About

About Michael Stables

I’m Michael Stables, an Agile leader and AI workflow consultant. I help teams turn fragmented recurring work into clearer systems, lighter admin, and practical automation prototypes.

The short version

I work at the intersection of people, process, technology, and practical AI. My consulting work is focused on reducing manual drag: scattered notes, repeated status updates, fragmented project knowledge, unclear handoffs, and workflow steps that should not depend on one person’s memory every week.

My background includes Agile leadership, software delivery, coaching, facilitation, and systems thinking. That combination helps me look at AI and automation as operating improvements, not just tool experiments.

The question I usually start with is simple: what recurring work is costing the team time, attention, or clarity?

What I help with

AI Workflow Audits

Map a recurring workflow, identify where time is being lost, and separate useful AI opportunities from ideas that add more maintenance than value.

Automation Prototype Sprints

Build a small working prototype around one high-value workflow so the team can evaluate the real process before committing to a larger build.

Agile AI Enablement

Use AI to improve planning, retrospectives, backlog refinement, stakeholder updates, meeting notes, and recurring delivery communication.

Workflow Documentation

Turn scattered process knowledge into reusable prompts, templates, operating guides, and lightweight knowledge systems people can actually maintain.

My background

Agile leadership taught me how teams actually work, where communication breaks down, and why process improvements fail when they ignore real people.

Technical work gave me the curiosity to understand how tools connect.

Coaching and facilitation taught me how to explain complex ideas in a way people can actually use.

That mix is what I bring into AI workflows, automation, and practical systems.

Where I fit best

I’m a good fit when a team needs someone who understands Agile delivery, can map the human workflow, and can prototype practical AI or automation support without overbuilding.

Principles

How I Work

Start with the workflow

I look at the recurring process before recommending tools.

Keep the system reviewable

AI outputs need ownership, context, and human review.

Prototype before overbuilding

Small working systems reveal more than long strategy documents.

Design for adoption

A workflow only matters if people can understand, repeat, and maintain it.

Use AI where it reduces drag

The goal is less manual friction, not more tool noise.

Document the pattern

Reusable prompts, templates, and operating rules make improvements stick.

Next Step

Start with one workflow that is costing too much time

The best starting point is a specific recurring process: research, reporting, meeting notes, project updates, backlog cleanup, documentation, or content planning. From there, we can decide whether the right next move is an audit, a prototype, or a clearer operating system.

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