AI Agents
AI Agents That Work Together
Complex enterprise problems require teams of specialized agents. BrainShift orchestrates them while enforcing permissions, governance and auditability.
Coordinated investigation
Agent design
Agents with defined authority
Scoped permissions
Each agent inherits role-based access to systems, knowledge and actions, nothing more.
Human-in-the-loop
Consequential actions route to reviewers with the reasoning and evidence attached.
Full auditability
Every retrieval, model call and decision is logged and replayable for review.
Capabilities
What enterprise agents do in BrainShift
- Retrieve authorized enterprise knowledge
- Call enterprise APIs and databases
- Apply business rules and validations
- Coordinate with other agents
- Escalate to human reviewers
- Write back to enterprise systems on approval
- Produce cited, explainable output
- Report execution metrics to observability
How it works
From a task to a governed AI agent
BrainShift agents take on defined work, use approved tools and knowledge, and hand decisions back to people when needed.
01
Define
Set the agent's role, goals, tools, knowledge and limits in Studio.
02
Coordinate
Combine specialized agents that research, analyze, act and review.
03
Supervise
Add approval steps for actions that matter.
04
Improve
Monitor results and refine instructions and rules over time.
Inside the product
Core components
Specialized agents
Each agent focuses on one job and does it well.
Tools
Agents call approved systems, APIs and actions.
Memory
Agents keep context across steps and sessions, within policy.
Multi-agent workflows
Agents pass work between them in a defined flow.
Event triggers
Agents start on a schedule, an event or a request.
Approvals
People confirm high-impact actions.
Connected platform
How it works with the rest of BrainShift
Security and deployment
Runs under your control
- ▸Runs on premises, in a private or sovereign cloud, or fully disconnected.
- ▸Role-based access aligned with your directory and data permissions.
- ▸Every result traceable to its source, with a full audit trail.
- ▸People review and approve high-impact findings before action.
Questions
Frequently asked
Are agents used in production?
Yes. For example, CSP built multi-agent systems on BrainShift that monitor thousands of retail branches and check websites for compliance.
Can an agent act on its own?
Within the limits you set. High-impact actions wait for human approval.
Can we see what an agent did?
Yes. Every step, tool call and decision is logged.
Which models do agents use?
Any model approved in Gateway; different agents can use different models.
Deploy your first enterprise AI agent
Bring your data, knowledge, AI models, workflows, and AI agents together through one secure enterprise AI platform.