
110True helps enterprise teams design and deploy agentic AI systems that hold up in production by building human decision points, accountability, and governance into the architecture.
We work with enterprise teams to move agentic AI beyond pilots by designing systems that account for human judgment, risk, and real-world constraints.
MV/2 Platform
MV/2 is our human orchestration platform for agentic systems. It provides structured human handoffs, intelligent routing, decision capture, and auditability—giving teams production-ready oversight without reinventing infrastructure.
Human-Aware Architecture
We identify where human judgment is required across agentic workflows and design explicit decision paths for approvals, exceptions, reviews, and escalations.
Agentic Workflow Design
We design and implement agentic workflows using modern frameworks so agents can reason, pause, and escalate instead of failing silently.
Oversight Triggers & Confidence Boundaries
We help teams define when agents proceed, stop, or ask for help—based on confidence thresholds, business risk, and policy constraints.
System Integration
We work with legal, compliance, and operational stakeholders to ensure agentic workflows support auditability, explainability, and clear ownership.
Governance & Accountability
We work with legal, compliance, and operational stakeholders to ensure agentic workflows support auditability, explainability, and clear ownership.
Production Readiness & Hardening
We prepare agentic systems for scale, scrutiny, and long-term operation in real enterprise environments.
"110True helped us quickly align AI usage across our entire engineering department, massively reducing code review efforts, speeding up deployment cycle times, and boosting client satisfaction by 38%. This has been a nothing short of a game-changer for my team."
Head of Engineering
Oomph, Inc.
Our research explores why agentic systems break in production—and how human orchestration changes the outcome.

Activation
How our AI Activation Session helped a software development consultancy move from fragmented AI adoption to strategic implementation with prioritized initiatives and measurable early results.

Development
MCP and A2A address a similar fundamental challenge from different angles, and many organizations will benefit from implementing both approaches in tandem.

Enterprise
Unlock developer potential with GitHub Copilot. Learn the 5 critical steps to successfully implement AI-powered coding assistance in your enterprise team.
If your agentic AI initiatives are slowing down in production, the problem is rarely the model. It’s the system around it.