Mach Advisory™ / Field Notes
Field Notes
Clear, practical notes on AI architecture, engineering and go-to-market for leaders making the next decision.
Browse
More field notes
Claude Readiness Assessment: 6 Checks Before Your 2027 Rollout
Six evidence checks, one illustrative scorecard, and a controlled pilot plan help technology leaders assess Claude and Claude Code before widening access.
Read the field note →The Mach One™ Model: How One Team, One Workspace and One Outcome Change the Pace of AI-First Innovation
See how one team, one workspace, and one measured outcome reduce costly handoffs.
Read the field note →CloudTeams™: The AI-Powered Platform Built for Firms That Sell Expertise
Follow one record from deal to staffing, delivery, and invoice, with human approval around AI and an honest view of early access.
Read the field note →The Handoff Tax: What Coordination Really Costs Your AI Program (With a Calculator)
Use a simple calculator to expose briefing, waiting, and rework costs when an AI program passes between teams.
Read the field note →Technical Go-To-Market: The Launch Readiness Checklist for AI and Infrastructure Products
A practical launch framework connects the right market, clear positioning, verifiable proof, buyer enablement, and a measurable go-to-market motion.
Read the field note →From AI Pilot to Production: The 30-Day Engineering Playbook
A four-week path from promising demo to owned production, with evaluation gates, governed integrations, operating responsibilities, and a clear release decision.
Read the field note →The AI Readiness Assessment: 7 Questions to Answer Before You Fund Another AI Project
Seven evidence questions reveal readiness gaps and blockers so leaders can choose a credible AI pilot before committing budget.
Read the field note →