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Project Overview
A governed AI assistant grounded exclusively in the organisation's approved knowledge base -spanning guardrails, Power BI guidance, and procurement -so staff receive answers consistent with current policy rather than open model output. Every response cites the source documents it draws on, making the assistant verifiable and auditable by design.
Project Impact
The assistant proved that governed AI can be genuinely useful: staff get fast, trusted answers, and the organisation gets an auditable record of exactly which approved sources informed every response.
Project Objectives
Provide staff with AI assistance grounded only in approved internal documentation
Guarantee verifiability by requiring every answer to cite its sources
Cover high-demand guidance areas: guardrails, Power BI, and procurement
Demonstrate that useful AI and strict governance can coexist
Project Scope
The engagement delivered a retrieval-grounded AI assistant constrained to an approved knowledge base, with citation requirements built into every response and coverage of the guidance areas staff ask about most.
Key Areas
- Knowledge-base grounding and response constraint design
- Citation-by-design answer architecture
- Guardrails, Power BI, and procurement guidance coverage
- Auditability and governance alignment
Key Achievements
Policy-Consistent Answers
Constrained responses to approved internal documentation so staff receive guidance consistent with current policy rather than open model output
Verifiable by Design
Built verifiability and auditability in by design, requiring every answer to cite the source documents it draws on
High-Value Coverage
Delivered trusted guidance across guardrails, Power BI, and procurement -the areas staff need most
Technologies Used
Key Deliverables
- •Governed, citation-grounded AI assistant
- •Approved knowledge-base grounding architecture
- •Citation and audit trail design
- •Guidance coverage across guardrails, Power BI, and procurement
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