Insights

Practical notes on AI operations and workflow repair

Evidence-led notes from real delivery work — not generic AI SEO filler. Each topic maps to a case study or service offer on this site.

What I publish from real work

These are the themes behind the case studies and sprint offers — written for founders who need operational clarity, not tool hype.

How to spot workflow leaks

A practical checklist for repeated admin, invisible handoffs, and CRM/reporting gaps — the entry criteria for a 10-day sprint.

When AI belongs in operations

Use AI where inputs, review points and output ownership are clear. Avoid uncontrolled tool sprawl — the same standard applied in the Specialist Orchestra case study.

When to audit before you build

Fragile Make, n8n or Zapier stacks need a risk map before another layer goes on top. That is what the automation audit is for.

Dashboards before SaaS

Build the internal operating dashboard first — Sheets as the working layer, Looker as the read layer — then productise only repeated buyer pain.

Ops foundations from zero

SOPs, CRM architecture, reporting and permissions when too much lives in one person's head — the pattern behind the 10-day AI/Ops Automation Sprint.

Handover-ready automation

130-module contract engines only work if someone else can maintain them. Spec-driven documentation and explicit fallbacks are non-negotiable.

Full articles will be added here as they are written from completed engagements. For now, see case studies for the underlying evidence.

Have a workflow worth fixing?

Send the specific handoff or tool stack. I will tell you whether it fits a sprint, audit, or foundation build.

Contact Simon