RegTech AI Development Services
AI now touches every layer of financial services, from back office to client-facing products. Dreamix delivers regtech AI development for vendors, fintechs, insurtechs, and investment firms, engineered with the governance, documentation, and human oversight that regulators expect.
How we help you adopt Regtech AI
AI in Regtech is not confined to one part of the compliance function. It is moving into every area regtech platforms and financial institutions run:
AI in Regulatory Intelligence
- Regulatory horizon scanning
- Gap analysis
- Obligation mapping
- Rulebook curation
- Impact assessment
- Cross-jurisdictional tracking
AI-driven AML/Fraud
- Real-time anomaly detection
- Network/pattern analysis
- False-positive reduction
- Dynamic risk scoring
- Alert triage & prioritization
- Typology detection
- Case investigation support
AI-driven KYC/CDD
- Identity verification
- Sanctions/PEP/adverse media screening
- Beneficial ownership discovery
- Risk scoring & tiering
- Perpetual KYC (pKYC)
- Document extraction & data entry
- Enhanced due diligence (EDD) support
AI in Risk Profiling & Scoring
- Customer risk rating
- Portfolio-level risk aggregation
- Scenario analysis
- Risk dashboards
- Predictive risk indicators
- Model explainability
- Segment-based risk thresholds
AI-driven underwriting
- Submission intake & data extraction
- Risk data enrichment
- Automated risk selection
- Straight-through processing
- Pricing & quote generation
- Explainability & audit trail
- Portfolio risk optimization
Conversational Compliance AI Assistants
- Policy Q&A
- Regulatory research
- Workflow guidance
- Attestations & declarations
- Case/query triage
- Audit trail generation
- Training & onboarding support
Explainable AI & Model Governance
- Bias detection & mitigation
- Decision explainability
- Model inventory & documentation
- Model validation & monitoring
- Adverse action reporting
- Audit trail generation
- Human-in-the-loop controls
Not sure where to start with RegTech AI?
Tell us the regulatory problem you're facing, and we'll walk through your priorities together and map them to the right starting point and engineering approach.
Talk to our RegTech teamDreamix AI services in the regulatory technology domain
Custom AI development
We build custom models trained on your own data, not a generic dataset. For regtech AI projects, the model is built around your compliance requirements from day one – GDPR, DORA, the EU AI Act – instead of your business logic being retrofitted to fit them later. The benefit: fewer rework cycles when a regulator or internal audit asks how a decision was reached.
Generative AI models
We design RAG systems, fine-tune models for your domain, and apply generative AI to dynamic task orchestration. In regtech AI projects, this often means grounding a model in your own policy library so it can answer compliance questions with the right regulatory citation attached – a MiFID II clause, a Basel requirement, an internal control. That traceability is what turns a chatbot into something compliance will actually sign off on.
Computer vision
We build visual recognition systems for quality control, security monitoring, and document verification. In regtech AI use cases, that extends to KYC checks under AMLD5/6 and fraud detection, with models that keep improving accuracy as new document forgery patterns and identity fraud typologies show up. Faster, more accurate verification shortens onboarding without loosening due diligence.
Recommender systems
We help you anticipate customer needs by analysing behaviour patterns and delivering personalised recommendations. In regulated sectors, the same models can flag unusual account activity or route a case to the right compliance workflow – an early layer of AML transaction monitoring that also improves the customer experience.
Deep learning & ML at scale
Our machine learning architectures process large data volumes in real time, handling millions of transactions per second without added latency. That’s the scale regtech AI needs for continuous transaction monitoring and anti-money laundering checks, where a lag in flagging a pattern is a lag in filing a suspicious activity report (SAR).
Enterprise AI solutions
We manage AI integration from first concept to deployment, working inside your existing infrastructure. For regulated businesses, that includes building in the audit trails, access controls, and model documentation that regtech AI adoption depends on – the artifacts a model risk management (MRM) review will actually ask for.
Predictive analytics & forecasting
Our predictive models analyse historical and real-time data to forecast trends and flag risk early. In compliance-heavy sectors, regtech AI forecasting helps risk and legal teams spot exposure — concentration risk, emerging AML typologies, IFRS 9 credit risk signals – before it becomes a reportable issue.
Data pipelines & preparation
We manage the full data lifecycle, from collection and cleaning to structuring and labelling. Regtech AI depends on pipelines that hold up to audit, so we build infrastructure aligned with data aggregation standards like BCBS 239, keeping every data point traceable and ready when regulators come asking.
Data visualisation
We turn complex data sets into clear visual models so your team understands what matters at a glance. For compliance and risk reporting, that means dashboards built for regtech AI that make audits, board reviews, and DORA resilience reporting faster to prepare.
Natural language processing (NLP)
We help you get more value from unstructured text through automated document analysis, sentiment tracking, and knowledge extraction. A common regtech AI application of NLP is scanning contracts, filings, and correspondence for sanctions exposure or adverse media hits before they reach a regulator’s desk.
AI implementation strategy
We build a roadmap tailored to your business goals so you avoid costly missteps. Our team identifies where AI can have the most impact and phases the rollout, an approach that matters even more when regtech AI has to satisfy both the business case and the compliance sign-off – including EU AI Act risk classification for the use case.
Generative AI consulting services
We help you separate genuine value from hype and identify where large language models can improve your operations or customer experience, with clear ROI expectations. For regtech AI initiatives, that means weighing where an LLM can draft a regulatory summary and where a human still needs to stay in the loop for the final call.
Intelligent automation consulting
We identify repetitive, manual workflows and replace them with automated systems that learn over time. In fintech and regtech AI programmes, this usually starts with reporting and reconciliation tasks – COREP/FINREP filings, reconciliations – that quietly eat up most of a compliance team’s week.
Analytics consulting
We help you define the metrics that actually drive your business and set up systems to track them in real time. For regulated firms, that often includes the key risk indicators (KRIs) a regtech AI programme needs to monitor continuously, without gaps between reporting periods.
Digital transformation & automation
We connect legacy systems with modern AI to build automated workflows that cut costs and reduce errors, without disrupting the business. This is usually where regtech AI adoption starts for banks and insurers still running core systems that are decades old – and where DORA-style operational resilience requirements are hardest to meet.
Securing AI/ML against threats
We protect your AI investment against data poisoning, adversarial attacks, and model drift with security frameworks built for regulated environments, aligned to standards like the NIST AI Risk Management Framework and ISO/IEC 42001. This is core regtech AI work: keeping models compliant, auditable, and safe to run in production.
Build vs buy in RegTech AI
| Factor | Buy off-the-shelf | Build custom regtech AI |
|---|---|---|
| Ownership | Licensed access, not an asset | You’re the full IP owner |
| Cost structure | Recurring fees, rising at renewal | Upfront cost, low ongoing maintenance |
| Time to market | Fast, already built | ~75% faster with AI-native development |
| Payback period | None, it’s a permanent cost | Typically 1 to 3 years |
| Customisation | Limited, complex and often expensive | Fully yours to shape |
| Governance | Varies by vendor, often generic | Built to your audit requirements |
| Vendor dependency | High: pricing, access, roadmap | Low: you control continuity |
Modern technology stack
Client success stories
-
Streamlining compliance with a comprehensive ARL management tool
Navigating regulation has always been a core challenge for companies. For nearly two decades, MCO has been at the forefront of creating solutions to help overcome this hurdle. In the currently growing complexity of the regulatory landscape, the US-based platform recognized a rare opportunity to make compliance more straightforward for their clients. After joining forces […]
What does working with Dreamix look like?
Fast onboarding
Save time and increase productivity with out quick-to-onboarding team engagement process. Get a trusted IT partner that understands both your domain in depth and is ready to start delivering in two weeks.
Agile development
Ensure a stable digital product and reduce time-to-market. For over two decades we’ve used Agile methodology Scrum to deliver value early on, adapt to changing requirements, keep you in the loop, and deliver stable, scalable systems.
Expertise matching
We make sure your Regtech in AI project is handled by an expert team with the required expertise and hands-on experience to deliver exceptional product quality.
Proactivity
Rely on us to always identify and point out problems in the process or in the accumulated technical debt and propose the most effective solution for your business needs.
What clients say about working with us
FAQ about RegTech AI
Talk to us about building RegTech AI that holds up under audit, at scale, and for years to come.