AI Readiness Scorecard | The Double Helix

∞

AI Readiness Scorecard

Designing for Possibility

A 20-point compliance audit for creative teams

By The Double Helix | Where Protection Meets Possibility

The Stakes

EU AI Act enforcement is ramping up. California's AI transparency laws are live. The FTC is cracking down on deceptive AI practices. SAG-AFTRA's new AI agreements set precedents.

How ready are you?

Instructions:

Answer each question YES or NO based on your current state
Complete all 20 questions
Enter your contact information to receive your score
Takes 5 minutes to complete

PROCESS & DOCUMENTATION

Question 1

Do you have a written definition of what counts as "material AI use" in your workflow?

YES – We have a clear, documented definition NO – We decide case-by-case or don't have one

Question 2

Is there a documented approval process for AI tools before teams start using them?

YES – Clear process with assigned approvers NO – Teams choose tools independently

Question 3

Do you track and log which AI tools, models, or datasets are used in each project?

YES – We have a system for capturing this NO – Not systematically tracked

Question 4

Is there a standardized escalation path when someone encounters an AI compliance question?

YES – Everyone knows who to ask and when NO – People figure it out on their own

PEOPLE & ROLES

Question 5

Have you assigned specific ownership for AI compliance decisions?

YES – Clear roles (Legal, BA, Producer, etc.) NO – Responsibility is unclear or distributed

Question 6

Has your team received training on AI ethics, IP risks, and disclosure requirements?

YES – Formal training within the last 6 months NO – No formal training yet

Question 7

Do your producers/creative leads know when to escalate AI use to Legal or Business Affairs?

YES – Clear triggers for escalation NO – They're guessing or over/under-escalating

Question 8

Is there a person or team accountable for reviewing AI outputs before client delivery?

YES – Designated reviewer for every project NO – Review happens inconsistently

TOOLS & TECHNOLOGY

Question 9

Have you vetted the terms of service for all AI tools your team currently uses?

YES – Legal has reviewed and approved NO – Teams are using tools without formal review

Question 10

Have you confirmed whether your AI tools can assert copyright on outputs AND whether they train on your inputs?

YES – We've verified both copyright status and data usage policies NO – We're not sure or haven't checked both aspects

Question 11

Do you restrict which AI tools can access sensitive client data, brand assets, or confidential information?

YES – Clear data access policies in place NO – No restrictions or unclear boundaries

Question 12

Can you quickly identify which projects used AI if a legal question arises 6 months later?

YES – We have audit trails and documentation NO – We'd have to reconstruct from memory

LEGAL & CONTRACTS

Question 13

Do your vendor contracts include AI indemnification clauses and training data restrictions?

YES – Standard AI protection clauses in all relevant contracts NO – We're using legacy contracts without AI provisions

Question 14

Do your ACTOR/VOICE talent agreements include AI-specific rights, likeness, and synthetic media protections?

YES – Updated agreements with comprehensive AI clauses NO – We're using pre-AI contract templates

Question 15

Do your MUSIC/COMPOSER agreements address AI training, style replication, and derivative work rights?

YES – Music-specific AI protections in place NO – Standard music agreements without AI considerations

Question 16

Have you reviewed your client contracts to ensure you can legally use AI in deliverables?

YES – Clients are aware and contracts are current NO – Not explicitly addressed in contracts

ETHICS & DISCLOSURE

Question 17

Do you have a policy on when and how to disclose AI use to clients, audiences, or stakeholders?

YES – Clear disclosure standards documented NO – We decide case-by-case or haven't addressed this

Question 18

Have you established boundaries around using AI to replicate voices, likenesses, or styles of real people?

YES – Clear guardrails and approval requirements NO – No formal policy on this yet

Question 19

Do you have a process for identifying and avoiding biased or harmful AI outputs?

YES – Review process includes bias/harm checks NO – Not systematically addressed

Question 20

Do you require human review for every AI-generated output before it goes to clients or public audiences?

YES – Mandatory human-in-the-loop for all AI work NO – Some AI outputs go out without human review

Please answer all 20 questions to continue

Almost There!

Enter your information to receive your personalized AI Readiness Score and recommendations

Work Email*

Role*

Company*

Your Score

0/20

Confidence: 0%

HIGH RISK

Industry Benchmarks

Agencies average 9/20

In-house teams average 11/20

Production companies average 7/20

Leading teams (top 10%) 16/20

HIGH RISK

Critical Gaps in AI Readiness

One viral AI scandal. One talent lawsuit. One client discovering undisclosed AI use. Any of these could happen tomorrow.

Your team has critical gaps in AI readiness. Without clear guardrails, you're exposed to IP conflicts, liability issues, talent disputes, and reputational damage.

Immediate Actions:

Stop and stabilize: Pause new AI experiments until you have baseline guardrails
Designate an AI owner: Assign someone (Legal, BA, or Senior Producer) to own this NOW
Document current use: Audit what tools are already in use and for what purposes
Create a 30-day plan: Focus on your lowest-scoring category first

Your Next Step

You need a clear, implementable framework—fast. The AI Policy Starter Kit gives you a complete 45-minute workshop system.

Get the AI Policy Starter Kit →

MEDIUM RISK

Foundation in Place, Systems Needed

You're one ambitious producer away from a compliance crisis.

You have some foundations in place, but you're relying on individual judgment rather than systems. That doesn't scale.

Immediate Actions:

Formalize what's working: Turn informal best practices into documented standards
Close your biggest gap: Look at your lowest-scoring category—tackle that first
Create accountability: Assign clear owners for approval, review, and escalation
Standardize documentation: Build templates for AI use tracking

Your Next Step

You don't need to start from scratch—you need to systematize what you have.

Get the AI Policy Starter Kit →

LOW RISK

Leading the Pack

Strong work. You're ahead of 90% of creative teams on AI readiness. You have clarity on roles, documented processes, and your team knows when to escalate.

Your Edge-Maintaining Priorities:

Expand your clause library: New use cases need new contract language
Document your wins: Turn your system into competitive advantage
Train other teams: Your knowledge has enterprise value
Stay current: Emerging risks require proactive updates

Maintain Your Edge

Stay ahead with The Double Helix paid community.

Join the Paid Community →

The Double Helix

Where Protection Meets Possibility

AI Compliance Readiness Scorecard

By The Double Helix

How it works: Answer 20 yes/no questions. We’ll tally your YES total, show your risk band, and send your results to you.

Category 1: PROCESS & DOCUMENTATION

1) Do you have a written definition of what counts as “material AI use” in your workflow?

Yes No

2) Is there a documented approval process for AI tools before teams start using them?

Yes No

3) Do you track and log which AI tools, models, or datasets are used in each project?

Yes No

4) Is there a standardized escalation path when someone encounters an AI compliance question?

Yes No

Category 2: PEOPLE & ROLES

5) Have you assigned specific ownership for AI compliance decisions?

Yes No

6) Has your team received training on AI ethics, IP risks, and disclosure requirements?

Yes No

7) Do your producers/creative leads know when to escalate AI use to Legal or Business Affairs?

Yes No

8) Is there a person or team accountable for reviewing AI outputs before client delivery?

Yes No

Category 3: TOOLS & TECHNOLOGY

9) Have you vetted the terms of service for all AI tools your team currently uses?

Yes No

10) Do you know whether your AI tools train on your inputs or outputs?

Yes No

11) Do you restrict which AI tools can access sensitive client data, brand assets, or confidential information?

Yes No

12) Can you quickly identify which projects used AI if a legal question arises 6 months later?

Yes No

Category 4: LEGAL & CONTRACTS

13) Do your vendor contracts include clauses addressing AI use, IP ownership, and training data restrictions?

Yes No

14) Do your talent agreements include AI-specific rights, disclosure, and likeness protections?

Yes No

15) Have you reviewed your client contracts to ensure you can legally use AI in deliverables?

Yes No

Category 5: ETHICS & DISCLOSURE

16) Do you have a policy on when and how to disclose AI use to clients, audiences, or stakeholders?

Yes No

17) Have you established boundaries around using AI to replicate voices, likenesses, or styles of real people?

Yes No

18) Do you have a process for identifying and avoiding biased or harmful AI outputs?

Yes No

19) Can your team articulate your company's ethical stance on AI use (beyond just legal compliance)?

Yes No

20) Do you require human review for every AI-generated output before it goes to clients or public audiences?

Yes No

Total “YES”: 0 / 20

Risk band:

After you click “Submit & email me my results”, enter your email in the form below and press Submit.

Name

First Name

Last Name

Email *

Score

Risk Band

Answers

Thank you!

AI Readiness Scorecard

🧬