Reducing operational friction
Identifies where activities can be removed, combined or reassigned to reduce unnecessary work and hand-offs. Provides a redesigned process with clear roles, system requirements and controls.
— Operations & Process
Future-state process design
Dispositions every current process step as keep, merge, move, automate or eliminate, then writes the redesigned process with roles, systems and controls and quantifies the before-and-after case for change.
- Operations & Process
- Human review built in
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~15 minutes
For one complete, review-ready pass
No coding required
- Input
- Current-state process maps
- Output
- Future-state process design with roles, systems and controls
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use Future-state process design for
Clarifying decisions and ownership
Places decisions with the roles closest to the relevant information and assigns a single accountable owner. Makes responsibilities explicit within the future-state design.
Building the change case
Compares the current and proposed processes, quantifying changes where the evidence supports it. Provides an impact assessment and transition plan to support approval decisions.
Defining automation scope
Distinguishes activities that merit automation from those better simplified or removed. Grounds automation proposals in the intended process rather than reproducing existing inefficiencies.
What it works from
- Current-state process maps
- Process diagnostics and performance evidence
- Existing roles, systems and control requirements
- Operational constraints and change objectives
What you get back
- Future-state process design with roles, systems and controls
- Activity-level redesign decisions and rationale
- Single-owner accountability and decision responsibilities
- Quantified comparison of current and proposed processes, where evidence permits
— HOW IT BEHAVES
How Future-state process design produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Human sign-off before the write-up
The run pauses for a person to confirm the process steps that matter before the deliverable is composed.
Composed as work product
Findings on the end-to-end process are written up as a document that reads like professional output, with each claim tied back to a process step.
Criteria-based analysis of every process step
Each process step is assessed against explicit criteria you control, so the same standard is applied across the end-to-end process on every run.
Grounded in your own process documentation and run data
The run works from process documentation and run data you supply, so conclusions about the end-to-end process are anchored to your evidence rather than general model knowledge.
Why this is expensive by hand
Process redesign often leaves teams with an attractive diagram but little clarity on ownership, controls or the practical implications of change. In practice it shows up as reducing operational friction: identifies where activities can be removed, combined or reassigned to reduce unnecessary work and hand-offs. Provides a redesigned process with clear roles, system requirements and controls. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 1–2 weeks of senior time whenever it comes round.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is future-state process design with roles, systems and controls, with activity-level redesign decisions and rationale. 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. Net effect: 1–2 weeks down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind 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
Future-state process design 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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