Blogs | PathFwd: Digital Twin for AI Agent Simulation & Orchestration

BLOG

Check our latest blog posts

Can Your AI Deployment Avoid the 95% Failure Rate MIT Warns About?

In early 2025, MIT's Project NANDA published a blunt reality check: only 5% of enterprise GenAI pilots are showing meaningful P&L impact. The other 95% stall—not because the tech doesn't work, but because the business never really learns how to use it.

Adam McCombs

Artificial Intelligence

6 min read

Why Agentic Discovery is the Missing Step in AI Deployment

Over the past year, we’ve seen a surge of companies rebranding themselves as “AI-first.” Yet just as quickly, many are quietly walking those promises back.‍Take Duolingo. After announcing it would go “AI-first” and eliminate contractors in favor of generative agents, the company faced immediate backlash. Days later, CEO Luis von Ahn clarified:

Adam McCombs

Artificial Intelligence

6 min read

Simulation is the New MVP: Validate Before You Build

In the traditional world of software products, the MVP (Minimum Viable Product) revolutionized how teams learn. It taught us to test early, fail fast, and learn our way toward value. But here’s the uncomfortable truth: MVP thinking breaks down when applied to AI agents.

Adam McCombs

Artificial Intelligence

6 min read

Can Your AI Deployment Avoid the 95% Failure Rate MIT Warns About?

Adam McCombs

Artificial Intelligence

6 min read

Why Agentic Discovery is the Missing Step in AI Deployment

Adam McCombs

Artificial Intelligence

6 min read

Simulation is the New MVP: Validate Before You Build

Adam McCombs

Artificial Intelligence

6 min read

From Discovery to Deployment: Connecting Models to Live Data

In our last post, we explored why simulation is the new MVP for AI agent development. It lets teams explore impact, stress test scenarios, and understand systems before they code.

Adam McCombs

JOIN US

Crash the model, not the business.

Simulate success. Prevent disasters. Lead Confidently.

Start Free Trial

or email us your resume at careers@pathfwd.io

FREQUENTLY ASKED QUESTIONS

Got questions about AI risk? We’ve got answers.

From drift detection to downstream impact.

What’s the difference between a Simulation and a Live Orchestration?

Simulations are sandboxed environments where you test flows before deploying. Live Orchestration actively governs real-time workflows.

How does PathFwd's AI monitoring work?

PathFwd continuously monitors the performance and behavior of your AI agents within the context of your entire system. Our platform tracks how agents interact with people, systems, and each other—identifying drift, misalignment, or unintended outcomes in real time. You get transparent logs, policy-driven alerts, and the ability to simulate and adjust agent behavior before it impacts operations.

How do System Dynamics and Digital Twins work together in PathFwd?

PathFwd brings them together—beautifully.
System Dynamics gives you the why behind your operations, modeling how decisions, delays, and dependencies shape outcomes over time. Digital Twins give you the what’s happening now—a real-time view of your organization’s flow.
By combining the two, PathFwd lets you simulate, monitor, and orchestrate your system from one unified platform. You can model future scenarios, watch live behavior, and adjust flows in real time—so strategy and execution are always in sync.

How quickly can I get started with PathFwd?

Instantly. You can sign up for free and start building your digital twin right away—no setup delays, no credit card required. When you're ready for real-time data sync, cross-functional orchestration, or advanced agent capabilities, you can easily upgrade to an enterprise plan.

How secure is PathFwd?

Very. We offer enterprise-grade access control, audit logging, and sandbox environments for agent activity.