AI

Governed Agent Execution
For Any Workflow

EquilateralAgents™ provides explainable, traceable, and auditable agent execution with task-scoped permissions. Deploy AI agents for software development, payroll processing, compliance automation, content generation—all with complete accountability and zero privilege inheritance.

AI Agents Execute with Your Full Privileges—Can You Explain Why?

❌ Current State

  • • Agent has full user privileges, all the time
  • • Can't explain WHY decisions were made
  • • No audit trail showing reasoning
  • • One AI provider = single point of failure
  • • Can't A/B test different models

✓ EquilateralAgents

  • • Task-scoped permissions (only what's needed)
  • • Complete reasoning chain (fully traceable)
  • • Multi-provider A/B testing (GPT-4 vs Claude vs Gemini)
  • • Cryptographic receipts (tamper-proof)
  • • Explainable outcomes (show regulators)

Universal Agent Governance

Software engineering, payroll, compliance, content—all governed the same way

100%
Explainable
Complete reasoning
100%
Traceable
Full lineage
100%
Auditable
Crypto receipts
A/B
Multi-Provider
Test all models

Open Core (MIT)

22
Production Agents
5
Workflows
Zero
Config
MIT Forever

For: Developers, startups, open source

Enterprise Governance

63+
Total Agents
3x
Consensus
Workflows
🔒
Privacy

For: Regulated industries, sensitive ops

Built for the Community

Our open core isn't crippleware. It's complete, production-ready, and teaches best practices.

Forever MIT

The MIT license is forever. No rug pulls, no bait-and-switch. Open features stay open, always.

Actually Works

22 production-ready agents. Zero config. Real workflows. Not demo-ware—code we use in production.

🎓

Teaching Toolkit

Every agent teaches best practices: code reviews, security patterns, deployment strategies, and more.

The Open Core Includes

22 Production Agents

  • • Code analysis & generation
  • • Security scanning & review
  • • Testing orchestration
  • • Deployment automation
  • • Infrastructure validation
  • • Quality assurance

Advanced Features

  • • Background execution API
  • • Zero-config SQLite/JSON database
  • • MCP protocol (Claude Desktop)
  • • Agent-to-Agent (A/A) communication
  • • Three-tier standards system
  • • 5 production workflows

The Explainability Problem

"The AI agent approved a $500K transaction." Can you prove it was the right decision?

💡

Explainable

Every decision includes the complete reasoning chain

  • • Natural language explanations of why
  • • All data inputs & policy rules evaluated
  • • Risk factors considered
  • • Human-readable for regulators
🔍

Traceable

Complete lineage from user request to final action

  • • Dispatch → Team → Task → Agent → Action
  • • Time-series tracking of every state change
  • • Data provenance (which data, when, why)
  • • Complete accountability chain
📋

Auditable

Cryptographic proof that satisfies regulators

  • • Cryptographic receipts (tamper-proof)
  • • Compliance exports (SOC2, HIPAA, GDPR)
  • • Immutable logs (write-once, append-only)
  • • Complete audit trail
A/B

Multi-Provider A/B Testing

Run the same workflow through different AI models—measure accuracy, cost, and speed

Why This Matters

  • No vendor lock-in: Switch between OpenAI, Anthropic, Google
  • Optimize per task: GPT-4 for code, Claude for writing
  • Cost control: Compare price/performance with real data
  • Risk mitigation: Multi-model consensus for high-stakes

Example:

→ Task: process_invoice
├─ GPT-4: 2.3s, $0.12, 94% confidence
├─ Claude: 1.8s, $0.09, 96% confidence
└─ Gemini: 1.5s, $0.07, 92% confidence
✓ Winner: Claude (best balance)

Any Workflow, Governed Consistently

Software engineering, payroll, content generation, compliance checks—anything that requires explainable, auditable execution.

💻

Software Engineering

Governed code generation, testing, deployment

  • • Code review with explainable suggestions
  • • Security scanning with traceable findings
  • • Deployment with auditable approval chain
💼

Payroll & HR

Process sensitive employee data with accountability

  • • Calculate deductions with explainable reasoning
  • • Per-employee access scoping
  • • Audit trail for every payroll change
✍️

Content Generation

Create content with brand compliance and attribution

  • • Generate posts with citation trails
  • • Brand voice compliance checking
  • • Track which AI wrote which section
💰

Financial Operations

Invoice processing, expense approval, fraud detection

  • • Approve payments with reasoning chain
  • • Fraud detection with explainable risk scores
  • • Multi-model consensus for high-value transactions
💬

Customer Support

AI-powered support with accountability

  • • Response generation with source attribution
  • • Per-customer data access scoping
  • • Escalation with full conversation context
📋

Compliance Automation

GDPR, HIPAA, SOC2 automation with auditable evidence

  • • Data subject rights request fulfillment
  • • Privacy impact assessments with reasoning
  • • Generate audit reports for regulators

The Pattern: Same Governance, Any Workflow

Whether your agents write code, process payroll, or handle customer data—they all get:

Task-Scoped Permissions
Complete Reasoning Chain
Cryptographic Audit Trail
Multi-Provider A/B Testing

How We're Different

EquilateralAgents solves problems that traditional security tools can't address

vs. Traditional IAM (AWS IAM, Azure RBAC)

Capability Traditional IAM EquilateralAgents
Permission Scope ❌ User/role has permissions 24/7 ✅ Task-scoped credentials expire after execution
Audit Trail ❌ "User X accessed DB" (no context) ✅ "Agent Y processed claim Z for reason W"
Explainability ❌ None—just access logs ✅ Natural language reasoning chain
Privilege Inheritance ❌ Child processes inherit parent permissions ✅ Zero inheritance—each task isolated
Multi-Tenant Isolation ❌ Application-level (bug = data leak) ✅ Database-enforced WHERE clauses

vs. Service Mesh (Istio, Linkerd)

Capability Service Mesh EquilateralAgents
Security Scope ❌ Network-level (service A → service B) ✅ Task-level (this specific operation)
Context Awareness ❌ No understanding of why request made ✅ Full reasoning chain in audit log
Data-Level Security ❌ Cannot control which DB rows accessed ✅ Database credentials enforce row-level access
AI Agent Support ❌ Not designed for agent execution ✅ Built specifically for governed agents
Compliance Reporting ❌ Need separate tool for compliance ✅ Cryptographic receipts + compliance exports

vs. Runtime Security (Falco, Aqua)

Capability Runtime Security EquilateralAgents
Approach Detect suspicious behavior after it happens Prevent via task-scoped permissions
False Positives ❌ Alert fatigue from legitimate traffic ✅ No alerts—security enforced by design
Explainability ❌ "Anomalous syscall detected" ✅ "Agent processed claim because [reasoning]"
Compliance ❌ Shows you were breached ✅ Proves breach was impossible
AI-Specific Risks ❌ Cannot detect prompt injection ✅ Multi-model consensus catches manipulation

These tools solve different problems. You need all of them.

EquilateralAgents complements your existing IAM, service mesh, and runtime security by adding task-level governance specifically designed for AI agent execution.

See How They Work Together

Choose Your Path

Three ways to leverage governed agent execution

🚀

Open Core

Start building with 22 production-ready agents. MIT licensed forever. No time bombs, no limitations.

  • ✅ 22 production agents (code review, testing, deployment)
  • ✅ Complete documentation & examples
  • ✅ Community support (Discord)
  • ✅ Zero cost, zero strings
Clone on GitHub
🏢

Enterprise Adoption

Deploy governed agents at scale with 63+ enterprise agents, cloud orchestration, and SLA-backed support.

  • ✅ All 22 open core + 63+ enterprise agents
  • ✅ Cloud orchestration & scaling
  • ✅ SSO/SAML, audit exports, compliance tools
  • ✅ SLA-backed support & training
Contact Enterprise Team
🛠️

White Glove Modernization

Fixed-price replatforming service. We analyze your legacy systems and build governed agent workflows.

  • ✅ Legacy system analysis & mapping
  • ✅ Custom agent development
  • ✅ Testing, deployment, training
  • ✅ Fixed price (scoped after analysis)
Start Modernization

📋 White Glove Modernization Requirements

To receive a fixed-price quote for application modernization, we need:

Required for Analysis:

  • Source code access (or detailed system architecture docs)
  • Existing test suite (if available—we can write tests if needed)
  • Current workflow documentation (screenshots, SOPs, user guides)
  • NDA in place (we provide standard NDA or work with yours)

What We Deliver:

  • 🎯 Fixed-price proposal based on complexity & size
  • 🎯 Timeline estimate (typically 4-16 weeks)
  • 🎯 Success criteria (agreed upfront)
  • 🎯 Training & handoff (your team can maintain)

Note: We sign NDAs before reviewing any proprietary code. Analysis phase (1-2 weeks) is free for qualified projects. Fixed-price engagement only starts after mutual agreement on scope and deliverables.