Capability outran control
Tool connectors scaled faster than runtime admission for high-impact actions.
AINav sits between the agent and the effect. It allows, denies, or escalates under human authority—before anything irreversible lands—with request-bound, single-use approval and a clear decision record.
RAG grounds answers. IAM gates people. Logs explain the past. AINav decides whether an agent action may proceed now—before the effect lands.
The gap
Copilots and knowledge bots help with drafting and retrieval. They do not answer the institutional question when an agent proposes something privileged: a tool call that moves money, changes limits, alters access, writes production state, or triggers irreversible external effects.
May this action proceed—under whose authority—with what evidence—before anything irreversible happens?
Tool connectors scaled faster than runtime admission for high-impact actions.
Logs matter. They do not stop a privileged effect while it is still pending.
Open-ended agent authority is fragile. Approvals should bind to one request—and end after use or time.
Product
AINav is enterprise software for admitting privileged agent actions. It does not replace your models, identity provider, or execution systems. It decides allow / deny / escalate, holds effects when policy requires a human, and records what was decided.
The same admission pattern can extend to additional action classes as your automation grows—without becoming a model host, cloud, or consulting practice.
Fit check: If agents only draft text, you may not need this yet. If they can change state, you do.
Request a pilot briefingExample paths
Illustrative—not a public test catalog. In evaluation, scenarios are exercised as reproducible pass/fail outcomes under commercial process.
Policy can allow research-style actions without escalation—so the plane does not bottleneck ordinary retrieval.
High-impact proposals do not auto-execute. The effect stays blocked until approve, deny, or expiry.
After human approve, only a matching follow-up may proceed. A changed payload does not inherit consent.
Replaying the same approval does not authorize a second effect.
In fail-closed stop mode, privileged classes can be denied even if a ticket was previously issued.
What is not explicitly allowed or escalated is denied—not silently executed.
Positioning
May this agent action proceed right now? Adjacent tools answer different questions.
| Approach | Answers | Does not |
|---|---|---|
| Logs / SIEM | What already happened | Stop a pending privileged effect |
| IAM / PAM | Who a human is; what they can access | Admit agent-proposed tool calls at runtime |
| RAG / knowledge bots | What company documents say | Authorize or block side effects |
| Generic policy engines | Whether a rule matches | Always productize escalate + request-bound approval |
| AINav | Allow / deny / escalate before effect | Replace your model, cloud, or OMS |
Halt and human-approval semantics on agent-proposed privileged steps—not only human consoles.
Default deny, request-bound approval, and evidence when agents hold tool credentials.
Who proposed, who decided, what was approved—before irreversible effects land.
Pilot
Pilots are time-boxed software evaluations—typically measured in weeks. Synthetic scenarios first. A successful evaluation does not authorize live production effects or grant a production license by itself.
FAQ
No. AINav builds and licenses enterprise software—a runtime control plane for privileged AI agent actions—not staffing or general implementation services.
No. AINav governs privileged action paths. You keep your models, clouds, and execution systems.
RAG grounds answers in your documents. AINav decides whether a privileged agent action may proceed—allow, deny, or escalate—before the effect lands.
IAM and PAM primarily govern human identity and access. Logs record what already happened. AINav decides whether a privileged agent action may proceed before the effect lands.
When a human approves an escalated action, authority is bound to that specific request. A successful allow consumes the approval so it cannot be replayed, and a changed request does not inherit the prior approval. Institutional stop can still deny privileged classes.
No. Evaluation is synthetic-first. You can exercise the authority loop without production data, credentials, or live effect paths.
A time-boxed evaluation (typically measured in weeks) of the authority loop on synthetic scenarios. It does not authorize live production effects or imply firm-wide deployment.
Enterprise software for runtime admission of privileged agent actions, accessed through pilot briefings and commercial licensing—not GPU capacity, staff augmentation, or general AI project delivery.
Company
AINav is a United States software product company. We build the AINav control plane and operate under the brand AINav.Institute. Commercial motion: software evaluation and licensing—not staff augmentation or managed services.
Qualified organizations may request a briefing regardless of where they operate. Evaluation begins with synthetic scenarios and does not require production data or a jurisdiction-specific rollout to start the conversation. We do not claim to be a multi-country compliance platform.
Contact
Tell us who you are and which privileged agent actions you are evaluating. We respond from our company inbox. No production data required to start—and no requirement that you already have a live agent deployment in a specific country.
Email
pilots@ainav.institute
Include name, company, role, and the actions you’re evaluating. If your environment blocks mail links, copy the address into your mail client.
A focused discussion of the authority loop: allow, deny, escalate, fail-closed stop, request-bound single-use approval, and synthetic evaluation.
No production connectivity required. No obligation to deploy firm-wide.
AINav · ainav.institute