← Back to Aktify uses data platform to fine-tune conversational AI sales agents

Source proof for Aktify uses data platform to fine-tune conversational AI sales agents

Source-bound proof

Verified source excerpts for every supported field

Each colour maps a published value to the exact source passage used to support it. Only bounded excerpts are public; administrators can inspect the complete captured source.

13 fields supported

Title

Aktify uses data platform to fine-tune conversational AI sales agents

derived · high
…average customer generates $227,000 in revenue per year and achieves a 19x ROI. To fine-tune its AI agents to client needs, Aktify must be able to drill into massive volumes of data and find overlooked insights. Using the Databricks Data + AI Platform and dbt, Aktify has taken the manual ef…

Description

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.

derived · high
…S conversations with sales prospects at the same time. With Aktify’s solutions, the average customer generates $227,000 in revenue per year and achieves a 19x ROI. To fine-tune its AI agents to client needs, Aktify must be able to drill into m…
…mer Stories / Aktify CUSTOMER STORY Converting customers with conversational AI 80% Reduction in data engineering hours, reducing costs 95% Reduction in time to onboard new employees 6-figure Annual savings in IT he…

Company

Aktify

classification · high
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Aktify CUSTOMER STORY Converting customers with conversational AI 80% Reduction in dat…

Industry

Technology & Software

classification · high
…oser to our vision of organization-wide data literacy.” Share this post Details Industry : Technology and Software Use Case : Data Warehousing , Data Engineering Cloud : AWS Product : Databricks…

Deployment model

Cloud

classification · high
…dustry : Technology and Software Use Case : Data Warehousing , Data Engineering Cloud : AWS Product : Databricks SQL , Delta Lake More from Aktify Ready to get started? Tr…

Problem

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.

derived · high
…ce is great, but in practice, you need the right tools to prevent bottlenecks. “I knew if we used SQL Server Integration Services (SSIS), everyone would be afraid to work with data in production because it would probably break something downstream,” Smith explained. “We would probably have people complaining that we broke 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.

derived · high
…isk out of data transformations Seeking to minimize complexity around its data, Aktify implemented lakehouse architecture to make its data management more simple, flexible, and cost-effective. The company also began using dbt to make data transformations easier and more reliable. Right away, Smith and his team felt more comfortable letting employees with min…

Technology

Databricks SQL, Delta Lake, dbt

classification · high
…hnology and Software Use Case : Data Warehousing , Data Engineering Cloud : AWS Product : Databricks SQL , Delta Lake More from Aktify Ready to get started? Try Databricks for free Learn more about…

Use case type

Conversational assistant

classification · high
…a Demo Login Contact Us Try Databricks Customer Stories / Aktify CUSTOMER STORY Converting customers with conversational AI 80% Reduction in data engineering hours, reducing costs 95% Reduction in time t…

Headline outcome

derived · high
…mer Stories / Aktify CUSTOMER STORY Converting customers with conversational AI 80% Reduction in data engineering hours, reducing costs 95% Reduction in time to onboard new employees 6-figure Annual savings in IT he…

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.

derived · high
…without wrapping a lot of red tape around their hands. With Databricks and dbt, we’ve been able to onboard employees into working with our data systems in half a day, compared to two weeks previously, and if they have some SQL experience, they’re usually comfortable with the sys…
…S conversations with sales prospects at the same time. With Aktify’s solutions, the average customer generates $227,000 in revenue per year and achieves a 19x ROI. To fine-tune its AI agents to client needs, Aktify must be able to drill into m…

AI capabilities

Conversational AI

classification · high
…ify aims to help its clients convert their customers through conversational AI. Clients can use a conversational AI agent to conduct thousands of SMS conversations with sales prospects at the same time. With Aktify’s solutions, the average customer generates $227,000 in revenue per…

Deployment options

cloud

classification · high
…dustry : Technology and Software Use Case : Data Warehousing , Data Engineering Cloud : AWS Product : Databricks SQL , Delta Lake More from Aktify Ready to get started? Tr…
Capture details
Captured
18 Sept 2026, 06:04 UTC
Extractor
fetch-strip@1
Snapshot hash
7fb2b61e1d6d101f3565d0b27ae3a2a2534fb6ef071ef431a3650c9b06034ede