Three clearly separated views of the work: illustrative case studies you can read now, the shape of a consulting engagement, and the learning outcomes training aims for. Nothing is a live client engagement and no confidential information is included.
Two short, fictional studies. Each shows the before, the after and the steps taken to get there — specific enough to be useful, clearly labelled as illustrative.
An interactive fictional request flow showing ownership, approval and intentional failure handling.
Messages arrive. Someone remembers to follow up.
Capture → validate → human review → assign.
Deliverable: Workflow map, sample SOP and test checklist
Read the studyA fictional team example of documenting repeatable work without turning it into a complicated manual.
The process exists in one person’s head.
One shared procedure. Clear owners. Visible exceptions.
Deliverable: SOP outline and responsibility map
Read the studyReal client engagements are not published without written approval. This is the honest shape of the work instead — the deliverables a consulting engagement hands back.
One process mapped end to end, with the proposed future state and the human checkpoints that stay in place.
A usable procedure naming the owner of each step, the exceptions and the escalation route when something fails.
A handover document and a short test plan for the happy path and the likely failures, so the team can run it without us.
Training is judged by what a person can do afterwards. These are the intended outcomes — real learner stories are published only with permission and evidence.
See a process clearly — trigger, steps, owner and the point where work stalls — before changing anything.
Decide which approvals and judgments stay with a person, and design the exception route around them.
Write an SOP a teammate can actually follow, with ownership and a definition of done.
Build a small workflow and test duplicate, missing and failed inputs before trusting it.
Client engagements are not published without written approval. These studies use invented teams and invented data so the shape of the work can be shown without revealing anyone’s business.
Bring one recurring task. We understand it first, organise the responsibilities, then automate only what is suitable.
