Data silos across 300+ products made navigating fiscal regulations slow. A unified AI assistant now securely answers complex user queries.
A provider of digital management solutions serving 2.5 million European customers across a portfolio of more than 300 products in highly regulated domains like accounting, tax, and HR.
The organization wanted to embed conversational assistants across its entire ecosystem to help users navigate complex fiscal environments. However,...
“There’s a lot of hype around AI, we wanted to be more pragmatic. The difficulties users were having in moving through regulated fiscal environments is where we first saw the opportunity for AI to add value.”
Business management and ERP software for SMEs, accountants, and professionals.
Multi-cloud developer data platform for building and scaling applications.
TeamSystem's Enterprise search is part of this use case:
Related implementations across industries and use cases
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Teams tab-hopped to find scattered info. AI now synthesizes answers instantly, getting new hires client-ready in their first month.
Rigid data silos slowed engineering. A unified vector foundation now powers AI agents, accelerating development velocity 4x.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Teams tab-hopped to find scattered info. AI now synthesizes answers instantly, getting new hires client-ready in their first month.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Data silos across 300+ products made navigating fiscal regulations slow. A unified AI assistant now securely answers complex user queries.
A provider of digital management solutions serving 2.5 million European customers across a portfolio of more than 300 products in highly regulated domains like accounting, tax, and HR.
The organization wanted to embed conversational assistants across its entire ecosystem to help users navigate complex fiscal environments. However,...
“There’s a lot of hype around AI, we wanted to be more pragmatic. The difficulties users were having in moving through regulated fiscal environments is where we first saw the opportunity for AI to add value.”
Business management and ERP software for SMEs, accountants, and professionals.
Multi-cloud developer data platform for building and scaling applications.
TeamSystem's Enterprise search is part of this use case:
Related implementations across industries and use cases
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Teams tab-hopped to find scattered info. AI now synthesizes answers instantly, getting new hires client-ready in their first month.
Rigid data silos slowed engineering. A unified vector foundation now powers AI agents, accelerating development velocity 4x.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Teams tab-hopped to find scattered info. AI now synthesizes answers instantly, getting new hires client-ready in their first month.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.