Role
Define what the agent is responsible for and where it should escalate.
AI agents · how it works
Build intelligent workflows with AI agents.
Configure a role-based agent, connect the tools it is allowed to use, set the approval rules, and run it hosted, private, or on your own GPU.
This is the builder's view of BlueMouse.ai — how an agent is assembled and governed. Want results by department instead? See industry workflows and outcomes.
8role templates
20+tool connectors
3deployment models
Fullaudit trail
Build your agent
Configure an agent in seconds.
Pick a role, choose the tools it can use, and set the approval rules. The agent spec updates live — this is exactly how we scope a real build.
1 · Choose a role
2 · Connect tools
3 · Set approval rules
What is an AI agent?
More than a chatbot.
A chatbot answers questions. An AI agent completes work by retrieving knowledge, following workflow steps, using approved tools, requesting approvals, and learning from feedback.
Chatbot
AI Agent
Answers questions
Completes tasks
Requires manual prompting
Follows workflows
Limited context
Uses business knowledge
No system actions
Connects to approved tools
Minimal oversight
Governed by permissions
Agent anatomy
Every agent has a role, tools, boundaries, and review points.
Knowledge
Connect approved documents, data, systems, and policies.
Tools
Give the agent access to the actions it is allowed to perform.
Approvals
Set human review rules for sensitive, uncertain, or high-impact actions.
Metrics
Measure time saved, accuracy, escalations, usage, and cost per workflow.
Iteration
Improve prompts, tools, retrieval, and approval flows using real feedback.
Where it runs
Deploy the same agent on your terms.
The architecture changes; the agent does not. Choose the environment that fits your security, data residency, and cost requirements.
Commercial model API
Fastest to launch. Uses leading hosted models, with your data boundaries, permissions, and approvals enforced around them.
Private cloud open-source
Open models in your own cloud for tighter control over data residency, customization, and long-term cost.
On-premise GPU
Runs entirely inside your network for the most sensitive workflows, full data control, and predictable cost at scale.
AI workforce
Build the first agent your team will actually use.
We help you choose a practical first workflow, design the approval path, and deploy the agent in the right environment.