Diagnostics without a workshop marathon
Get a first structured read on the end-to-end process from documentation you already hold.
— Operations & Process
Refund & Compensation Engine
A clause-grounded refund decision: request in, an Approve / Partial / Goodwill gesture / Decline verdict out — every element of the remedy traced to the contract term or refund policy clause that allows it, with authority-limit gates routing anything above the agent's limit to review.
- Operations & Process
- Traceable reasoning
- Runs anywhere
1–2 hours → ~5 minutes
For one document, brief or record at a time
No coding required
- Input
- Process documentation, SOPs or system exports
- Output
- A process step-level view of the end-to-end process with issues named and sized
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 hours per run
— USE CASES
What people use Refund & Compensation Engine for
Where the time and cost actually sits
Quantify each process step rather than describing the process in general terms.
A baseline you can re-run
Re-run after changes land and show movement against the original baseline.
What it works from
- Process documentation, SOPs or system exports
- Volume, time or cost data where you have it
What you get back
- A process step-level view of the end-to-end process with issues named and sized
- A prioritised set of interventions with the basis shown
Why this is expensive by hand
Understanding the end-to-end process usually means interviews, a whiteboard and a map that is out of date before it is finished. In practice it shows up as diagnostics without a workshop marathon: get a first structured read on the end-to-end process from documentation you already hold. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 1–2 hours of capacity for it.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is a process step-level view of the end-to-end process with issues named and sized, with a prioritised set of interventions with the basis shown. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. In effect, 1–2 hours of senior time compresses into ~5 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Who it's for
- Operations and continuous improvement leads
- Transformation and automation teams
- Service delivery and shared services managers
- Consultants running process diagnostics
Run it in Skillsize — or export it anywhere
Refund & Compensation Engine 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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Process mapping
Turns interview notes, SOPs or transcripts into a structured current-state map with roles, activities, decisions, systems and handoffs, plus the validation questions for the process owner.