Best AI‑native AML software platforms in 2026
AML compliance in 2025 is more complex than ever. And as we move into 2026, financial institutions across the UK, EU, and globally face rising transaction volumes, fast changing regulations, and increasingly sophisticated financial crime. Legacy tools can’t keep up.
This guide compares modern and AI-native AML platforms built to automate onboarding, monitoring, risk scoring, and alert resolution. You’ll find practical insights into how each platform works, their strengths, and when to choose Strise as your solution.
What defines a modern AML platform?
We selected platforms that meet five core criteria:
- AI automation: Uses AI to reduce manual work in onboarding, risk checks, and alert resolution.
- Unified data & APIs: Aggregates registries, sanctions lists, and adverse media, with enterprise-grade integrations.
- Continuous monitoring: Triggers alerts on any change in risk, eliminating the need for periodic reviews.
- Configurable workflows: No-code or low-code tools to build your own processes and risk policies.
- Proven impact: Demonstrates real-world results: faster onboarding, fewer false positives, and lower costs.
2026 vendor comparison: Top 5 AI-native AML tools
1. Strise
Best for: Enterprises that need scalable AML automation across onboarding, monitoring, and alert resolution.
Overview:
Strise flips the traditional AML model, starting not with workflows, but with data. At its core is a proprietary data engine that harmonizes registry filings, internal notes, analyst inputs, documents, and third-party data into continuously updated, living entity profiles.
Built on a graph-based foundation, Strise uncovers hidden relationships and network risks. It applies AI and configurable policies to classify risk in real time, while analysts resolve alerts faster in a unified workspace with full audit trails and contextual insights.
Strengths:
- Unified risk profile across IDV, KYC/KYB, UBO, and monitoring
- Graph intelligence + AI detect hidden risks early, not just faster
- 90% faster due diligence and ~30% cost savings in production
- Flexible architecture: API, UI, or hybrid integrations
- Trusted by PwC Norway, Corpay, Vipps MobilePay, Nordea and other leading enterprises
2. Duna
Best for: Fast, user-friendly business onboarding with deep KYB focus.
Overview:
Duna provides a no-code platform for building KYB flows with embedded ID checks, AML screening, and e-signatures. Focused on user experience and conversion, it pre-fills data from 210+ registries and supports dynamic forms, real-time scoring, and multilingual onboarding.
Strengths:
- High-conversion onboarding UX
- Full verification stack: ID, bank, and more
- Policy automation with audit trails
3. Greenlite AI
Best for: Automating alert handling in existing AML systems.
Overview:
Greenlite deploys AI agents to triage and resolve sanctions, PEP, and transaction monitoring alerts. These agents mimic human analysts to auto-clear low-risk hits, following guidance aligned with U.S. and UK regulators.
Strengths:
- Cuts 90–95% of repetitive analyst work
- Audit-ready AI aligned with OCC/FINRA guidelines
- Fast, non-disruptive integration with legacy tools
4. Spektr
Best for: Teams needing fully customizable, no-code compliance workflows.
Overview:
Spektr lets users design and automate every part of the AML lifecycle; onboarding, screening, and monitoring, without code. Its visual builder integrates with any data source or risk engine and supports real-time compliance.
Strengths:
- Hyper-customizable workflows and risk logic
- Full client lifecycle management
- Real-time, trigger-based monitoring
5. Bits Technology
Best for: Fintechs and growth-stage companies expanding across Europe.
Overview:
Bits is a cloud-native compliance hub with modular onboarding, monitoring, and verification tools. It connects identity, risk, and document checks from multiple providers into a centralized layer.
Strengths:
- Modular, market-adaptable setup
- Built for fintechs scaling across jurisdictions
- Collaborative UI with built-in case management
When to pick Strise
Strise is the right choice if you:
- Struggle with fragmented data: Replace spreadsheets, PDFs, and disconnected systems with unified, real-time risk profiles.
- Need earlier risk detection: Graph-based analytics reveal indirect exposures before onboarding begins.
- Face alert overload: Analysts see only prioritized, high-quality alerts with full audit trails and rich context.
- Want fast, flexible deployment: Strise integrates easily via API and can run alongside your existing stack.
- Plan to scale with AI: Strise starts with the foundation—data—making automation reliable, scalable, and regulator-ready.
