Implementing an AI powered database

A large Australian Government agency sought to improve the consistency, speed, and transparency of recruitment and operational decision-making. Policies and procedures were dispersed across multiple repositories, leading to delays, confusion, and compliance risk.
The agency required support to build the case for an AI-powered database to centralise policy and guidance, enhance user experience, and strengthen decision assurance.
Our Approach
We deployed an AI-focused business analyst to lead a structured, evidence-based process to explore, validate, and communicate the case for investing in an AI-enabled knowledge capability. This included understanding the agency’s needs, assessing solution feasibility, and providing clarity on the benefits, risks, and implementation considerations.
- Requirements Definition
Engaged HR, policy, operations, ICT, and governance to understand pain points and future needs. Defined core functional and non-functional requirements across search, access, security, workflow, and system integration. - Industry Best-Practice Scoping
Reviewed domestic and international AI knowledge platforms to benchmark leading practice. Considered regulatory guidance and ethical AI expectations to shape direction. - Stakeholder & Supplier Engagement
Validated operational needs through targeted engagement. Conducted soft market sounding to understand solution maturity, data considerations, and commercial models. - Demonstrations & Familiarisation
Coordinated vendor demonstrations, assessing usability, security, hosting, integration, and search relevance. Consolidated feedback to inform next steps. - Financial & Operational Benefits Analysis
Modelled indicative costs and benefits, including time-savings, reduced compliance risk, and improved user experience. - Case for Change Development
Integrated insights into a concise narrative outlining rationale, feasibility, delivery considerations, risks, and value.
Outcomes
The agency gained a clear and defensible case for investing in an AI-enabled knowledge solution, supported by well-defined requirements, visibility of market options, and strengthened alignment across policy, HR, ICT, and governance functions. The work provided a structured pathway to procurement planning and implementation preparation.
This enhanced internal understanding of solution benefits, risks, and value, including improved compliance, decision quality, and staff experience. Stakeholders were equipped with the insights needed to progress the initiative confidently and strategically.
What we offer
Translate organisational and operational needs into clear AI-specific functional and non-functional requirements.
Assess AI-enabled solutions and industry models to inform future direction and ensure alignment with leading practice.
Build internal capability by training staff to effectively use AI-enabled knowledge platforms, interpret outputs, and apply insights to recruitment and operational decision-making.
Develop structured, evidence-based business cases that articulate AI-enabled solution options, investment rationale, cost profiles, risks, and expected benefits.
Is Your Organisation Delivering with Structured Governance?
Take the next step
Is your organisation struggling with dispersed policies and inconsistent decision-making? Contact us today to begin building a clear, evidence-based business case for your own AI-enabled knowledge solution and transform operational efficiency and compliance.
Frequently Asked Questions
A centralised, AI-powered system that helps users quickly find and interpret organisational policies, procedures, and recruitment guidance.
AI improves decision-making by making information easier to locate, reducing search time, and minimising compliance and operational risk.
AI enhances search relevance, provides contextual guidance, and surfaces the most appropriate policy information at the right time.
Security, integration with existing HR/ICT systems, data governance, content quality, and user adoption/change management.
Timeframes vary, but structured assessment—including requirements definition, supplier engagement, AI capability analysis, and benefit modelling—typically takes several weeks to a few months depending on scale.




