WGA is a multidisciplinary engineering consultancy delivering services across a wide range of sectors and technical disciplines. With expertise spread across teams nationally, one of the organisation’s greatest strengths was also one of its biggest challenges: helping people quickly find the knowledge, information and internal expertise they needed to do their best work.
As the business grew, creating easier pathways to connect people with both information and specialists became increasingly important for supporting collaboration, sustaining growth and efficient project delivery.
Like many growing organisations, WGA had accumulated valuable knowledge across multiple systems and locations. Technical documents, project information and specialist expertise were distributed across more than 20 SharePoint sites, making it difficult for employees to know where to look or who to ask.
As a result, teams often experienced:
To unlock the potential of AI-driven knowledge discovery, WGA first needed a strong information architecture foundation.
WGA wanted Knowledge Share to be the cornerstone of their working smarter strategic initiative; to connect people across all sectors of the business to work smarter.
Successful implementation of Knowledge Share will lead to improvements in managing risk, improving efficiency, client experience and employee satisfaction via the capture and sharing of critical knowledge.
PlanB partnered with WGA to design and implement Knowledge Share – a (future AI-enabled) knowledge discovery platform built on strong information architecture principles. The approach focused not just on introducing AI, but on creating the right conditions for AI to succeed. By combining standardised information management practices with AI-powered search capabilities, WGA established a single, trusted source of organisational knowledge.
