Knowledge ownership
Identify accountable owners for critical sources.
AI systems guide
Enterprise RAG starts before the vector database.
Five readiness questions that determine whether a knowledge assistant can become dependable inside the organisation.
What this means
The source system is part of the AI system.
Retrieval quality depends on the structure, ownership, freshness and access model of the knowledge it searches. A model choice cannot compensate for missing operating decisions.
Access model
Map users, documents, teams and sensitive boundaries.
Retrieval design
Choose indexing and ranking based on information shape.
Evidence experience
Show citations and uncertainty where decisions require it.
Evaluation
Test retrieval and generation independently.
Operations
Plan refresh, monitoring, feedback and incident response.
1. Is the knowledge owned?
A source needs an accountable owner, an understood purpose and a rule for when it is no longer current. Otherwise the retrieval system scales ambiguity.
2. Can access be enforced at retrieval time?
The assistant must not retrieve information the user cannot access. Permission architecture belongs in the core design, not only the user interface.
3. Can quality be measured?
Build questions and expected evidence from real work. Measure retrieval recall, answer grounding and whether the user can complete the task.
4. Who operates the system?
Ingestion failures, changed permissions and poor answers need owners, signals and response paths. Enterprise RAG is a living information product.
RAG readiness is the organisation’s ability to govern context—not its ability to call a model API.
How we work
Clarity from first decision to production.
Discover
Align the business outcome, users, constraints and risks.
Design
Shape the architecture, experience and delivery plan.
Build
Deliver in reviewable increments with quality engineered in.
Evolve
Measure, support and improve the live system.
Build with Genesis
Turn the next important idea into a dependable system.
Bring us the outcome, the complexity and the constraints. We will help you shape the right path forward.