18/06/2026
Compliance teams at regulated financial firms are drowning in data: emails, chats, voice calls, social media, regulatory filings and the volume grows every year. Manual review cannot keep pace with it.
A leading compliance technology provider serving clients in 60+ countries faced two versions of this problem simultaneously: their clients needed governed AI they could trust, and internally, each product line was building AI capabilities separately, creating fragmentation, shadow-AI risk, and mounting maintenance costs.
They partnered with Dreamix to build Encore: a unified, production-grade AI platform now running across their entire product suite.
The build covered six phases:
✅ an LLM gateway connecting all products to 100+ AI models from OpenAI, Azure, Anthropic, and AWS Bedrock through a single governed layer;
✅ a document processing pipeline handling 15+ file formats;
✅ a knowledge base with intelligent search that returns cited, audit-ready answers from uploaded compliance documentation;
✅ AI agents that operate across live compliance systems, searching communications, querying surveillance alerts, checking employee status and synthesise findings across all of them in a single conversation;
✅ bulk processing infrastructure for large regulatory review workloads;
✅ and audio and video transcription across six formats.
The outcome: investigations that previously required an analyst to navigate five or more systems manually now run in minutes. The client deployed a differentiated, enterprise-grade AI product across their full suite at once with full cost visibility, no vendor lock-in, and the auditability that regulated firms require.
The full case study is linked below.
When compliance teams evaluate AI tooling, what tends to matter more in practice — capability or auditability?
https://dreamix.eu/success-stories/building-an-ai-platform-for-the-compliance-industry/