Trusted answers on a national telco's own data, at a fraction of the cost
98%+
Accuracy
5x
Fewer tokens
90%+
Less analyst time
How we approached it
We deployed Xavier, our analytics agent, inside the telco's environment. Xavier was pre-configured on the client's domain context so it could answer commercial questions in plain English, return the working and the source, and run the analysis without data leaving the client's walls.
What was in the way
A major Australian telco wanted trusted answers to commercial questions from its own data, without moving that data to a vendor cloud and without the cost and latency of a general-purpose analytics agent.
What changed
Xavier hit 98%+ accuracy measured against the client's own evaluation set. It answered questions with 5x fewer tokens on average than a tier-1 cloud-native platform, and up to 75x fewer on some questions, from context optimisation. Recurring analytics tasks that previously took two to four hours of engineer and analyst effort were answered in under three minutes, an estimated 90%+ reduction in that time. The system ran entirely inside the client's environment, under the client's governance.
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