Fintech & Compliance

Fintech Compliance AI – Private LLM for Financial Services Teams in Europe

We build fintech compliance AI assistants by fine-tuning a private LLM for financial services on your AML, KYC, sanctions and fraud policies. Your analysts get a real risk and compliance AI assistant for SARs, casework and policy Q&A – without sending transaction or customer data to US-based black-box APIs.

AML / CTF · KYC · Transaction Monitoring MiCA, PSD2/PSD3, AMLD awareness EU-only hosting or on-premise Audit-friendly logging & controls
Built for Heads of Compliance, MLROs, Risk and Legal in European fintechs, banks, PSPs and crypto firms who want GDPR-compliant AI for financial services – and an EU-only fintech AI stack they can defend to auditors and regulators.

Why Generic AI Is Risky in Regulated Environments

  • No clear control over how prompts and customer data are stored or used for retraining.
  • Inconsistent classification of risk, products or counterparties compared to your internal playbooks.
  • Little explainability for why a decision or summary was produced – hard to use in audits or regulator discussions.
Fintech compliance AI and private LLM for financial services by AI Tuning
Visual overview of AI Tuning fintech compliance AI and private LLM for financial services, hosted only in EU data centres.

From Experiments to a Controlled Fintech Compliance LLM

Many teams try ad-hoc chatbots to draft SARs, answer policy questions or help with casework, but quickly hit compliance and IT limits. Our fintech & compliance track turns those experiments into a documented private compliance LLM – a controlled fintech compliance AI setup that follows your own risk frameworks and works as a long-term AML KYC LLM assistant.

Typical Challenges

Where Fintech Compliance Teams Struggle with AI

  • Analysts copy-paste sensitive case details into generic tools against policy.
  • Inconsistent SAR narratives and case notes across analysts, regions and products.
  • Internal policies, typologies and red flags are not reflected in off-the-shelf models.
Our Approach

A Private LLM for Financial Services, Trained on Your Playbooks

  • We fine-tune your private LLM for financial services on internal policies, typology libraries, SAR examples and QA’d case notes.
  • The model acts as a risk and compliance AI assistant that suggests narratives and classifications – analysts stay fully in control.
  • Deployed as EU-only fintech AI on providers like Hetzner (Germany/Finland), Scaleway or OVHcloud – all in EU data centres, with full logging and access control.

High-Impact Fintech & Compliance Use Cases

We focus on practical workflows that help analysts and compliance officers move faster, while keeping them in charge of final decisions. The goal is not “AI replaces compliance”, but a private, explainable fintech compliance AI co-pilot embedded in your day-to-day tools.

SAR & Case Narrative Drafting

Turn complex transaction patterns and notes into clear, structured narratives with an AML KYC LLM assistant.

  • Draft first versions of SAR or STR narratives based on structured and unstructured case data.
  • Highlight key events, counterparties, amounts and risk factors according to your templates.
  • Provide analysts with alternative wording that they can refine and approve.

Policy & Playbook Assistant

Make your policy library actually usable for analysts and first-line teams, via a private compliance LLM.

  • Answer internal questions using your AML, KYC, sanctions and fraud policies as a source of truth.
  • Suggest relevant sections and thresholds when edge cases appear in casework.
  • Help new joiners understand your risk appetite and escalation rules faster.

Transaction & Alert Review Support

Use a risk and compliance AI assistant to provide context and summaries around high volumes of alerts and cases.

  • Summarise long transaction histories and previous alerts into a compact analyst briefing.
  • Highlight patterns that match known typologies from your internal library.
  • Support prioritisation by grouping similar alerts or customers for review.

Pricing for Fintech & Compliance LLM Projects

Compared to simple automation, fintech & compliance projects require more work on governance, access control and documentation. Pricing follows the same transparent, fixed-fee structure as the rest of your AI Tuning plan – and always includes a clear deployment path for your private LLM for financial services.

Entry
Compliance Co-Pilot Pilot
€7,900
For a single team (e.g. AML or KYC) testing AI on a limited set of workflows.
  • Discovery with MLRO / Head of Compliance + IT.
  • Dataset definition: policies, QA’d narratives, anonymised cases.
  • Fine-tuning on one focused workflow, such as SAR narrative drafting with an AML KYC LLM assistant.
  • Staging environment for internal testing with selected analysts.
Standard
Multi-Use Compliance LLM
€12,900–€19,900
For organisations wanting a broader internal assistant across compliance domains.
  • Fine-tuning on multiple data sources: policies, typology docs, training decks, case notes.
  • Co-pilot features for narratives, policy Q&A and alert summaries.
  • Model documentation, limitations and governance notes suitable for audits and regulator discussions.
  • EU-hosted API or on-prem deployment blueprint for your fintech compliance AI stack.
Advanced
On-Prem & High-Sensitivity Setup
from €22,900
For banks and highly regulated entities with strict on-prem or private cloud needs.
  • On-prem or private cloud installation with role-based access control and audit-friendly logging.
  • Integration patterns with case management and monitoring tools.
  • Extended risk and governance documentation for internal approval.
  • Optional long-term support and periodic re-training on new data and regulations.

All prices are net and indicative. Together we define an exact scope and deliver a fixed-price proposal so your leadership and compliance teams can make a clear decision.

How a Fintech & Compliance AI Project Runs

We structure projects so that compliance, risk, product and IT all have clear touchpoints. No “shadow AI” experiments – everything is documented and ready for internal reviews and external audits, from first prototype to a live fintech compliance AI assistant.

1

Discovery with Compliance & IT

Joint workshop to understand your products, jurisdictions, risk appetite, current tools and existing AI experiments.

2

Use Case & Data Mapping

We select one or two high-impact workflows and map the required data sources, access controls and red lines for your private LLM for financial services.

3

Fixed-Price Proposal & Governance Plan

You receive a written project scope, governance elements and a fixed budget that can be signed off by senior management.

4

Fine-Tuning & Evaluation with Analysts

We fine-tune the model and test it together with your analysts on real but controlled examples, adjusting prompts and behaviours.

5

Deployment & Documentation

Delivery of the model, API or on-prem setup plus documentation you can show to auditors and regulators if needed.

6

Ongoing Optimisation

Optional long-term collaboration to refine models, add new policy content and adjust to regulatory changes.

Advanced Compliance AI Ensures Financial Integrity

February 20, 2026 · Fintech & Compliance AI
Advanced Compliance AI Ensures Financial Integrity Explore how fintech compliance AI and private LLMs can revolutionize AML, KYC, and risk management in European financial institutions. From experiments to production, learn about the core use cases, architecture, and implementation roadmap. Why…
Next Step

Want a Compliance Co-Pilot That Stays Inside the EU?

In a short call we map your current compliance workflows – SARs, KYC, transaction monitoring, policy Q&A – to a fintech compliance AI setup that fits your governance. Within 24 hours you receive a fixed-price proposal you can share with MLRO, Risk and IT.