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From Score to Scale

AI Scaling Advisor (CFO Edition)

3 evidence-backed outputs from your maturity score

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AI Governance & Risk Control Stack — Where This Fits

 

Features List

3

Outputs from 1 Upload

5

MIT CISR Knowledge Sources

12-Week

Action Plan Included

Why Finance Leaders Use This CustomGPT

One Upload, Three Outputs

Upload your completed AI Maturity Compass workbook and the Advisor generates three ready-to-use outputs: a comprehensive report with prioritized actions, a board-style 1-pager with your top 3 initiatives and milestones, and a 12-week action plan tied directly to your lowest-scoring capability areas. No reformatting. No consultant required.

Evidence from MIT CISR Research

Every recommendation the Advisor produces is tagged to an evidence source — five MIT CISR research documents covering enterprise AI scaling, the CEMEX AI at scale case study, BBVA's scaling playbook, and the Enterprise AI Maturity Model itself. You get prioritized actions, not generic advice. Anything inferred beyond the data is clearly labelled.

Tied to Your Specific Scores

The Advisor doesn't produce generic AI recommendations. It reads your 7 capability area scores, identifies your lowest-scoring survey questions, maps each gap to a CISR dimension, and builds a scaling roadmap from your actual numbers. Every action in the 12-week plan links back to a specific question number and category from your assessment.

Board-Ready in One Conversation

The board-style 1-pager output gives you a compact, structured summary: your maturity stage, top 3 recommended actions, key risks and gaps, and milestones — formatted as a clean table you can paste directly into a board presentation. No editing required. Your CFO narrative is built from your own data.

Works Without the Excel Too

If your completed assessment file isn't available, the Advisor launches a questionnaire fallback covering your organization's size, data readiness, and governance maturity. You still get prioritized scaling recommendations — the GPT adapts its analysis to whatever input you provide and flags where additional data would sharpen the output.

What You Get

  • CustomGPT Design Blueprint (PDF)

    The complete build spec for the AI Scaling Advisor: GPT name, description, full system instructions, output format definitions, style and governance rules, knowledge file list, recommended model (GPT-5 Thinking), and enabled capabilities (Code Interpreter and Data Analysis). Everything you need to build the GPT in ChatGPT.

  • Output A: Comprehensive Report

    A structured analysis report that reads your maturity stage and capability scores, identifies low-scoring questions and weak areas, maps each gap to the relevant CISR dimension, derives scaling gaps across governance, data, infrastructure, skills, use cases, process, and business model, and delivers prioritized actions — each tagged with evidence source, question number, category, and score. Inferences clearly labelled.

  • Output B: Board-Style 1-Pager

    A compact, copy-paste ready Markdown table formatted for board or executive committee presentation. Includes your current maturity stage, top 3 recommended actions, key risks and gaps identified from your assessment, and near-term milestones. Designed to drop directly into a board deck slide or executive summary without reformatting.

  • Output C: 12-Week Action Plan

    A structured action plan table with columns for Weeks, Initiative (linked to specific question numbers from your assessment), Owner, Checkpoints, Expected Outcome in $ or hours, Evidence (Q# and capability area), and Compliance/Risk considerations. Every initiative ties back to your lowest-scoring survey items — the plan addresses your actual gaps, not generic AI priorities.

  • 5 MIT CISR Knowledge Sources

    The research documents uploaded to the GPT's knowledge base: Five Actions to Scale AI (Woerner and Weill, 2022), CEMEX Scaling AI (Wixom, Someh, Beath, 2024), Enterprise AI Maturity Model (Weill, Woerner, Sebastian, 2024), BBVA Scaling AI Across the Organization, and MIT CISR CEMEX AI at Scale working paper. These are the evidence sources the Advisor cites in every recommendation.

  • Questionnaire Fallback Mode

    If you don't have the completed AI Maturity Compass Excel to upload, the Advisor launches a structured questionnaire covering organization size, data readiness, and governance maturity. You still receive prioritized scaling recommendations. The GPT flags where additional assessment data would sharpen the analysis.

  • Video 1: How to Use the CustomGPT Blueprint

    A walkthrough video covering the full setup process: building the GPT in ChatGPT using the design blueprint, uploading the 5 MIT CISR knowledge files, configuring capabilities, and running your first assessment upload to generate all 3 outputs.

  • Video 2: AI Governance & Risk Control Stack

    The stack overview video showing where the AI Scaling Advisor sits in the full AI Governance and Risk Control Stack — downstream of the AI Maturity Compass, receiving the completed assessment as input and delivering the scaling roadmap as output.

When to Use This CustomGPT

You've scored your AI maturity and need a roadmap

You've completed the AI Maturity Compass (AICFO-011) and know your Stage 2 classification and your 7 capability scores. Now you need to know what to actually do — in what order, with what evidence, and tied to which specific gaps. Upload your Excel. The Advisor generates three ready-to-use outputs in one conversation.

Preparing an AI investment proposal for the board

Your board wants to know what you're doing with AI and why. The board-style 1-pager output gives you a structured, evidence-backed summary — maturity stage, top 3 priorities, risks, milestones — you can drop into a board deck. Every recommendation cites MIT CISR research, not opinions. That's a different conversation than most boards get.

Building a 12-week AI sprint plan for your team

You have a team ready to execute but need a structured plan tied to specific gaps rather than general AI priorities. The 12-week action plan output maps every initiative to a question number and capability area from your assessment, assigns checkpoints, and flags compliance and risk considerations. Your team knows exactly what to work on and why.

Presenting AI scaling gaps to a new CTO or CIO

A new technology leader has joined and wants a briefing on your AI program's current state and priorities. The comprehensive report gives you a structured, evidence-tagged analysis — capability gaps mapped to CISR dimensions, prioritized actions with evidence sources, and inferences clearly labelled. It's a thorough onboarding document for any senior AI stakeholder.

Running quarterly AI progress reviews

Every quarter you re-run the AI Maturity Compass and upload the updated Excel to the Scaling Advisor. The new report shows what moved, what stayed flat, and what the next 12 weeks should target. Evidence-tagged recommendations update to reflect your current score profile. Your AI program has a consistent review cadence and a documented record of decisions.

What the Advisor Analyses and Delivers

Input from Your Assessment What the Advisor Does With It Output You Receive
Maturity stage (Stage 1–4) Confirms stage from your Excel; does not recalculate. Uses stage to set the right scaling context and expectations. Stage confirmed in report header and board 1-pager
7 capability area scores Identifies your weakest areas. Maps each low score to the corresponding MIT CISR dimension and derives specific scaling gaps. Prioritized action list per capability area in comprehensive report
Individual question ratings (1–5) Pinpoints the specific low-scoring questions driving capability gaps. Links each question number directly to recommended initiatives. 12-week plan with every initiative tied to a Q# from your assessment
Governance, data, and skills gaps Applies MIT CISR research and case study learnings to derive evidence-backed actions. Labels any deductions beyond data as [Inference]. Evidence-tagged recommendations with source citations in every output
No file (fallback mode) Launches a structured questionnaire covering organization size, data readiness, and governance maturity. Generates recommendations from answers. Prioritized scaling recommendations with flagged data gaps

Common Questions

Your Maturity Score Means Nothing Without a Plan. Here's the Plan.

Evidence-backed AI scaling roadmap from your assessment data. 3 outputs. Updated for 2026.

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