Process ownership clarity
Produce a complete RACI from an existing process map rather than a half-finished workshop grid.
— Operations & Process
RACI generator from a process map
Extracts roles, activities and decisions from a process map to build a full RACI matrix with exactly one accountable per activity, flagging conflicts found.
- Operations & Process
- Traceable reasoning
- Runs anywhere
1 day → ~10 minutes
For one complete, review-ready pass
No coding required
- Input
- The process map or process description
- Output
- A full activity-by-role RACI matrix
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1 day per run
— USE CASES
What people use RACI generator from a process map for
Finding accountability conflicts
See exactly where two roles both believe they are accountable.
New process rollout
Publish a RACI alongside a new process so responsibilities are unambiguous on day one.
What it works from
- The process map or process description
- The role set in scope
- Your RACI conventions
What you get back
- A full activity-by-role RACI matrix
- Exactly one accountable per activity
- A list of the accountability conflicts found
— HOW IT BEHAVES
How RACI generator from a process map produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Composed as work product
Findings are written up as a document that reads like professional output rather than raw model text.
Criteria-based analysis
Material is assessed against explicit criteria you control, so the same standard is applied on every run.
Structured extraction
Facts, fields and entities are lifted out of unstructured material and held in a consistent shape.
Grounded in your own material
The run works from documents and data you supply, so conclusions are anchored to your evidence rather than to general model knowledge.
Why this is expensive by hand
RACI matrices built in workshops usually end up with three accountables per row. Process ownership clarity is the typical trigger — produce a complete RACI from an existing process map rather than a half-finished workshop grid. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 1 day of manual work.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is a full activity-by-role RACI matrix, with exactly one accountable per activity. The criteria, ordering and review points that make the answer trustworthy are encoded in the Skill itself — which is the difference between a structured method and a prompt someone pastes in. Net effect: 1 day down to ~10 minutes, no drift between runs, and every conclusion traceable back to the evidence behind 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
RACI generator from a process 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)
More Operations & Process Skills
Browse the full library →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
Control failure → incident RCA pattern engine
Joins control test results to incident logs by process to show where control failures are actually producing incidents, grouped by systemic weakness with residual risk quantified.
Operations & Process
Process diagnostic
Inventories every process step with its owner, system, effort and wait time, tests each against bottleneck, duplication, handoff and control-gap lenses, and returns a prioritised 30/60/90 improvement backlog.