Capacity Destination Mapping Worksheet
A structured team worksheet covering current activities, friction, suppressed-value work, capacity destinations, role evolution, adoption risks, and first 30-day experiments.
Free team AI worksheet
Do not automate work until you know where the freed capacity should go.
Capacity Destination Mapping helps team leads identify the valuable work that is not happening because everyone is too stretched, then connect AI and automation to a clear business and human reason.
The strongest AI implementations do not just remove work. They reveal the work your organisation has been too stretched to do.
Most team AI rollouts start with tools, training, or a list of generic use cases. That is backwards. If staff cannot see what better work becomes possible, efficiency can feel like a trap.
This worksheet starts with the work: what happens now, what is slow or duplicated, what is not happening at all, and where freed capacity should go first.
Map current activity.
Name the recurring work, owners, handoffs, pain points, and hidden coordination load.
Name the recurring work, owners, handoffs, pain points, and hidden coordination load.
Find suppressed value.
List the follow-up, QA, documentation, coaching, analysis, and improvement work that is always sacrificed.
List the follow-up, QA, documentation, coaching, analysis, and improvement work that is always sacrificed.
Choose a capacity destination.
Decide what AI-freed time should become before automating the work.
Decide what AI-freed time should become before automating the work.
Lead magnet
Two assets you can use in a team session.
No email gate. Use them as-is, or bring them to us and we will help run the mapping properly.
Team-lead facilitator prompt
A reusable prompt for a custom GPT or internal assistant that asks one section at a time, identifies suppressed work, and only recommends automation where the capacity destination is clear.
Why it matters
Staff resistance is often rational.
If the only visible outcome of AI is "do more with less", people will be cautious. Some will avoid the tools. Some will use them privately. Some will quietly protect the work that makes their role feel safe.
A better bargain is clearer: use AI to reduce low-value manual work, then move the capacity into work that needs human judgement, customer context, coaching, QA, service recovery, process improvement, and accountability.
Diagnostic question
If AI saved this team 20 percent of its time next quarter, what would improve?
Use it before these projects
Good places to start.
Customer follow-up
Where saved admin time can become more proactive outreach, fewer lost leads, and cleaner handovers.
Support and inbox triage
Where AI can reduce sorting and drafting load, while humans handle exceptions and judgement calls.
Reporting and QA
Where time saved on preparation can become better review, explanation, and learning.
Onboarding and training
Where repeated explanations can become better materials and more useful coaching.
Documentation debt
Where teams finally capture the process knowledge currently held in inboxes and heads.
Role redesign
Where staff need a credible answer to: what happens to my role if this work gets faster?
Want us to run this with your team?
Send the team, function, and one workflow where people are overloaded. We will help map the suppressed work and the first safe AI moves.
Ask about a workshop