Aktify uses data platform to fine-tune conversational AI sales agents
Aktify provides clients with conversational AI agents that conduct thousands of simultaneous SMS sales conversations with prospects, with average customers generating $227,000 in annual revenue and a 19x ROI. To fine-tune these AI agents to client needs, Aktify's data team uses the Databricks Data + AI Platform and dbt to analyze massive data volumes and uncover insights on where prospects drop off the chat funnel, democratizing data access across the organization. This reduced data engineering hours by 80%, cut new employee onboarding time by 95%, and saved six figures annually in IT operational costs.
Overview
Aktify provides clients with conversational AI agents that conduct thousands of simultaneous SMS sales conversations with prospects, with average customers generating $227,000 in annual revenue and a 19x ROI. To fine-tune these AI agents to client needs, Aktify's data team uses the Databricks Data + AI Platform and dbt to analyze massive data volumes and uncover insights on where prospects drop off the chat funnel, democratizing data access across the organization. This reduced data engineering hours by 80%, cut new employee onboarding time by 95%, and saved six figures annually in IT operational costs.
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Inspect the highlighted sourceThe challenge
Aktify needed to drill into massive volumes of data to fine-tune its conversational AI agents, but complex data dependencies (such as SQL Server Integration Services) risked breaking downstream dashboards and made staff afraid to work with production data, preventing data democratization.
The solution
Aktify implemented a lakehouse architecture on the Databricks Data + AI Platform together with dbt to make data transformations simpler, more reliable and testable, using Delta Lake's time travel to streamline troubleshooting, so employees with minimal SQL skills could work directly with the data used to fine-tune its conversational AI sales agents.
Reported business value
Aktify reduced data engineering hours by 80%, cut new employee onboarding time by 95% (from two weeks to half a day), and saved six figures annually in IT operational costs, while its average customer generates $227,000 in annual revenue at a 19x ROI.
Sources
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