Building a policy assistant in-house meant a six-month wait. With watsonx, they launched a secure Slack bot in just one month.
A data security startup founded in 2021 helps organizations unify data silos and automate access policies for complex enterprise environments.
The company wanted to add a conversational interface to accelerate adoption but faced a six-month development timeline if built in-house. They also...
“With AI supporting natural language queries, we give users the freedom to stay focused on their work, while intelligent policy enforcement runs silently in the background.”
AI-driven data access platform for automated governance and policy enforcement.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Related implementations across industries and use cases
Managing access for thousands was a manual drain. AI now predicts usage patterns to automatically lock down dormant data.
Engineers lost 50% of time searching systems. AI now correlates data for instant answers, boosting daily ticket closures by 40%.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Compliance meant manually scrubbing PDFs and emails. AI agents now map scattered data to regulations and draft the reporting text.
Rigid workflows required custom code per bank. Now, an adaptive engine configures rules instantly, automating manual research.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Sellers lost hours to manual research. AI agents now prioritize leads and draft briefs, cutting prep time by 80%.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Building a policy assistant in-house meant a six-month wait. With watsonx, they launched a secure Slack bot in just one month.
A data security startup founded in 2021 helps organizations unify data silos and automate access policies for complex enterprise environments.
The company wanted to add a conversational interface to accelerate adoption but faced a six-month development timeline if built in-house. They also...
“With AI supporting natural language queries, we give users the freedom to stay focused on their work, while intelligent policy enforcement runs silently in the background.”
AI-driven data access platform for automated governance and policy enforcement.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Related implementations across industries and use cases
Managing access for thousands was a manual drain. AI now predicts usage patterns to automatically lock down dormant data.
Engineers lost 50% of time searching systems. AI now correlates data for instant answers, boosting daily ticket closures by 40%.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Compliance meant manually scrubbing PDFs and emails. AI agents now map scattered data to regulations and draft the reporting text.
Rigid workflows required custom code per bank. Now, an adaptive engine configures rules instantly, automating manual research.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Sellers lost hours to manual research. AI agents now prioritize leads and draft briefs, cutting prep time by 80%.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.