AML analysis in minutes, not hours.
Risk is scored by code, not AI. Full audit trail. With human oversight. Designed for GDPR and DORA requirements and the supervisory expectations of KNF, GIIF, EBA and FATF.
Invite-only access. Limited spots available.
Early Access version — indicative results, no SLA.
of AML alerts are false positives
an analyst must spend gathering information and conducting due diligence for a single alert
cost of manually handling a single false positive — it scales with every alert, regardless of institution size
“The problem isn’t a lack of data — it’s the lack of contextual interpretation of that data.”
AML teams in Polish obliged institutions face a growing challenge: alert volumes keep rising, but 90–95% are false positives requiring hours of manual due diligence — gathering information from registries, media, and the web, analyzing connections, drawing conclusions. Every false alarm is analyst time — and as volumes grow, manually handling false positives becomes a significant, recurring line in the compliance budget. KNF and DORA pressure is increasing. Team resources are not.
How does Trim Alert AI Assistant work?
Automated due diligence with full audit trail.
- 1 Analyst enters company VAT ID, alert reason, and optionally additional information (e.g. related persons identified by the institution)
- 2 System conducts automated due diligence — analysis of registries, ownership structure, ultimate beneficial owners, and media
- 3 System calculates a deterministic risk assessment with full audit trail
- 4 Analyst receives complete materials for decision-making — risk assessment, key factors, cited sources, and recommendation
Corporate registry analysis
Automated analysis of corporate registries: ownership structure, management board, change history, ultimate beneficial owners. Detection of AML risk patterns in registry data. The system is not dependent on a single registry — it also incorporates information provided by the institution as part of the alert.
Negative media screening
Searching media for negative information about the company and related persons: fraud, criminal proceedings, reputational risks. Private search engine on our infrastructure — queries about your clients never reach external search engines.
Risk scored by code, not AI
Algorithmic aggregation of results into a consistent risk assessment. The assessment is calculated deterministically in code — the same data set always produces the same result. AI generates only the narrative justification, never the result itself. 5-level scale: LOW → CRITICAL.
The analysis output is a structured digital report containing: risk assessment (5 levels: LOW / MEDIUM / ELEVATED / HIGH / CRITICAL), numeric score (0–100), list of key risk factors with rationale, full audit trail with cited sources, and recommendations for the analyst.
The decision is always made by the AML analyst.
Typical analysis time: a few minutes.
Why Trim Alert?
Built for Polish obliged institutions
Designed from the ground up based on legal frameworks (GDPR, DORA, AI Act) and supervisory guidelines (KNF, GIIF, EBA, FATF).
Polish jurisdiction, Polish registries, GIIF terminology.
Analyst always decides
The system never makes decisions autonomously — every recommendation requires AML analyst approval.
State machine: REVIEW_PENDING → ACCEPTED / ESCALATED.
The verdict is computed by code, not AI
Risk assessment computed algorithmically in code — repeatable, auditable, testable. AI generates only the narrative, never the result itself.
Validated on a continuously growing set of test scenarios.
Full audit trail
Every recommendation includes cited sources, AI operation identifiers, and a complete audit trail.
KNF auditor sees every operation of each AI agent — who, what, when, on what basis.
No vendor lock-in
Migration between LLM models (Azure OpenAI ↔ open source) without system rebuild.
Inference layer abstraction. Private media search engine — queries never reach external search engines.
SaaS and private cloud
Identical set of collaborating AI agents — in Azure cloud or in the institution’s infrastructure. One system, two deployment modes.
Configuration via DEPLOYMENT_MODE — no code changes required.
A working product, not a concept
The first AI agents already run and are tested — more are in the works, and you can help shape them for your institution.
Early Access available now — real analyses, not mockups.
One system, two deployment modes
Try in the cloud today. On-premise deployment — coming soon.
On-premise deployment
On-premise, built for bank-grade rigor. Coming soon — let’s talk about a pilot.
Ask about on-premise deployment →Both modes run on an identical set of collaborating AI agents — they differ in deployment configuration, authorization, and data location. Switching from SaaS to Bank Mode doesn’t require rewriting integrations.
Where we are and where we’re heading
Early Access
Automated due diligence — registries, media, risk assessment.
JSON output, SaaS invite-only, max 50 users
Duration: 10–12 wks
Full system
Comprehensive due diligence with sanctions, PEP verification and regulatory PDF report.
+ sanctions, PEP, PDF report, SSE streaming, commercial plans
Duration: 6–8 wks
OSINT + Open Source LLM
Open-source intelligence (OSINT) plus your own AI models with full control over processing.
+ OSINT, Open Source models (vLLM on Azure), Confidential Computing
Duration: 4–6 wks
Bank Mode
On-premise deployment, full data control — built for the highest requirements and audits.
Keycloak + AD/LDAP + MFA, on-premise, full RBAC, dedicated SLA
Duration: 4–6 wks
Estimated timelines. Phase 2–4 timelines depend on Early Access results and deployment schedule.
Security and compliance — designed in, not bolted on.
In the regulated financial sector, compliance isn’t optional — it’s a requirement. We design Trim Alert for GDPR and DORA requirements and the supervisory expectations of KNF, GIIF, EBA and FATF — to a bank-grade standard, so that vendor assessment on the institution’s side can be carried out rather than deferred. It is intended for all obliged institutions.
Security — your CISO will approve this: Private search engine — our own instance; queries are not tied to an account and are not profiled. Full audit trail of every operation, DORA and GDPR compliance.
Packages
Packages tailored to your institution’s scale and deployment mode. Pricing is individual.
Pilot
Proof of concept
Full analysis engine, limited alert volume
First deployment
Standard
Regular volume
Full analysis engine, reports, support
Cooperative banks, credit unions, payment institutions, smaller banks
Enterprise / on-premise
Coming soon · on request
Unlimited volume, deployment in the institution’s infrastructure (Bank Mode), dedicated SLA
Commercial banks, insurers
Pricing is individual — based on volume and deployment mode.
Request a quote →All packages include the full AI pipeline.
During Early Access, access is free (invite-only, no SLA). Bank Mode (on-premise) — coming soon.
From first meeting to production in 5 steps
You can opt out at any step. No commitment until step 3.
Discovery
NO COMMITMENTWe learn your needs, demo on public data.
Result: Fit report; go/no-go
Pilot
NO COMMITMENTComparison with manual process.
Result: Quality results vs AML analyst
Expansion
Full analysis scope, shadow mode alongside analyst.
Result: Comparative report: system vs analyst
Calibration
We fine-tune thresholds to your requirements.
Result: Metrics: time reduction, precision
Production
Full deployment, team training.
Result: Full operation + evaluation report
Want to discuss deploying it at your organization? Book a 30-minute call — no commitment.
Book a call →We respond within one business day. Contact: contact@trimalert.com
How do we validate system quality?
We validate quality on a set of 50 AML scenarios — from obvious false positives to complex straw-man structures and high-risk jurisdiction cases. Every system result is compared with an AML expert’s assessment.
test scenarios
True Positive alerts
False Positive alerts
agreement with expert assessment
risk score tolerance
The system handles challenging cases:
- Company not in registry
- Suspicious ownership structures
- Connections to high-risk jurisdictions
- Partial results (one data source failure)
- Single-person ownership structure
The golden dataset is an internal test set used to validate the pipeline before launch. Golden dataset results do not guarantee production outcomes for all company types and alerts.
A startup that thinks like a bank
We built AML systems inside financial institutions and personally went through GIIF and KNF audits. That’s why our solution is mature and thoughtful — it addresses real AML analyst needs, not assumptions about them.
We know that AML needs aren’t easy to translate into software — we can do it because we know them from the inside.
- Translates compliance requirements into modern software
- 20+ years in IT, Data & AI in banking and insurance
- Product architecture, AI pipeline, tech strategy
- Technology Advisory Manager at Elitmind
- Ex-CTO at DataScience House, Ex-Banking Data Manager at Santander CIB
- AML expert — translates regulations into technical requirements
- 20+ years in AML, compliance & financial crime prevention
- Personally underwent GIIF and KNF audits
- AML Lead at KIR — STIR, SINF, SCU AML systems
- Ex-AML Lead at PKO BP — 3rd AML Directive implementation
Frequently asked questions
Product
What is Trim Alert AI Assistant?
What data does the system analyze?
How long does analyzing one company take?
Does the system replace the AML analyst?
What is deterministic scoring?
What companies can I analyze?
What if I disagree with the risk assessment?
How do you differ from existing screening systems?
Security & compliance
Is the system DORA compliant?
Can I run the system in my bank’s infrastructure?
What does the audit trail look like?
Commercial
How much does it cost?
Is there a trial version?
How does the deployment pilot work?
What is the SLA?
How to transition from EA to commercial?
Does a retry count toward the alert limit?
SaaS vs Enterprise
What’s the difference between SaaS and Bank Mode?
Can I start with SaaS and switch to Bank Mode?
When will Bank Mode be available?
What’s needed to start a pilot?
Join Early Access
Be among the first users. Invite-only, limited to 50 spots.
Let’s talk
Have a question about deployment, a pilot, or a demo? Write to us.
You can also write directly: contact@trimalert.com