GOVERNANCE
Trust is structural, not procedural.
You do not have an AI problem. You have a permission problem. Every company can generate a plausible agent. Almost none can say what it is allowed to do, prove who decided that, and show the trail.
MyWave closes that gap in the architecture, not in a slide.
The Supervisor: Every response is checked before anyone sees it.
The Supervisor reads every response against the policy you wrote in plain language. The check is deterministic: it enforces your rules exactly, the same way every time, and it runs outside the model. It is not another AI forming a second opinion.
Gartner published its first Market Guide for Guardian Agents in February 2026, defining the category of agents that supervise other AI at runtime. (Gartner, February 2026) Ours is the deterministic one.
On guardrails. Most vendors give you guardrails. Guardrails are the floor. Ask what happens to the response that clears them… and is still wrong. We check that response against your written policy, as it runs.
Your policy is the configuration. Your configuration is the policy.
The plain-language policy is at the same time the control document your auditors read and the configuration your agent runs. Nothing drifts between what you documented and what is executing, because they are the same artifact.
When the policy needs to change: one edit, in one document, reviewed in one cycle. It propagates everywhere it applies.
A prompt instruction is a request. A policy enforced outside the model is a rule. Your auditors know the difference, and so do we.
One agent. One trail. Nothing to track down or manage.
One agent holds the full context of a case from first message to final transaction, so every decision sits in a single explainable trace. Not reconstructed across a fleet after the fact.
That is the practical difference between one agent and fifty: when audit asks what happened, there is one answer, in one place.
A fleet of agents is not redundancy. It is fifty points of failure with fifty sets of credentials, and most organizations cannot even inventory the ones they have. Fewer than half of companies can list the agents they are running. (SAP News Center, August 2026)
We concentrated the governance, not the risk. The agent's authority is scoped process by process in the policy you wrote. Every response is checked before it leaves. Compliance-critical processes run as deterministic workflows, exactly as designed.
You already trust one general ledger for the same reason. One gate is not a weakness in an audit. It is the only thing an auditor has ever trusted.
"Isn't one agent a single point of failure?"
Gartner's autonomy tiers run observe, advise, act with approval, act autonomously. We support all four, and you set the tier process by process rather than once for the whole company.
Probabilistic where the work is full of exceptions and the agent should weigh the case in front of it. Deterministic where the process has to run identically every time. Same skills, same policy, same trail.
Autonomous within policy. And only within it.
Probabilistic where it thinks.
Governed in everything it does.
Some processes are full of exceptions, and the agent should weigh the case in front of it. Others have to run identically every time, because compliance depends on it.
You choose per process. Autonomous within policy where judgment helps. Deterministic workflows where prescription matters. Same skills, same governance, either way.
Gartner's autonomy tiers run observe, advise, act with approval, act autonomously. We support all four, and you set the tier process by process.
The plain-language policy is both the auditable control document and the runtime configuration
Every response checked against written policy by deterministic enforcement outside the model
One agent holds the full context of a case from first message to final transaction
