Building AI-NativeOrganizations
MSR Research is the infrastructure company behind autonomous, policy-aware AI systems. From 40 years of enterprise consulting to the world's first Agent-Native Organization — 34 agents, 6 teams, real production systems.
Our Mission
MSR Research builds the infrastructure for AI-native organizations — systems where AI agents are team members with contracts, handoff rules, and earned trust, not tools bolted onto existing workflows.
Our production systems include CivicGrantsAI for municipal funding, intelligence subscriptions for daily decision support, and AI policy platforms for governance. Each is powered by the same ANO infrastructure: research tunnels, adversarial review, publishing gates, and autonomous quality scoring.
AI-Native by Design
We don't bolt AI onto existing workflows. MSR Research was built around agents from the start — with contracts, handoff rules, and progressive trust.
Measured Autonomy
Agents earn trust through daily performance scoring across 5 dimensions. No blind automation — every action is auditable and accountable.
Outcome-Driven
Every system ships with quality gates, publishing thresholds, and adversarial review. Results matter more than activity.
Policy-Aware Governance
From municipal compliance to enterprise AI policy, governance is built into the infrastructure — not added as an afterthought.
34 Agents. 6 Teams.
MSR Research operates as an Agent-Native Organization — agents are team members, not tools
Platform Engineering
11 agents
Frontend, backend, DevOps, QA, security, integrations, docs, AI optimization, data science, ML
Municipal Intelligence
8 agents
Grant research, writing, compliance, budgets, impact analysis, communications, analytics, marketing
Executive Advisory
2 agents
CEO and CTO strategic advisory
Product & Policy
4 agents
Product management, scrum, UX research, AI policy advisory
Orchestration
2 agents
Multi-agent coordination and technology ecosystem monitoring
Stories Editorial
7 agents
Editor-in-chief, news, city beat, community, copy editing, production, circulation
See ANO Infrastructure in Action
34 agents. Research tunnels. Adversarial review. Publishing gates. This is what AI-native organizations look like in production.