AI ambition is now a board-level question, whatever business you are in.
Tokto gives the CEO one record that ties every AI capability, every model output, and every vendor data flow to a business unit, a policy, and a person, ready for the board, the auditor, the regulator, and the customer.
An AI tool your company shipped produces an output that reaches a customer, a regulator, or the press. The board asks how AI is governed across the business. No one has an answer that survives the conversation.
What you get with Tokto
- Every AI capability the company ships across every function, governed and recorded.
- A single system of record that the board, the auditor, the regulator, and the customer read against the same evidence.
- Policy applied at the prompt across every co-pilot, every vendor integration, every customer-facing AI.
- AI advantage at the speed the business needs to move, with the audit trail the company cannot afford to be without.
How it works
Tokto is the AI operating foundation of the company. Every co-pilot, every internal tool, every vendor-shared AI is supervised at the moment of output. The record is enterprise-owned, immutable, and queryable by business unit, by function, by data category. The higher the company's AI ambitions go, the deeper this foundation has to be.
When the company wants AI-native operations without an incident it cannot explain, when the company wants AI cost defensible on every invoice, when the company wants the board confidence to invest, the answer is one supervised control plane. The CEO ships business performance, not cleanup.
What goes wrong without it
- An AI output reaches a customer and goes wrong. The company cannot reconstruct what happened.
- Sensitive data leaves the company through an uncontrolled AI tool. There is no record of what went where.
- A regulator asks how an AI decision was made. The company produces dashboards that do not reconcile.
- The board freezes AI investment after two quarters of unaccounted spend. A faster competitor pulls ahead.
In a 20-day stretch in early 2023, Samsung's semiconductor division leaked proprietary chip source code, equipment defect detection code, and internal meeting transcripts into ChatGPT in three separate incidents — data the company could no longer control once it left the boundary. Samsung immediately banned public LLMs and committed to building an internal AI system. The same paste-into-public-LLM pattern has since been observed across the manufacturing sector at scale.
See how Tokto makes enterprise AI visible, governed, and accountable for CEO & Board in Every Industry.
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