Brendan, Australian Government Agency
At a glance
Organisation: Australian government agency
Challenge: Fragmented systems, slow onboarding, inconsistent access
Approach: Secure, cross-system search aligned with access controls
Outcome: Onboarding reduced from months to weeks; improved knowledge reuse
The challenge: fragmented systems and slow onboarding
In large organisations, finding the right information at the right time can be an ongoing challenge. Fragmented systems, siloed teams, and the gradual loss of institutional knowledge often combine to create inefficiencies that slow down work, frustrate employees, and ultimately reduce the organisation’s effectiveness.
This was the situation facing Brendan, a leader in digital transformation at a major Australian government agency, when he began looking for a solution that could help his teams work smarter, faster, and with greater clarity.
Brendan’s mandate was clear: to find new ways to improve the agency’s productivity through digital innovation. As someone passionate about government efficiency, he saw first-hand how information silos were holding the organisation back. Each department had its own way of storing documents, data, and internal communications, ranging from internal websites and SharePoint drives to various legacy systems and databases. Valuable knowledge was scattered and difficult to access, particularly for those who weren’t already familiar with where to look. All of this was compounded, as each department continued to work in isolation for years, effectively creating walled garden mazes; disconnected from one another, and almost impossible to navigate on the inside.
This fragmentation had real consequences. New employees took an average of six months to begin to become productive, largely because they struggled to find the tools, documents, and context they needed. Even long-standing employees regularly wasted time tracking down information, often duplicating work that already existed elsewhere in the department. When people left, their knowledge either left with them, or was unwittingly buried never to surface again.
"New employees took an average of six months to begin to become productive."
It was against this backdrop that Brendan came across Search Sensei, a universal search and content discovery platform powered by AI. What drew his attention was the way Search Sensei approached enterprise search not just as a technical tool, but as a productivity enabler that was tailored specifically to address the problems he observed. Rather than simply indexing files, it enabled natural, conversational search experiences across all major internal content sources, including websites, SharePoint sites, databases, and document repositories. Employees could ask a question in plain English and receive an accurate, context-aware answer that drew from a wide range of systems and formats.
For Brendan, this meant that new employees could get up to speed far more quickly and leverage the extensive knowledge assets that existed in the department. Instead of needing to learn the structure of every system or rely on fabled knowledge, they could simply search in one place and get what they needed. It also meant that existing employees no longer had to remember who created a certain report or where it was stored, they just searched and found it. Analysts could then discover and reuse prior work, increasing both the speed and quality of their output, while reducing duplication and wasted effort.
The approach: secure search across existing systems
The platform also delivered significant efficiency gains by enabling what Brendan described as true enterprise investigative search, cutting across previously isolated knowledge silos while maintaining robust access controls.
Search Sensei used access security trimming to ensure that employees could discover the existance of related content beyond the access permissions already assigned, but without compromising the discovered content. Once discovered, the user could simply invoke existing access requests processes to ‘request’ access to the content and make it available for re-use should the owner deem it acceptable to allow that access. In the absence of this capability, the user would never have known that valuable content even existed thus perpetuating the default action of ‘reinventing the wheel’ and ‘starting from scratch’ everytime. This allowed analysts and decision-makers to reuse knowledge safely and effectively, without exposing sensitive material.
"Crucially, the platform didn’t just help people find information, it helped them create it faster, too."
Beyond improving day-to-day productivity, Search Sensei also helped address the agency’s longer-term challenges around knowledge retention. As more experienced staff moved on, their documents and past work remained discoverable and useful to others across the organisation. The AI-driven platform preserved the value of institutional knowledge in a way that traditional storage systems could not.
Crucially, the platform didn’t just help people find information, it helped them create it faster, too. Through the integration of agentic AI, Search Sensei began assisting analysts in the generation of analytical content. Whether synthesising research or producing first drafts of papers, this capability significantly reduced the time required to deliver high-quality analysis. What previously took weeks could now be completed in as little as a few hours, allowing the agency to move at the pace of need and free up capacity to work on additional higher value tasks, or absorb the natural attrition of staff without the need to replace roles as they became vacant.
The outcome: faster access, better reuse of knowledge
Why this mattered in a government environment
Crucial to Brendan’s organisation, Search Sensei met strict security and compliance requirements, without compromising usability or access control. Brendan needed a solution that would not only integrate with multiple systems, but also protect sensitive information and provide secure, controlled access. The platform offered both, giving peace of mind while still delivering a seamless experience to users across different roles and divisions.
What made Search Sensei stand out from larger, more generic enterprise search tools was its flexibility. The platform could be tailored to suit the specific needs of his agency, both in terms of the user experience and the underlying system integrations. Rather than forcing the agency to conform to a rigid structure, Search Sensei adapted to its workflows, tools, and governance requirements.
After implementation, the impact was immediate. Onboarding times were reduced from months to weeks. Teams began sharing knowledge more effectively. Reports that had once taken days to locate, or were recreated from scratch, could be found and reused in minutes. Routine analysis tasks that once spanned weeks were now being completed in hours. The agency’s culture shifted toward more efficient, empowered work, supported by a platform that made information truly accessible.
"After implementation, the impact was immediate. Onboarding times were reduced from months to weeks."
For Brendan, Search Sensei became more than just a product, it became a strategic tool in the broader mission of digital transformation. It allowed him to deliver tangible results that improved both employee experience and organisational efficiency. By removing barriers to knowledge and making discovery easier and more intuitive, Search Sensei helped the agency work better together. Organisations across both government and enterprise sectors looking to overcome similar challenges can take confidence from Brendan’s story. In a world where information overload and system sprawl are common problems, Search Sensei offers a smart, secure, and highly customisable solution, designed to unlock the value of knowledge and help people do their best work.
This case reflects how Search Sensei is used in practice: improving access to information across complex environments while respecting security, governance, and operational realities.