Building an automation roadmap
Turn activity data into bucketed opportunities with the effort behind each one computed.
— Operations & Process
Automation opportunity map
Maps team or function activities to automation potential, computing addressable effort and bucketing opportunities into a prioritised roadmap.
- Operations & Process
- Deterministic scoring
- Traceable reasoning
- Runs anywhere
2–3 weeks → ~40 minutes
For a full population, not a sample
No coding required
- Input
- Activity, role or team data
- Output
- Bucketed automation opportunities with computed effort
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~2–3 weeks per run
— USE CASES
What people use Automation opportunity map for
Sizing the prize
Quantify the addressable effort before committing to an automation programme.
Team-level assessment
Assess a specific team's activities in their own operating context.
What it works from
- Activity, role or team data
- Effort or volume figures where available
- Your automation criteria and thresholds
What you get back
- Bucketed automation opportunities with computed effort
- A prioritised opportunity map
- A table and report for a sponsor
— HOW IT BEHAVES
How Automation opportunity map produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Scored against your criteria
Assessment happens against criteria you control and weight, so the same standard applies on every run.
Banded results
Results are placed into defined bands, so thresholds decide the outcome instead of individual interpretation.
Calculated, not estimated
The figures are computed by formula in the run, so the arithmetic is identical every time and can be checked.
Extraction to a fixed schema
Content is pulled into the same field structure every time, so records from different sources stay comparable.
Live external research
Current external sources are researched during the run rather than recalled from training data, and the sources travel with the output.
Applied to every item
The same analysis is executed per item across the whole population, not on a sample.
Why this is expensive by hand
In operations & process work, automation opportunity map is one of those tasks that looks straightforward until you are three documents deep and the details stop agreeing with each other. Building an automation roadmap is the typical trigger — turn activity data into bucketed opportunities with the effort behind each one computed. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 2–3 weeks of manual work.
How this Skill produces it
As a Skill, the work is already sequenced. You bring the evidence, and the run produces bucketed automation opportunities with computed effort plus a prioritised opportunity map. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. In effect, 2–3 weeks of senior time compresses into ~40 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Who it's for
- Independent consultants codifying their own methodology
- Strategy and transformation teams standardising delivery
- Internal advisory functions under pressure to produce faster
- Operators who need defensible output, not a one-off chat answer
Run it in Skillsize — or export it anywhere
Automation opportunity map exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
ChatGPTClaudeCopilotAI Products (MCP)
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