Inbound leads and client email routed under your licensing rules,
with a compliance gate. In Arabic or English.
AI agents that process claims documents, answer policy questions from 10,000-document libraries, and monitor regulatory compliance - continuously, accurately, in the language of your documents. On-premise when your data can't leave the building.
Case study · In production
Multi-agent email coordinator for a US financial services firm
Inbound leads and client email arrived into a shared inbox. A coordinator read every message, decided who it belonged to, and routed it by hand. Senior reps received leads under a weighted rotation that existed only in a spreadsheet. Follow-ups were tracked by memory. The firm operates under restrictions on what unlicensed staff may discuss with customers, so every outbound message carried regulatory exposure.
Compliance cannot live in the prompt. Instructions to a model degrade over a long conversation, so a separate validation layer inspects every output before it reaches a customer and blocks anything touching restricted topics. Prompt-level guardrails weaken. An output check does not.
Who gets the most from this
Different decision-makers have different reasons to care. Here's the case for each.
“Your compliance team is reading documents. A machine should be doing that.”
- →Senior staff redeployed to judgment calls instead of first-pass review
- →A fixed price agreed in writing before work starts
- →Compliance as a competitive moat, not just a cost center
- →Fixed price - the outcome is defined before a dollar is spent
“Own the system. Full source code on your servers. No SaaS dependency for mission-critical compliance.”
- →On-prem Qdrant + LlamaIndex + Qwen - no cloud data exposure
- →P95 response under 800ms on 10,000+ document corpus
- →Arabic OCR + multilingual LLM: handles Arabic and English policies natively
- →Full audit trail: every AI decision logged with source citation
“Regulations across UAE, Saudi, and Bahrain change faster than your team can track them.”
- →Monitors CBUAE, CCHI, CBB simultaneously - flags deviations instantly
- →Every classification carries the source it was based on
- →Architecture designed for PDPL, GDPR, and SOC 2 - documented before build
- →Every ruling stored, searchable, cited - audit-ready at any moment
Where insurance operations stall
These are the bottlenecks we find on every architecture call with insurance operations and compliance teams.
Manual claims processing at scale
Adjusters reviewing documents line-by-line. A 6-hour review cycle for simple claims burns senior staff on work that shouldn't need judgment.
Policy Q&A taking hours
Brokers and operations teams email the compliance team every time they need a policy answer. The answer exists somewhere in 10,000 policy documents - finding it takes hours.
Compliance monitoring is manual and lagging
Regulatory updates across multiple jurisdictions are tracked in spreadsheets. By the time the review happens, the exposure has already been building.
Arabic document processing is a bottleneck
Claims, policies, and regulatory filings arrive in Arabic. Standard OCR and extraction tools fail on Arabic script. Processing slows, backlogs grow.
Three systems, or one. Depends on where your biggest bottleneck is.
We start with the architecture call to identify the highest-ROI problem. Some clients start with the policy knowledge base (fastest payback). Others start with compliance monitoring (lowest risk tolerance). We scope before we build.
- Claims document ingestion - Arabic and English PDFs, scans, and structured forms
- Automated claims triage and classification with confidence scoring
- Policy knowledge base: instant Q&A with exact document citations
- Regulatory compliance monitoring across multiple jurisdictions simultaneously
- Automated compliance reporting and deviation flagging
- Full audit trail for every decision - required for regulatory review
- On-premise deployment - policyholder data never leaves your servers
- Integration with core insurance management systems via API
Built for regulated environments by default
Insurance data is subject to strict regulatory controls globally. Our default deployment is on-premise - policyholder data stays inside your infrastructure. For Gulf clients, this aligns with UAE PDPL, Saudi CCHI data governance frameworks, and UAE CBUAE insurance regulations. For US and EU clients, the same on-prem approach satisfies HIPAA, GDPR, and SOC 2 requirements.
- On-premise deployment - your servers, your jurisdiction
- No policyholder PII on third-party cloud
- Full audit trail for every AI decision
- Written architecture document before work begins - legal team can review
- Multi-jurisdiction: UAE, Saudi Arabia, US, EU compliance frameworks
Common questions
Is this compliant with CCHI, UAE CBUAE, and PDPL requirements?
Our default deployment model is fully on-premise: all data - claims documents, policy records, audit logs - stays on servers you control inside your jurisdiction. This approach aligns with UAE Personal Data Protection Law (PDPL), Saudi CCHI frameworks, and CBUAE data governance requirements. We provide a written architecture document before any work begins so your legal and compliance team can verify the data flow.
How does the system handle Arabic policy documents and claims?
We use LLMs with strong Arabic language capability (Qwen, Jais, GPT) and Arabic-capable OCR for scanned documents. The system extracts text, understands context in Arabic, and generates answers and reports in Arabic or English.
Can the system monitor regulations across multiple Gulf jurisdictions?
Yes. The compliance monitoring agent can track UAE CBUAE, Saudi CCHI, and other Gulf regulatory frameworks simultaneously - each with their own rule sets and filing calendars. When a regulation changes, the system flags affected policies automatically.
How long does implementation take?
Typically 6–10 weeks from signed spec to production. The first 1–2 weeks are document ingestion and system setup. The final phase is a 2-week validation period running in parallel with your existing process before cutover.
What happens with claims that require human judgment?
The agent classifies claims by complexity and confidence. High-confidence simple claims are processed automatically. Claims that fall below a confidence threshold - edge cases, large amounts, disputed items - are flagged and routed to an adjuster with a structured summary of what the AI found and why it escalated.
Do we own the system after delivery?
Yes - full source code handoff, deployment runbook, and documentation. No ongoing license fees. The system runs in your infrastructure. You can modify it, extend it, or have any engineer maintain it. We provide 30 days of post-launch support.
You'll know what it costs and what it does before we write a line of code.
Free 30-minute architecture call. We identify your highest-ROI bottleneck, map your data flow, and deliver a written spec + fixed price within 3 days. No commitment required.
Book a callGulf · US · UK · EU · Available in Arabic and English