01
Capability outran control
Tool connectors scaled faster than runtime admission for high-impact actions.
Enterprise software · Runtime control plane
Privileged agent actions don’t execute until the control plane decides
AINav sits between the agent and the effect. It allows, denies, or escalates under human authority—before anything irreversible lands—with request-bound approval and a clear decision record.
Allow
Deny
Escalate
RAG grounds answers. IAM gates people. Logs explain the past. AINav decides whether an agent action may proceed now.
The gap
Agentic systems reach tools. Authority has to meet them on the path.
Teams are moving past chat into workflows that call tools, change state, and trigger external effects. Enterprise copilots and knowledge bots help with drafting and retrieval. They do not answer the institutional question when an agent proposes something privileged.
May this action proceed—under whose authority—with what evidence—before anything irreversible happens?
02
After-the-fact is too late
Logs and SIEM matter. They do not stop a privileged effect while it is still pending.
03
Standing privilege breaks
Open-ended agent authority is fragile. Approvals should bind to one request—and die after use or time.
Product
A control plane between the agent and the effect
AINav does not replace your models, identity provider, or execution systems. It admits privileged actions: allow, deny, or escalate—then records what was decided.
ADMIT
Allow · Deny · Escalate
Closed decision vocabulary at runtime under policy and system mode.
HOLD
Escalate holds the effect
Sensitive actions wait for a human. Nothing privileged proceeds on silence.
BIND
Request-bound approval
Authority attaches to what was approved—not to whatever the agent sends next.
ONCE
Single-use authority
A successful allow consumes the ticket. Replay does not inherit consent.
STOP
Fail-closed halt
Institutional stop can deny privileged classes even after a prior approval.
RECORD
Decision evidence
What was proposed, decided, and under what authority—correlated for review.
Before the effect
Mediation on the path—not only a dashboard afterward.
Synthetic-first
Prove the loop on controlled scenarios before production paths.
Reproducible evaluation
Pass/fail outcomes you can re-run under commercial process.
What AINav is
- Enterprise software — runtime control plane
- Admission of privileged agent actions
- Human-in-the-loop where policy requires it
- Reviewable decision evidence
What AINav is not
- Consulting or staff augmentation
- Cloud provider, GPU host, or model marketplace
- Hardware reseller or distributor
- Agent framework, OMS, or autonomous trading system
How it works
One path. Decision first. Effect only when allowed.
01
ProposeAgent requests an action that may be privileged.02
DecideAllow, deny, or escalate under policy and mode.03
ResolveA human approves or denies a held request.04
EffectOnly authorized paths proceed.05
RecordCorrelated evidence of ask and decision.Example paths
What the control plane is designed to enforce
Illustrative behaviors—not a public test catalog. In evaluation, scenarios are exercised as reproducible pass/fail outcomes under commercial process.
Read path
Low-risk reads can proceed
Policy can allow research-style actions without human escalation—so the control plane does not bottleneck ordinary retrieval.
Escalate
Privileged actions hold for a human
High-impact proposals do not auto-execute. The effect stays blocked until approve, deny, or expiry.
Bound
Approval is for one specific request
After human approve, only a matching follow-up may proceed. A changed payload does not inherit consent.
Once
Successful allow is single-use
Replaying the same approval does not authorize a second effect.
Halt
Institutional stop outranks outstanding approval
When the plane is in a fail-closed stop mode, privileged classes can be denied even if a ticket was previously issued.
Default
Unknown action classes fail closed
What is not explicitly allowed or escalated is denied—not silently executed.
Positioning
Narrow question. Hard requirement.
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 |
Who it’s for
Teams connecting agents to tools that change state
If the workflow only drafts text, you may not need a control plane yet. If agents can move money, change limits, alter access, or trigger external actions, you do.
TRADING / OPS TECH
Execution paths under control
Keep halt and human-approval semantics on agent-proposed privileged steps—not only on human consoles.
SECURITY
Fail closed at the tool boundary
Default deny, request-bound approval, and decision evidence when agents hold tool credentials.
RISK / CONTROL
Authority you can reconstruct
Who proposed, who decided, what was approved—before irreversible effects land.
Evaluate
Prove the authority loop without production risk
Pilots are time-boxed software evaluations—measured in weeks, not open-ended programs. Synthetic scenarios first. No live production authority implied by a successful evaluation.
- Briefing — Align on the privileged actions you care about and whether a control plane fits.
- Synthetic scenarios — Exercise allow, deny, escalate, fail-closed stop, and request-bound approval without production credentials.
- Architecture fit — Under commercial process: where the plane sits relative to your tools.
- Commercial path — Licensing for the software product—not a body-shop delivery engagement.
In a typical pilot
- Authority loop on synthetic scenarios
- Allow / deny / escalate and fail-closed stop
- Request-bound human approval
- Decision records for review
- Reproducible pass/fail outcomes
Not implied by a pilot
- Live production effects or live order authority
- Enterprise-wide deployment obligation
- GPU capacity, model hosting, or staff augmentation
- Automatic production license after evaluation
Principles
Designed for privileged automation
Fail closed
Uncertainty should not become silent allow on privileged actions.
Least privilege
Agents should not hold standing authority for sensitive effects.
Human authority
Sensitive actions can require a person—not only a model score.
Request-bound
Approvals can expire and bind to a specific request.
Evidence
Decisions should be reconstructable after the fact.
Synthetic-first
Evaluate behavior before connecting production systems.
Architecture detail and security questionnaires are handled under commercial discussion—not as a public how-to.
FAQ
Straight answers
Is AINav a consulting firm?
No. AINav builds and licenses enterprise software—a runtime control plane for privileged AI agent actions—not staffing or general implementation services.
Is AINav a cloud provider or GPU host?
No. AINav governs privileged action paths. You keep your models, clouds, and execution systems.
How is AINav different from a chatbot with RAG?
RAG grounds answers in your documents. AINav decides whether a privileged agent action may proceed—allow, deny, or escalate—before the effect lands. Knowledge grounding and action admission are different control problems.
How is AINav different from IAM, PAM, or logging?
IAM and PAM primarily govern human identity and access. Logs record what already happened. AINav decides whether a privileged agent action may proceed—under human authority—before the effect lands, with a reviewable decision record.
Do we need production systems to evaluate?
No. Evaluation is synthetic-first. You can exercise the authority loop without production data, credentials, or live effect paths.
What does a pilot include?
A time-boxed evaluation of the authority loop on synthetic scenarios: allow, deny, escalate, fail-closed stop, request-bound approval, and decision records. It does not authorize live production effects or imply firm-wide deployment.
What do you sell?
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
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.
Product company
Enterprise software
Not consulting
Not a CSP
Not a reseller
United States
Contact
Request a pilot briefing
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.
Email
pilots@ainav.institute
Include name, company, role, and the actions you’re evaluating.
What you’ll get
A focused discussion of the authority loop: allow, deny, escalate, fail-closed stop, request-bound approval, and synthetic evaluation.
No production connectivity required. No obligation to deploy firm-wide.
AINav · ainav.institute