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.”
Velotix's Data access assistant is part of this use case:
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.
Manual refactoring of deprecated APIs slowed platform upgrades. Using an AI partner, developers automated the uplift, saving 160+ hours.
Engineers lost 50% of time searching systems. AI now correlates data for instant answers, boosting daily ticket closures by 40%.
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.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
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.”
Velotix's Data access assistant is part of this use case:
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.
Manual refactoring of deprecated APIs slowed platform upgrades. Using an AI partner, developers automated the uplift, saving 160+ hours.
Engineers lost 50% of time searching systems. AI now correlates data for instant answers, boosting daily ticket closures by 40%.
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.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.