Governance-First · MCP + A2A + SLIM Native

Industrial AI
under control.

Deploy governed AI teams at enterprise scale. Federate across organizations. Prove compliance mathematically. Production in days, not months.

Or take our 5-minute AI Governance Assessment · Discover Your Shadow AI
106
Permissions
Days
To Production
Zero
Data We See
7
Compliance Packs

Block AI and fall behind.
Allow AI and lose control.

Every department wants AI agents. Your job is to let them — safely.

67%

Shadow AI

Two-thirds of employees already use AI tools without IT approval. You can't govern what you can't see.

87%

Pilot Failure

Most enterprise AI initiatives never reach production. They die in security review.

$0

AI ROI

Millions spent on AI strategy. Boards want outcomes. You have demos.

Source: Salesforce Research, Gartner, McKinsey

Whether you govern it, buy it, or build it

MeetLoyd works for you.

See all roles: CCO · CFO · COO · CRO · Internal Audit →

AI teams with enterprise DNA

Not chatbots. Not copilots. Governed AI teams that work like your best employees.

🪪

Real Identities

Every agent has a Google Workspace identity. Not to make them "human" — to know exactly which agent did what, when, and why. Accountability requires identity.

👁️

Full Audit Trail

Every action logged. Every decision traceable. Export to your SIEM. Meet compliance requirements without retrofitting.

🔐

BYOK Architecture

Your API keys, your data sovereignty. We're the control plane, not the data plane. Your prompts never touch our servers.

🤝

Human-in-the-Loop

Configurable escalation. Approval workflows. Agents propose, humans dispose. Control where it matters.

Deploy in Hours

Pre-built teams for Sales, Support, DevOps, Marketing, HR. Configure, connect, deploy. Days, not months.

🔄

Framework Agnostic

Import from LangChain, CrewAI, AutoGen. Export production-ready code. Zero vendor lock-in.

Click deploy. Gain colleagues.

You're not buying a framework to build on. You're hiring a team that's ready to work.

1

Pick a team

Free presets for Sales, Support, DevOps, Marketing, HR. Each comes with agents, workflows, and best practices built in.

2

Watch them learn

Your agents discover your context. They scan your docs, understand your tools, adapt to your processes. No manual configuration.

3

Work together

They show up in your inbox, your calendar, your Slack. They propose, you approve. They execute, you oversee. Colleagues, not tools.

Your Company
Sales Dept
SDR Team
👤 You 🤖 SDR Agent 🤖 Research Agent
Support Dept
L1 Team
👤 Lead 🤖 Triage Agent 🤖 Response Agent

The Manager/Lead Pattern

Humans set strategy. AI handles execution.

Every human becomes a manager with AI leads. You make decisions, set priorities, approve critical actions. Your agents handle the rest — research, outreach, follow-ups, reporting.

Mirror your real org structure: departments become apps, teams become hybrid teams with AI agents and human users working side by side. Same hierarchy, same accountability, new capabilities.

10x Output per human
100% Human oversight

Proactive, not reactive

Your AI team doesn't wait for commands. They watch, learn, and act — surfacing opportunities, flagging risks, moving work forward. You set the guardrails, they run the plays.

Results, not features

23 expert-designed team blueprints. Configure in minutes, value in days.

Built on open standards

The only platform with both MCP and A2A. Production-ready, not announced.

100% Complete

MCP — Model Context Protocol

Anthropic's standard for tool integration. Connect agents to any system with a unified interface.

  • OAuth + SSO integrations
  • Custom MCP server builder
  • Credential vault
100% Complete

A2A — Agent-to-Agent Protocol

Google's standard for agent interoperability. Agents discover and collaborate across organizations.

  • Agent Cards & discovery
  • Cross-tenant federation
  • Push notifications

Enterprise AI shouldn't cost $650/user/month

Production-grade governance without the enterprise tax.

Capability MeetLoyd Agentforce Copilot Studio DIY (LangChain)
Pricing $399-1,499/mo total $125-650/user/mo $30/user/mo 6-12mo engineering
Time to Production Days Weeks-months Weeks 6-12 months
Governance 106 permissions + PVP Basic Basic Build yourself
Protocols MCP + A2A + SLIM Salesforce Microsoft Varies
Data Residency BYOK mandatory Their cloud Their cloud Your choice
Vendor Lock-in Zero — open standards Salesforce Microsoft Framework

See detailed pricing comparison →

Your competitors aren't waiting for permission.

The enterprises deploying governed AI teams today will define the next decade.
Discover what it takes for your organization to go agentic.