Stockland Builds AI Assistant as a Bridge Into SAP

Why It Matters

By eliminating cumbersome SAP navigation, Stockland boosts operational efficiency and empowers field staff with real‑time financial insight, a competitive edge in the property development sector.

Key Takeaways

• Sage serves 700 users across property development teams
• Over 12,000 interactions recorded within first months
• 95% helpful rating indicates strong user satisfaction
• Built on Amazon Bedrock, deployed inside Microsoft Teams
• Reduces SAP query time from ~6 minutes to seconds

Pulse Analysis

Enterprise resource planning systems like SAP hold critical financial data, but their intricate interfaces often become a barrier for non‑technical staff. Stockland’s decision to embed an AI assistant directly into Microsoft Teams reflects a broader shift toward meeting users where they already collaborate. By translating natural‑language requests into SAP queries, Sage removes the need for multiple clicks, code memorization, and security‑level navigation, delivering answers in seconds rather than minutes. This approach not only streamlines decision‑making but also democratizes data access across field and office environments.

The technical backbone of Sage combines Amazon Bedrock’s large‑language‑model capabilities with the familiar Teams UI, creating a seamless user experience that required minimal training. After an 18‑week development cycle, the bot has already engaged 700 users, generating more than 12,000 interactions and earning a 95% helpfulness rating. Those metrics translate into tangible productivity gains: assuming an average five‑minute SAP lookup, the tool saves roughly 58,000 employee minutes—or nearly 970 hours—each month. The built‑in monitoring agent further accelerates improvement cycles by flagging unhandled requests and feeding them directly into the product backlog.

Stockland’s rollout signals a maturing market for AI‑driven enterprise assistants, especially in industries where real‑time financial insight drives project outcomes. As more firms adopt similar solutions, we can expect a cascade of use cases beyond procurement—such as contract compliance, risk assessment, and predictive budgeting—being layered onto existing ERP ecosystems. The success of Sage underscores the strategic value of integrating generative AI with legacy systems, offering a blueprint for other organizations seeking to unlock hidden data value while keeping user friction to a minimum.