On-demand: why slowing AI down is not the same as controlling it
Binny Gill, CEO of Kognitos, on why more intelligence should not mean more authority, and how deterministic execution lets finance teams accelerate automation while keeping control of what AI is allowed to do.
About this webinar
A 45-minute session for finance leaders, recorded live on September 23, 2026. Binny Gill, CEO of Kognitos, works through a question that comes up whenever AI gets close to a real process: if the model is getting better, why not simply give it more authority?
The answer in this session is that intelligence and authority are separate things, and that treating them as one is what makes finance teams slow AI down in the first place. Separate them properly and you do not have to.
What the session covers
Why slowing down does not establish control. Adding review steps to a probabilistic system reduces throughput without making the system predictable. The same input can still produce a different answer, so the review never ends.
Separating reasoning from execution. The model reads, interprets and proposes. A deterministic executor performs the action. The probabilistic part never writes to the ledger, which is what makes a run reproducible and a control testable.
Where the human sits. AI proposes, humans authorize, deterministic systems execute. The point of the human step is judgment on the cases that need it, not re-checking work a reliable system already did.
What this means for the audit. Every action traces back to a rule someone wrote, and every run can be replayed, so the answer to "why did this happen" is retrieved rather than reconstructed.
Who this recording is for
Controllers, CFOs and VPs of Finance; heads of shared services and GBS; and the internal audit and compliance leaders who have to sign off before AI touches a close or a payment run.