Corporate Heir Exposed for Sabotage After Humiliating Wife's Critical Patent Pitch — But Victory Came at a Steep Cost to Her Father's Legacy
Dr. Thorne’s voice cut through the lingering buzz of the recess. “Dr. Reed, if you are ready, the floor is yours.”
I took a deep breath, the small flash drive a comforting weight in my pocket. I walked to the central podium, facing the board members who still wore expressions ranging from skepticism to open doubt. My presentation slides were already loaded, a stark contrast to the damning images Davies had just displayed.
“Members of the board,” I began, my voice steady despite the tremor in my hands. “I stand before you today not as a negligent researcher, but as the architect of a system designed to be robust, secure, and above all, accurate.”
My gaze swept across their faces, landing for a moment on Marcus Bell, who had just returned and sat among the other Vance employees. He refused to meet my eyes, staring fixedly at the table in front of him.
“Mr. Davies has presented a case built on manipulated data and falsified reports,” I continued, “alleging gross negligence on my part. I will now demonstrate not only the validity of my patent, but also the precise nature of the deception you have just witnessed.”
Eleanor scoffed softly from her seat, a theatrical roll of her eyes. Julian shifted uncomfortably, avoiding my glare. Their dismissiveness was another form of petty cruelty, trying to undermine me even before I began.
I clicked my remote, and my first slide appeared: a diagram of my AI’s core architecture, clean and complex. “My AI-driven financial model incorporates a sophisticated validation layer,” I explained, “designed to identify anomalies and potential external tampering.”
I then pulled up the audit report Davies had used, the one Marcus had “corroborated.” I zoomed in on one of the graphs, showing the supposed “erratic” behavior of my AI’s projections.
“Mr. Bell,” I addressed him directly, my voice clear and firm, “you testified that you cross-referenced these projections with standard market indicators.”
Marcus looked up, startled by being addressed personally. “Yes, Dr. Reed. I did.”
“And you used the standard S&P 500 index for comparison, correct?” I asked, my tone purely factual.
“That’s correct,” he replied, a hint of defensiveness entering his voice.
“Can you explain,” I pressed, “why your cross-reference data for Quarter 3, Fiscal Year 2022, shows a market fluctuation of less than 0.5%, when public records confirm a significant market correction of over 4% during that exact period?”
Marcus blinked. His eyes widened slightly. He opened his mouth, then closed it. He looked genuinely stumped. The precise, technical question had caught him off guard.
Davies immediately objected. “Objection, Dr. Thorne. Dr. Reed is attempting to badger the witness with irrelevant details.”
“It is highly relevant, Mr. Davies,” I countered, turning back to the board. “The accuracy of the baseline data Mr. Bell used fundamentally impacts the conclusions drawn from his analysis.”
Dr. Thorne leaned forward, his gaze fixed on Marcus. “Mr. Bell, can you explain the discrepancy?”
Marcus stammered, his face flushing. “I… I followed the data provided to me. The spreadsheet I was given for the S&P 500 comparison had those figures.”
His admission, though indirect, was a crack in their seemingly solid edifice. He wasn’t making excuses; he was simply admitting he used *given* data, not independently verified data. The board members exchanged glances, a subtle shift occurring in their expressions. They were starting to see the inconsistencies, the possibility of deliberate manipulation.
“So, you relied on pre-existing data sets provided to you, rather than sourcing independent, verifiable market data for your comparisons?” I reiterated, making sure the board understood the implication.
Marcus swallowed hard. “Yes, ma’am. That’s standard procedure for internal reviews.”
“Not when validating a groundbreaking AI model, Mr. Bell,” I stated, my voice cutting through his defense. “Independent validation requires independent data. Your reports, therefore, are based on a flawed premise.”
I could see the gears turning in the board members’ minds. They were still viewing this as a technical dispute, a question of methodology, not yet outright fraud. But the seeds of doubt had been sown. I had shown a crack in Marcus’s testimony, but it wasn’t enough. I needed to do more than just point out discrepancies; I needed to expose the intentional nature of the deception, and I knew exactly how I was going to do it. The flash drive in my pocket felt warm, a silent promise of deeper revelations. The true nature of the data’s deception was about to be laid bare.
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