10 = Podcast Individual #3
Episode 3
AI Made Me Create A Deepfake Of My CEO (For A Good Reason)
The client approved it. The deadline was fixed. The tools were available. The logic felt airtight. Then a senior stakeholder saw the output — and the questions it triggered were ones nobody in the room had thought to ask before the project started.
Play On
0:00
1:32 min
1X
Chapters
0:00
Cold open — the moment the senior stakeholder sees the video
3:20
The brief, the deadline, and the logic that felt airtight
7:10
Building the deepfake — what the tools made possible
11:45
The fallout — and the questions nobody had prepared for
16:00
The line Vani didn't know was there until she crossed it
19:30
What she asks before touching AI video in client work now
Key Takeaways
- Client approval covers the project. It does not cover every consequence the project produces.
- A convincing output is not the same as a considered one. Convincing is a technical standard. Considered is a professional one.
- The contracts most creators sign were written before AI video existed. That gap is your liability.
Show Notes
The brief was real. The deadline was fixed. The executive wasn’t available, and the client needed a training video. Vani had the tools, the skills, and a logic chain that held up under pressure. She used AI video to recreate the executive’s likeness for internal corporate use — with client knowledge, within the scope of the project, for a good reason.
Key Insight: “The client approved it” and “it was the right call” are two different statements. This episode is about the gap between them — and what lives in that gap professionally and legally.
When a senior stakeholder saw the finished output, the questions it triggered had nothing to do with quality. The video was convincing. That was precisely the problem. This episode walks through what Vani navigated in real time — the fallout, the conversations, the contract clauses she wished she had read more carefully — and what she now asks before any AI video tool enters a client engagement.
Topics Covered
The exact moment Vani realized she had crossed a line she hadn't clearly defined for herself
What questions every filmmaker should ask before using AI video generation in client work
Why a convincing output can create more problems than a rough one
The contract and consent gaps most creative professionals are currently ignoring
Vani Aggarwal
Filmmaker, AI Strategist, Host of AI Made Me Do It
With 16+ years across six countries, Vani has directed for National Geographic India, Discovery Channel India, Fox Life, and India Today. She consults on AI strategy and governance for creative organizations — and reports back from inside the decisions most people would rather not examine.
Website X Linkdin
Meet Your Host
Vani Aggrawal
16+
Years In Media
350k+
Course Learners
6
Countries Worked In
"The approval was in the brief. The conversation it started wasn't."
- Vani Aggarwal
Resources Mentioned
Tools
Vani 0:5 Jump to time
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PODCAST
Been handed an AI
video brief and not
sure where the line
is?
Most creatives working in client AI video right now are operating without a clear framework for consent, liability, or professional responsibility. This episode is a good place to start building one.
Ask Your Questions
Frequently Asked Questions
How do I listen to AI Made Me Do It?
New episodes publish every Tuesday on YouTube and Spotify. Subscribe on either platform to get them automatically.
Is this episode relevant if I work in corporate video or L&D, not film?
Especially relevant. The scenario in Episode 3 is a corporate training video context — the exact environment where AI-generated executive likenesses are most likely to be requested and least likely to have governance frameworks in place.
Does this episode take a position on whether deepfakes are ethical?
It takes a position on process, not technology. The episode is not about whether the tool should exist. It is about what responsible use looks like when you are the one holding it.
What does Vani mean when she says the approval was in the brief?
Client sign-off on a project scope does not automatically cover the legal, ethical, or professional implications of every method used to deliver it. The episode unpacks exactly where that gap exists and how to close it before the project starts.
What is the AI video client checklist mentioned in this episode?
A set of questions Vani now works through before any AI video generation enters a client project — covering consent, contract language, stakeholder visibility, and output review protocol. Referenced in the episode and available as a resource.
GET IN TOUCh
Is Your Team Using AI Video Without A Clear Framework?
Most organizations are. The tools moved faster than the governance. If you need to build the framework before the next brief lands on your desk, I work with creative and L&D teams on exactly this.