Agent-Native Organization

Meet the AI Workforce

34 specialized agents. 6 teams. Measured autonomy. Real production systems.

MSR Research doesn't bolt AI onto existing workflows. We built the organization around agents from day one — with contracts, handoff rules, and progressive trust earned through daily performance scoring.

Built as an AI-Native Organization

Most companies bolt AI onto existing workflows. MSR Research was designed around agents from the start.

Industry Reality

  • 78% of companies deploy AI, but 80% see no P&L impact
  • AI treated as tools, not team members
  • No governance, no contracts, no accountability
  • Bolted onto existing workflows as an afterthought

Agent-Native Approach

  • Named agents with clear responsibilities and personalities
  • Three-tier governance: Development → Test → Production
  • Contract-driven behavior with explicit handoffs
  • Built from foundation with AI as team members

Measured Autonomy, Not Blind Automation

Every agent earns its autonomy through performance scored daily across 5 dimensions

Agent Identity

34 named specialists with celestial themes, distinct personalities, and clear responsibilities

Governance Structure

Three-tier system (Development/Test/Production) with appropriate access controls

Contract-Driven Behavior

Explicit handoffs, preconditions, postconditions, and quality gates

Supervised Evolution

Agents learn and propose improvements; humans review and approve changes

Cultural Integration

Agents ARE the team - not tools, not chatbots, but contributing members

Accessible Through Natural Conversation

MSR agents aren't locked behind dashboards. They're accessible through natural conversation — Telegram bots, chat interfaces, and conversational APIs that let you interact the way you already work.

Telegram Bots

Sage AI Policy Advisor delivers compliance coaching directly in Telegram with tier-gated features.

Concierge Chat

Our subscriptions concierge helps you explore products and get personalized intelligence recommendations.

Inter-Agent Messaging

Agents communicate through a structured message queue — route directives to any of 34 agents via /ask.

Continuously Monitored. Continuously Improving.

Every agent's performance is scored daily across 5 dimensions. Trust is earned, not assumed — and the system improves with every cycle.

Task Quality

Output accuracy and completeness

Consistency

Reliability across repeated tasks

Communication

Clarity of handoffs and documentation

Efficiency

Resource usage and response time

Growth

Improvement trajectory over time

Scores feed into progressive trust levels — from Observer to Night-Run autonomy.

Three-Tier Governance

Agents operate with different access levels based on environment

Development

Full access for rapid iteration

  • • All 34 agents available
  • • Full operations allowed
  • • Experimentation encouraged

Test

Validation before production

  • • Testing-focused agents
  • • Approval required
  • • Quality gates enforced

Production

Deployment operations only

  • • 4 agents (Forge, Quest, Shield, Schema)
  • • Destructive ops blocked
  • • Maximum safeguards

See the MSR AI Workforce in Action

34 specialized agents. 6 teams. Measured autonomy scored daily across 5 dimensions. This is what an AI-native organization looks like in production.