace them. Bring your integration architect to the review and we will walk the interfaces specific to your stack rather than a generic diagram.
“We have a model governance policy. How do we govern an LLM?”
Trade AI is not a single opaque model. Outcomes come from structured rules, large language models and trusted external data sources working together and, with the right training, can achieve accuracy levels exceeding 90%. Critically, every outcome traces to the document, field and rule behind it, and low-confidence cases route to a human rather than being auto-approved — which is what makes the decision governable.
“Vendor risk. Who are Conpend?”
A specialist trade finance platform with over a decade supporting global trade finance. More than 40 global banking organisations trust in Conpend, and the platform runs over 50 million automated trade finance checks every year. ISO 27001:2017 certified, GLEIF LEI registered (LEI-72450003PQJAIXUI4X36), shortlisted for the GTR Leaders in Trade Awards 2026 and recognised with an IBS Intelligence Global Innovation Award.
“We are mid-way through a wider transformation programme.”
That is usually an argument for an assurance layer rather than against it. Because Trade AI extends existing systems, it can go in against the platform you run today and stay in place when the core underneath it changes.
FAQ
Before you book
On-premises, private cloud or hybrid. Trade AI is designed to align with banking security policies, data residency requirements and enterprise architecture standards.
Established trade platforms and infrastructure including Finastra, CGI, Iron Mountain and Temenos. Conpend also works with Surecomp, complementing its trade finance solutions with AI-driven assurance and document intelligence. The platform is designed to extend existing systems rather than replace them.
Through role-based permissions, with segregation of duties across operational and compliance teams, and secure audit-ready reporting.
With the right training, Trade AI can achieve accuracy levels exceeding 90%, through structured rules, large language models and trusted data sources. Complex judgement decisions, high-risk investigations and final sign-off remain with your specialists, and low-confidence cases are routed rather than auto-approved.
Thirty minutes, online, with people who can answer architecture questions properly. Bring your integration architect or security lead. We cover deployment model, interfaces to your stack, data flows and decision lineage. No preparation needed.
Book your review
Walk the architecture with someone who can answer.
Thirty minutes, online. Bring your integration architect or security lead — the session is built for technical questions, not a product tour.
What the 30 minutes covers
- Deployment model against your data residency requirements
- Interfaces to your specific trade platform and document systems
- Decision lineage: how an outcome is reconstructed years later
- What your security and model governance review will need from us
Online, 30 minutes, one calendar step.
Prefer email? sales@conpend.com ·
+31 20 820 20 07