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Intelligence & context layer

Meet Haya, Nanoheal’s AI and analytics.

Haya reads what your devices report against what your organisation knows, finds what is going wrong and why, and shows the fix. Your team approves what runs.

Haya · Executive overviewLast 30 days · 200 machines

66.2DEX score

  • 65.1Technology
  • 53.8Endpoint
  • 76.3Network
  • 67.4Sentiment

Score trend

Who is affected

46of 200 machines

below the usable bar this month

  1. Watches

    Each device, site and group against its own history, so a slow drift shows before the calls start.

  2. Forecasts

    Where a metric is heading, with a likely range, so a capacity problem arrives with a date.

  3. Explains

    Which sites and groups drove a change, and how many devices it touches.

  4. Answers

    A question in plain English, with the same number the dashboard shows.

  5. Suggests

    The fix that suits this device and this situation, for your team to approve.

Context

Two identical crashes can need different fixes.

One is a known driver conflict on a build you are retiring. The other is a finance laptop three days from an audit. Haya shows the right fix for each.

Same crash, two incidents

Event 4101 · Display driver reset
ContextAn Engineering laptop on the build you are retiring, a known driver conflict
FixDriver rolled back to the known-good version, display checked
Event 4101 · Display driver reset
ContextA Finance laptop three days from an audit
FixNothing changed before the audit; owner told, fix booked for after
Detect and forecast

Catches it before the employee does.

Some problems announce themselves. Others build for days. Haya watches for both.

Its own baseline
Each device, site and group is compared with its own history, not a fleet average.
Forecasts
Metrics are projected forward with a likely range, so a capacity problem arrives with a date attached.
Less noise
Related alerts are grouped into one incident, so a single odd spike does not page anyone.

Forecasting and anomaly detection point at a problem. They never act on it alone.

Haya Active Alerts board: the alert count by severity and the feed of alerts firing now, each row naming the signal, its scope and the query that produced it, with demo tenant data
Haya analytics · Active alerts
What it reads

What Haya checks before it suggests a fix.

Four sources, read against each other. Leave one out and the wrong fix can run.

Haya Crash and Hang dashboard: failure kinds ranked, crash leaders and failures by hour, with demo tenant data
Haya analytics · Crash & Hang
SourceWhat it contributesWithout it

DEX analytics

Performance, crashes, drift and availability across the fleet

A one-off looks like a pattern, and a pattern like a one-off

IT knowledge and SOPs

How your organisation actually resolves this, including the steps nobody wrote down

Every fix is generic rather than yours

ITSM history

What was tried before, and whether it held

Resolutions that already failed get repeated

CMDB and policy

Owner, role, entitlement, compliance obligation, change freeze

The right action lands on a machine that should not have been touched

What it writes

It does not pick from a catalogue. It writes the entry.

Matching a problem to an old fix is the easy half. Haya works out which steps the situation needs, in what order and with what settings, and writes that up as a new library entry through language-to-automation authoring. A person approves it once, and from then on every device can use it.

Nanoheal console: What needs fixing? Describe the issue in natural language and a workflow is suggested to customise
Nanoheal console · Describe the task, and a workflow comes back
What it decides

Which fix, with which settings.

A display driver that keeps resetting needs the last known-good version restored, the update held back and the display checked. On another build the version and the package differ. Haya keeps that difference in the library entry, so nobody maintains a branching script for it. The agent’s actions are the same on every device; what your organisation would do lives in the entry, not in code.

Nanoheal console: two library entries, Chrome Cleanup scoped for Clinical and Citrix, and Edge WebView2 Repair scoped for Field and VMware, each tagged autoheal and active.
Nanoheal console · Two library entries, each scoped to where it runs
Ask in plain English

Ask in plain English. Get the dashboard’s number.

You can ask a question in plain English and get the same number the dashboard shows. Every question, typed or on a dashboard, resolves to the same definition before it is answered, so the two never disagree.

When a question cannot be answered from a defined metric, Haya says so rather than guessing. It runs on your choice of model, including a locally hosted one.

Haya · Ask a question
You asked

Why do engineering laptops keep freezing this week?

248 display driver resets in 30 days, up 4× on the usual level. 91% are on Windows 11 build 22621, the build being retired, starting after Tuesday’s driver update.

WhereEngineering · 52 devices
HowDriver rollback · in your library
Same number as the dashboard, from the same definition.
Ask in plain EnglishType the question → the dashboard’s number, same definition → where and how → send for approval
Root cause and dashboards

Where it started, and how big it is.

Root cause

Narrow the search.

Haya gives a root-cause ranking of which sites and device groups drove an anomaly, with what changed where and how many devices are affected.

The dashboards sit on the same definitions as the questions you ask. What the dashboards measure.

Haya Branch / Location board, experience by site, worst first: Remote, London, NYC_HQ, Bangalore, Austin and Singapore, each with its devices, score, devices below the bar, network delay and crashes, with demo tenant data.
Haya analytics · Branch / Location, experience by site, worst first
How big

248

display driver resets in 30 days

Up 4× on the usual level (dashed)

Where
Engineering · Windows 11 build 2262191%
Every other team and build9%
What changed

Starting after Tuesday’s driver update

Devices

52 · engineering

What to do

Driver rollback

Already in your library

Send for approval, scoped to the 52 devices

Where the anomaly concentrates, not proof of its cause: a person decides.
What you validate

Haya suggests the fix. Your team approves what runs.

HayaYour team

Flags an anomaly or forecasts a problem.

Decides whether to act, and with which fix.

Answers a question and writes or points to the library entry.

Approves it, then stages and publishes it.

Ranks the sites and groups behind a change.

Chooses where the fix goes first.

Haya itself runs behind approval gates, role-based access, execution traces and PII masking. It does not run anything on devices. Trust & security.