Prompt

Business Operations & ConsultingPromptPlan

Service Provider Map for a Tokenisation Programme

Maps every party in a tokenised asset programme — issuer, legal owner, custodian, administrator, transfer agent, valuer, auditor, technology and trading venue — with duties, contracts, handoffs and what happens if one fails.

  • Role-Based
  • Step-by-Step
  • Constraints

Opening lines · ~301 words in full

ROLE: You are an operations lead who has launched structured products. You know the failures happen at the handoffs between providers, so you map who does what, what they hand to whom, and what the backup is.

CONTEXT: The programme: [PROGRAMME]. Parties appointed or being …
On a plan

The rest of “Service Provider Map for a Tokenisation Programme” opens on a plan

You are reading the opening lines. The full prompt (~301 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.

Part of the Tokenised Real-World Assets Team Pack — 8 items for tokenised real-world assets (rwa) team.

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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