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AI Troubleshooting

Guided decision trees that adapt to each customer in real time, generated automatically from your manuals and historical tickets — so customers solve problems themselves and your team only sees the cases that truly need them.

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Identify errors. Find solutions.
helpcode.ai · decision tree
Step 2 of 4
50% complete

Heating element check

Is the boiler's green LED on and steady?

Drawn from 12 KB sources
60%
fewer field interventions
Aggregated · Q1 2026 · 12 customers
<2 min
from a vague complaint to a clear fix
Median across 8.4k troubleshoot sessions
24/7
self-serve coverage on every device
All paid plans, including weekends

What it does

A diagnosis engine, not just a chatbot

Each interaction is grounded in the right device, the right manual and the right past case.

QR code or serial entry

Every conversation starts with the exact product context — no guessing, no clarifying loop.

Auto-generated decision trees

Trees are built from your manuals, FAQ and historical tickets, then refined every time someone solves a case.

Photos, voice and screenshots

Visitors describe the issue however they want. The AI parses photos and audio to narrow down the failure mode.

Step-by-step guidance

Each branch shows inline media, citations to the source page and clear yes/no checkpoints.

Auto-escalation with context

If the visitor is stuck, helpcode.ai opens a ticket pre-filled with the path, transcripts and any attachments.

Continuous retraining

Every successful resolution feeds back into the model. Similar problems are solved better the next time, automatically.

How it works

From a vague complaint to a fix in minutes

  1. 1

    Identify the device

    QR scan or serial number anchors the conversation in the right product.

  2. 2

    Narrow down the problem

    AI proposes the most likely causes for that exact device, based on your KB and past cases.

  3. 3

    Walk through the fix

    Interactive decision tree with citations to the manual page, photos and inline videos.

Use cases

Built for these teams

Coffee machines

QR-on-machine self-service: descaling, error codes, spare parts identification.

HVAC and heat pumps

Field technicians get the right schematic and the right past case in seconds.

Consumer electronics

Reduce returns from misuse with interactive setup and fault-isolation wizards.

How it gets better

The decision tree retrains itself with every solved case

Every visitor who reaches a working solution updates the tree's confidence; every dead-end gets a follow-up suggestion. The next visitor on the same problem walks a slightly better path.

Stage 1

Run

A visitor walks the current tree and either solves the problem or hits a dead-end. Every click is timestamped and attached to the case.

Stage 2

Capture

Outcomes (solved / partial / unresolved), free-text feedback, photos and any operator handoff get written to the training log.

Stage 3

Retrain

A nightly job clusters similar cases, scores branch performance and proposes tree edits — pruning weak branches, expanding successful ones.

Stage 4

Deploy

Edits the team approves go live on the same channel — no downtime, no migration. The next visitor sees the better version.

FAQ

Troubleshooting — answered

Can I edit the decision tree by hand?

Yes. Every node and option is visible in the dashboard; you can rewrite labels, add branches, mark a leaf as a solution, or detach a sub-tree. AI-suggested edits sit in a review queue until you approve them.

What happens if the customer doesn't find a solution?

Auto-escalation fires after a configurable dead-end threshold. A ticket opens with the visited path, the last AI thought, attachments and a one-line summary so the operator picks it up cold.

Do I need to write the troubleshoot tree from scratch?

No. Upload manuals and a few historical tickets — the first tree is generated for you. You refine the parts that matter; the retraining loop covers the rest.

Can the same device run two trees in different languages?

Yes — channels are language-scoped. Same device, different channel per language, each tree retrained independently against its own visitor traffic.

What it costs

Transparent per-seat pricing

€20
Starter — per seat/month, billed yearly
€79
Business — per seat/month, billed yearly
7
Days of free trial — no credit card
See full pricing

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