Can AI handle complex technical support cases?

It can prepare them. Retrieval, cross-referencing and drafting are where the time goes; diagnosis and judgement stay with your engineers. QlintAI is designed to hand a case back rather than guess.

How does it avoid inventing technical details?

Drafts are written from retrieved passages of your own documentation and past conversations, with sources shown. Where nothing supports a claim, the draft flags it rather than asserting it.

Can it use our internal documentation?

Yes. PDF, Word, Markdown, plain text, CSV and JSON files are indexed into searchable company knowledge that stays inside your workspace.

What about products with many versions?

Upload the documentation per version. Because answers cite the source, a reviewer can immediately see which version an answer was drawn from.

AI for technical support

AI for technical support, where a confident wrong answer is expensive.

Firmware versions, compatibility matrices, known faults and the workaround someone documented eighteen months ago. Technical support runs on detail, and detail is exactly what general AI gets wrong.

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In technical support, a plausible answer is not a good answer. Telling a customer to roll back a firmware version when they did not need to costs a maintenance window. Telling them a component is compatible when it is not costs considerably more.

QlintAI is built so the reviewer can verify quickly. It retrieves the specific passages behind an answer, shows them next to the draft, and separates what it is confident about from what a person still needs to confirm.

It also remembers precedent. A fault your team has already diagnosed once should not be diagnosed from scratch by the next person to see it.

Firmware update fails on gateway v3

Needs reply · today

Maria Lindqvist · Nordbygg Service · 09:14

“We updated three gateways yesterday and two of them stopped reporting. Do we need to roll back, and is the new firmware compatible with the older sensors we bought in 2023?”

Prepared reply · review before sending

Hi Maria, no rollback needed. Gateways stop reporting when the update completes before the sensor pairing refresh — a power cycle on each unit restores reporting within two minutes. Firmware 4.2 is compatible with the 2023 sensor range; only the discontinued S1 module needs the legacy channel.

Approve & sendEditNothing sends by itself.

Questions detected

Is a rollback required?
Is firmware 4.2 compatible with 2023 sensors?

Sources used

Firmware 4.2 release notes
Compatibility matrix (internal)
Case #4471 — same symptom, resolved

Confidence

High on the rollback answer. The S1 module exception is flagged for a human to confirm.

Illustration of the QlintAI case view. Example content, not a real customer.

Precedent from past cases

Earlier conversations in the mailbox are context. When the same symptom appears again, the case that resolved it is surfaced with the draft.

Version-aware retrieval

Answers come from the documentation you uploaded, so release notes and compatibility information are cited rather than recalled from a model's memory.

Explicit uncertainty

Exceptions, discontinued parts and gaps in your documentation are flagged in the draft instead of being smoothed into fluent prose.

Missing information, requested

If the case cannot be answered without a serial number, log file or site detail, QlintAI says so and drafts the question.

Checklist

Before you let AI near technical cases.

Answers must cite the document and version they came from
Unverified claims must be visibly separated from verified ones
The assistant must be able to say it does not know
Past resolved cases must count as evidence
Escalation to a human must be a first-class outcome, not a failure state
Nothing may reach a customer without review

Questions

Answers before you ask us.

Test it on the cases you would normally escalate.

Those are the ones that reveal whether an assistant is genuinely useful or merely fluent.