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.
Scheduling 1,900 roles manually took days of back-and-forth. Conversational AI now books interviews instantly, syncing calendars.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
SLab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.