Operations in the AI Era — A Playbook
Decide which roles should be AI, human, or eliminated
Operations stopped being about process maps and started being about which step a human still has to do. This playbook walks you through that decision for every role, workflow, and function in your business. Org design, metrics, task management, and continuous improvement for teams where some teammates are agents and some are humans.
How to read this playbook · The AI-Era Lens
Operations when agents run the loops
The foundation in this playbook (process mapping, bottleneck analysis, SOPs, vendor management, continuous improvement) is timeless. The AI era flipped where the bottleneck lives and what an SOP needs to specify. Hold these six shifts in your head as you work through every module — the same disciplines apply, but with agents as first-class executors instead of humans only.
Shift 1
SOPs got two columns
Old SOP: a step-by-step humans follow. New SOP: 'what the agent does' + 'what the human does' + 'exceptions a human escalates.' Read every process-design module assuming you're writing for two kinds of executor, not one.
Shift 2
Bottleneck analysis flipped
The old question was 'which step is slow?' The new question is 'which step requires a specific human?' Agents made the speed problems disappear; the human-required steps became the constraint. Read bottleneck modules as 'find the single-point-of-failure humans hiding in your SOPs.'
Shift 3
The exception list became the management tool
Daily standups about status are dead — the agent has the status. Daily standups about exceptions are the new shape. Read the management-cadence modules as 'design the exception triggers and the review,' not 'where does status get reported.'
Shift 4
Onboarding got faster — and harder
New hires don't ramp on routine work anymore (agents do it). They start on exceptions. Read the onboarding and training modules as 'design the pair-with-senior pattern for exception cases,' not 'sequence the rote tasks they learn first.'
Shift 5
Vendor management = pick the API, not the UI
Your team doesn't use most tools directly anymore — agents do. UI quality moved way down the scorecard; API completeness, webhook coverage, and auth granularity moved way up. Read the vendor-selection modules with an inverted scorecard.
Shift 6
Continuous improvement became continuous experimentation
Kaizen's slow cadence was a feature — change was expensive. Change is cheap now. Read the improvement modules as 'design a weekly experiment loop,' not 'an annual process review.'
How to read the foundation modules
Read every framework in this playbook through these six shifts. Process mapping still works. Bottleneck-attack still works. Vendor scorecards still work. What changed is who executes, where the bottlenecks land, and how fast the improvement loops run. When you do an exercise, write the SOPs in two columns and assume the human is on exceptions.
What's Inside
27 interactive modules — first 3 are free to preview.
Why this playbook?
Actionable exercises
Not theory — hands-on activities you complete for your business.
Scoring frameworks
Rate where you stand today and track improvement over time.
Battle-tested frameworks
Built and refined inside real operating businesses, not theory.
Walk away with a plan
By the last page, you have a concrete action plan ready to execute.
Who is this for?
Written by Tiago Santana
Growth operator. $100M+ in revenue generated across companies. Founder of Gardenpatch and The Cooling Co.
I've spent the last decade running operationsfor companies at $1M–$100M ARR. When AI agents joined the team, almost everything I knew got rewritten. This playbook is what I'd hand a new operationsleader on day one in the AI era — not what worked in 2019. Every module is something I'd actually use, today, in my own companies. Money-back if it doesn't help.
More about Tiago →Founding members get a free copy
The honest version: these playbooks launched in May 2026. No reviews here yet — because the first ten people are still reading them.
First 10 reviewers · honest feedback wanted
Free copy of any playbook in exchange for an honest review.
Read it. Use it on a real problem you're working through. Tell us what landed, what didn't, and whether it was worth it. Your review goes on this page (with your name + role, or anonymous — your call).
Who this is for: operators running a real team (any size, any industry) who would actually use a framework like this and tell the truth about it. Not for resellers, not for AI-generated reviews, not for five-star-as-default. Critical reviews are more useful than glowing ones.
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