Binary Intelligence

AI OPERATIONS FOR WINDOWS INFRASTRUCTURE

AI-powered self-healing Windows infrastructure

Binary Intelligence detects failures, fixes services and configuration drift inside your policy limits, and verifies recovery before closing the incident — so your team firefights less and ships more.

From a single Windows PC to 10,000+ endpoints — start in minutes.

How we work and why it matters

A single closed loop: recover the service, verify the result, and use the evidence to improve the next cycle.

How it works

Step 1

Observe

Continuously model endpoint health, dependencies, and service behavior so incidents are seen in context.

Step 2

Diagnose

Rank the safest known fix inside your policy envelope and confidence thresholds.

Step 3

Remediate

Apply the approved fix automatically, with a full record of signal, action, and authorization.

Step 4

Validate

Re-check against the live state model before the incident is considered closed.

Proof

< 30 days Target payback window in pilot environments Modeled with current pricing + benchmark assumptions
~76% Industry benchmark: AI-assisted resolution-time reduction Freshservice 2025 AI benchmark (industry, not BI-specific)
24x7 Autonomous response without pager wait states Within operator-defined boundaries

Sample incident output

Operators get a concise explanation, action taken, and verification status.

Incident: Service degradation (Spooler)
Root cause: Dependency mismatch after config drift
Action: Restore baseline policy + restart sequence
Confidence: 0.93 (autonomous allowed)
Validation: Healthy for 15m post-remediation
Audit ID: BI-2026-06-001842

What Binary Intelligence is not

  • Not a generic chatbot for IT tasks.
  • Not unrestricted autonomous change execution.
  • Not dependent on one AI model provider.

It is a bounded operations system designed for repeatable incident recovery.

Ready to evaluate fit for your environment?

We run structured pilots with clear success criteria, measured baseline metrics, and a documented go/no-go decision path.