Blog

Notes from the
front line of AI delivery

What we learn shipping production AI agents inside real enterprises, the numbers, the failure modes, and the delivery model that gets you past the pilot.

Pilot to Production

Why 95% of Enterprise AI Pilots Fail (And the 5% That Don't)

MIT found 95% of enterprise AI pilots deliver zero measurable ROI. Here's what separates the 5% that reach production, with 2025-2026 data and a decision-maker's playbook.

ROI & Business Case

The ROI of Enterprise AI Agents: 2026 Benchmarks

2026 ROI benchmarks for enterprise AI agents: self-reported ~171% returns, Klarna's ~$40M, 80%+ resolution rates, and why 95% of pilots still fail. Answer-first, sourced.

Forward-Deployed Model

What Is a Forward-Deployed Engineer (and Why Enterprise AI Needs One)

A forward-deployed engineer embeds in your team, absorbs operational pain, and ships production AI agents on real data under real governance. Here's why enterprise AI needs one, backed by 2025-2026 data.

Governance & Control

Keeping Humans in the Loop: Human Oversight for Enterprise AI Agents

Human oversight is what separates enterprise AI agents that reach production from the 40% Gartner expects to be canceled. A decision-maker's guide to designing it.

Governance & Control

Audit Trails for AI Agents: What Regulated Enterprises Actually Need

A decision-maker's guide to audit trails for AI agents in regulated enterprises: what to log, why it's a production gate, and how to satisfy the EU AI Act and NIST AI RMF.

Governance & Control

AI-Native Operating Model: Rearchitecting vs. Layering AI on Top

Layering AI onto legacy workflows stalls in pilots. Learn when to rearchitect the operating model for AI-native outcomes, and how enterprise leaders decide.

Governance & Control

Legacy System Modernization With AI Agents: The Mainframe and COBOL Angle

How AI agents change the economics of mainframe and COBOL modernization in 2026, why most pilots still stall, and what enterprise leaders should govern before committing.

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