Build Agents That Know Their Boundaries
Build Agents provides the development environment for creating AI agents that are governed by default. Every agent starts with an identity, an authority scope, and a policy context — not as an afterthought, but as the foundation of its design
The Problem
Today's Agents Are Built Without Boundaries
Agent frameworks focus on capabilities: what tools an agent can call, what models it can use, what tasks it can perform. But they ignore the question enterprise deployment demands: what is this agent allowed to decide, and what evidence proves it decided correctly?
Governance Thought
Governance is added later instead of built into foundation
Reactive compliance controls
Patchwork guardrail additions
No policy-first architecture
Security added post-build
Oversight lacks structure
Outcome: Agents operate unpredictably without enforceable foundational governance controls
Authority Undefined
Agents operate without identities, roles, or defined authority levels
No machine RBAC
Shared API credentials
Undefined permission scopes
No authority boundaries
No accountability tracking
Outcome: No clear ownership or traceable accountability for agent decisions
Untested Decisions
Agents tested for capability, not compliance or decision validity
Functionality over compliance
No policy validation
No decision audit
No risk simulation
Payment without authorization
Outcome: Agents execute actions without proving alignment to policy requirements
How It Works
Governance-First Agent Development
Build Agents inverts the typical development flow: start with authority and constraints, then add capabilities within those boundaries
Define Identity
Every agent gets an identity, a role, and an authority scope before any capabilities are added. The identity determines what the agent can access and what decisions it can make
Add Capabilities
Add tools, models, and integrations within the agent's authority boundary. Capabilities that exceed the agent's authority scope are structurally unavailable
Test & Deploy
Test agents against policy gates before deployment. Simulate decisions, verify authority enforcement, and generate compliance reports
Core Capabilities
What Build Agents Delivers
Build Agents delivers enterprise-ready governance, identity control, and policy enforcement across every agent workflow and decision boundary
Agent Identity & Registry
Central inventory of every agent — what it accesses, what it's authorized to do, its decision history, and its current scope. Machine-grade RBAC
Visual Agent Designer
Design agent workflows visually with drag-and-drop tool binding, authority scoping, and policy gate placement. See governance before you ship
MCP Native Integration
Build agents that natively communicate via Model Context Protocol with full governance at every interaction boundary
Task Templates
Pre-built, governance-approved task patterns for common enterprise workflows. Start governed, customize within boundaries
Policy Simulation
Run hypothetical decisions through policy gates before deployment. Verify that authority enforcement works as expected across edge cases
Agent Performance Dashboard
Monitor agent accuracy, latency, cost, and compliance KPIs. Measure what matters, improve continuously
Use Cases
What Teams Build
Build governed agents tailored to each team’s workflows, enforcing authority limits, auditability, and policy-aligned automation across critical operations
Integrations
Works With Your Agent Stack
Build Agents integrates with existing agent frameworks and enhances them with governance
Agent Frameworks
Model Providers
Tool Platforms
Deployment
FAQ
Frequently Asked Questions
No. Build Agents wraps existing frameworks like LangChain, CrewAI, and AutoGen with governance capabilities. Your agent logic remains unchanged, while identity, authority scoping, and policy gates are added
Traditional agent development focuses on capabilities first and adds governance later. Build Agents flips this: you define identity, role, authority, and policies upfront, then add capabilities within those boundaries—making governance structural, not optional
Build Agents is model-agnostic. Agents can use OpenAI, Anthropic, Google Gemini, Mistral, Cohere, or local LLMs. Governance operates independently, allowing model changes without altering policy enforcement, which occurs at the decision infrastructure layer
Yes. Policy Simulation lets you test hypothetical decisions through all policy gates before deployment. It verifies authority, simulates escalations, tests edge cases, and generates compliance reports safely in a sandboxed environment
Ready to See Build Agents in Action?
See how Build Agents deploys over your existing infrastructure in 4 weeks — with structural governance from day one