LuSarv Consulting
Accountability is not a feature. It's the architecture.
LuSarv Consulting helps organisations on their AI transformation journey, designing sovereign, in-resident AI/ML, GenAI and RAG pipelines for environments where any system you approve, pilot or procure must survive governance, procurement, clinical safety, data-protection and audit scrutiny.
Services
What we do
Four areas of practice, each grounded in the same principle: sovereignty first, with accountability engineered into the architecture.
AI/ML architecture
Design of machine-learning systems built for environments where decisions must survive audit, governance and clinical-safety scrutiny.
LLM and RAG systems
Sovereign, in-resident LLM and retrieval-augmented generation pipelines that keep sensitive data inside your controlled boundaries.
Accountable AI review
Independent review of existing or proposed AI systems against your governance, data-protection and audit obligations.
Sovereign AI strategy
Planning for AI capability that your organisation owns and controls, architected for sovereignty from the outset, not retrofitted.
How we work
The engagement pattern
Every engagement follows the same disciplined path. There is no standard packaging and no committed price list; scope is defined by the decision environment, not by a rate card.
Step 1
Discover
Understand the decision environment, the stakeholders and what a wrong or unverifiable answer would cost.
Step 2
Map risk
Identify clinical, regulatory, data-protection and reputational exposure across the proposed AI workflow.
Step 3
Design architecture
Specify a system where accountability, sovereignty and scrutiny are structural properties, not policy aspirations.
Step 4
Define accountable deployment path
Agree a route to production that survives governance, procurement and audit review at every stage.
Who we work with
Built for regulated environments
Our primary work is with senior clinical, digital and AI decision-makers in high-stakes healthcare, NHS trusts and academic health systems, alongside procurement and information-governance leads who must be satisfied before any system is approved.
The same discipline applies to other regulated domains: anywhere sensitive data must stay inside controlled boundaries and every output may one day need to be defended.