Give agents safe data access
Controlled access for useful, trustworthy AI agents
The problem
Useful agents need access. Trusted agents need boundaries.
Without access: Not Useful
Agents cannot reach the tools and data where real work happens, so they stay shallow and unhelpful.
With too much access: Not Trustworthy
Agents get broad access to email, documents, and internal systems, which makes them difficult to trust.
DataBox gives agents the right data and actions for a specific task without opening everything.
The solution
Let agents work with real business context
AI agents become far more useful when they can work with the systems teams already rely on.
The goal is not maximum access. The goal is the right access for the task.
What this unlocks
Practical ways teams use DataBox
Email assistance
Let agents help with triage, drafting, follow-up, and inbox workflows without exposing everything by default.
Research and summarization
Allow agents to work across selected documents and knowledge sources to produce grounded summaries and answers.
CRM and account preparation
Give agents the context they need to prepare notes, update records, and support customer-facing work.
Internal workflow support
Enable agents to help across tools and systems for clearly defined internal processes.
Why teams care
The missing layer between powerful agents and real-world trust.
Safer access
Agents get only the data and actions they actually need.
More useful agents
Real access to business systems makes agents practically valuable, not just impressive in demos.
Better behavior
Task-specific access helps agents perform more reliably, with less drift and less irrelevant context.
Built for trust, not just connectivity
Stay in control as agent usage grows.
DataBox helps teams stay in control as agent usage grows.
DataBox is designed for teams that want agents to be useful in the real world, without introducing avoidable risk.
Final call to action