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.
Velotix's Data access assistant is part of this use case:
Related implementations across industries and use cases
Manual refactoring of deprecated APIs slowed platform upgrades. Using an AI partner, developers automated the uplift, saving 160+ hours.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
A 500-component architecture slowed developers. A unified data layer runs AI document checks, freeing human brokers for complex advising.
Manual vendor reviews took days, masking duplicate subscriptions. Now, an AI agent verifies SOC 2 compliance and flags upcoming renewals.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
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.
Velotix's Data access assistant is part of this use case:
Related implementations across industries and use cases
Manual refactoring of deprecated APIs slowed platform upgrades. Using an AI partner, developers automated the uplift, saving 160+ hours.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
A 500-component architecture slowed developers. A unified data layer runs AI document checks, freeing human brokers for complex advising.
Manual vendor reviews took days, masking duplicate subscriptions. Now, an AI agent verifies SOC 2 compliance and flags upcoming renewals.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.