Operations
Confirm alternative capacity and revised delivery dates.
Ask the Metabuild AI Agent about a supplier disruption. See it reuse a trusted query, answer a follow-up and put a new query forward for analyst review.
Ask a question. Follow the evidence. Keep the conversation going.
Read how it works ↓
Follow the supplier disruption in the guided journey, or explore the story below.
Illustrative scenario with fictional records. The walkthrough runs locally; no live business systems or AI services are called.A supplier update alone cannot tell you what is exposed. Metabuild connects it to the orders, deliveries and payments that depend on that supplier.
How the AI connection works ↗One question. Four parts of the business. A shared view of the impact.

“Three customer orders are exposed, with R 900,000 in linked order value.”
The agent finds an existing query vetted by a data analyst. That known query carries high confidence in its reviewed logic. Metabuild presents the result as a readable answer with the affected orders and their evidence.
A new question can require a custom query. Its answer stays provisional until the analyst has vetted the new logic.
Query confidence and data quality are different: even a vetted query needs current, complete sources. Order value describes delivery exposure, not a forecast loss.
At 10:15, replacement stock is confirmed for one order. Explore how a new delivery update changes the exposed orders, linked payments and proposed response.
R 900,000 linked order value
One confirmed change removes this order from the exposed set.
R 480,000 linked order value
Selected tools help prepare the work. Responsibilities and approval rules determine who can take it forward.
Confirm alternative capacity and revised delivery dates.
Review notice obligations before promising a new date.
Review the estimate and authorise any additional spend.
Use the same evidence to prepare an urgent board briefing.
Continue to Urgent Board Report