Governed AI, put to work across your whole business.
Put AI agents to work across every department — each action under a named person, inside the permissions you set, on a record you can prove. One rule makes that possible: the platform never takes an agent’s word for anything. Cognethics is the inverse of bolting a separate assistant onto each of a dozen disconnected systems: one governed platform that connects the systems you already run and puts agents to work across all of them, never outside the permissions, budgets, and audit trail you control. You keep your systems of record; we make them safe to automate.
- One login for every department
- Every action on the record
- Your data, walled off to your org
The full app catalog — sales, finance, HR, operations, legal, support and more — sharing one login and one audit trail.
Ten systems — plus the glue between them.
Every team buys its own software. Finance has one tool, HR another, support a third, legal a fourth. The data never lines up, the integrations break, and “adding AI” means wiring a separate assistant into each silo — each with its own login, its own rules, and no shared memory.
You end up paying for ten systems and the glue between them, and you still can’t get one clean answer that spans the business. Cognethics replaces that glue and the bolted-on AI tools with one governed platform that connects every department’s work — sharing one login, one permission model, and one verifiable record.
The business case is a matter of record.
A4 by Cognethics runs every application and every agent through one permission model, on one unified record — and it is built to the standards your industry holds you to.
Four things you can put on the record. Not the slide.
Plain answers to the four questions an economic buyer actually asks — each one true of the platform as it runs today, and each one a link in the same chain: know your business, run your business, prove it to anyone — and keep it yours.
The model is the engine. Your company’s knowledge is not in it, and your rules are not in it.
A general-purpose AI assistant answers over whatever it is handed. It does not know your customers, your contracts or your equipment, and it does not know who is allowed to do what. The agent uses our system; it cannot do this by itself. The way we prepare the data, set it up, attack the question and analyze the answer is ours, not the model’s. A4 is not a search tool, not a data warehouse and not a chatbot over your data.
A larger model reads more. The platform decides what not to read, keeps the source of what it kept, and does it under your rules. The value is in the reduction, not the volume.
The data needs to be organized. The agents need to be orchestrated. That is what we do.
The hard part was never the agent.
It’s the permissions, the proof, and the data ownership that have to hold under pressure. Anyone can put an AI in a chat box. What takes years to build is the layer underneath: every action resolved against a permission tree, every step written to a record you can verify, every sub-task scoped to strictly less authority than the one that launched it.
“Just ask the AI” can never become a way around your controls, because an agent works inside the permissions of the person it acts for — and anything beyond them is a time-limited grant a named approver signed off. That link is live: deactivate the person and their agents stop. The layer is already built and enforced, not promised.
A person’s effective access, resolved per individual across thousands of fine-grained permissions — deny-by-default, broken out by domain, every grant tracing to the rule that decided it.
Every action is provable — not just logged.
Each change is written to a tamper-evident record: what was touched, by whom, and whether it was allowed. Alter a single entry and it’s detectable. An auditor can confirm the record without taking our word for it.
An agent completes the work — under budget, on the record.
One platform holds every department’s work, and agents act across all of it under the limits you set. We run our own company on it every day.
An AI agent can take an accounts-payable review from intake to done — reading each invoice, checking it against the order and the receipt, sending the exceptions to a person, and finishing when the work is done. Inside its spending limit, every step recorded and verifiable — a full decision record an auditor could replay. The same governed platform that runs our first-party applications is the one you build on.
An accounts-payable review completed end-to-end by an agent — inside its spending limit, every step on the record.
Bring a real question. We’ll show you the answer.
Bring an active question — a document hunt, a finance review, a record you can’t reconcile. We’ll open the platform against your data and show you the answer arrive, with the proof behind it. A real person replies within one business day.