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How We Start

One Engagement, Four Pillars

AI governance case study
Step 1 - 2-3 weeks

Discover the AI estate and map risk

AI security priorities
Step 2 - 1 week

Prioritise what to govern, secure, or rebuild

AI security case study
Step 3 - Scoped

Execute practical regulatory work packages

Continuous AI assurance monitoring
Step 4 - Ongoing

Assure AI with continuous testing and monitoring

Managed AI trust case study
Why LARETH.AI

One partner to govern, secure, build, and run

Regional AI regulatory expertise
Regional readiness

DIFC, PDPL, SDAIA, and NCA ECC expertise

faq,s

Frequently Asked Questions

We map every model, agent, connector and shadow AI tool in use, risk-tier each one, and cross-reference it against the regulations that apply to you — fixed price, 2-3 weeks.

One findings session, one week, that sorts the estate into what must be governed, what must be secured, and what should be rebuilt.

Execute is scoped work packages drawn from the four pillars, sequenced against your regulatory dates rather than ours.

Yes. Discovery is designed to surface what already exists and what's missing, so we extend rather than replace working controls.

Yes — Agentic Build and Managed AI Trust are both designed to plug into your teams' existing workflows and tooling.

Need any Help!

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LARETH.AI discovery consultancy support