AI for electrical and gas inspection: complete reports, written in half the time
IASWITCH helps electrical and gas inspection bodies produce reports faster without losing rigour: a structured draft from field input or a voice note, suggested non-conformities and references, automatic completeness checks before sending. The inspector validates every point and remains solely responsible for the report.
In brief
- The report is prepared from field input, photos or a voice note: the inspector reviews and validates instead of writing.
- Incomplete or inconsistent reports are flagged before sending: missing field, missing photo, contradictory conclusion.
- Re-inspections are tracked and followed up automatically.
- Ballpark for 6 inspectors: about 100 hours of writing recovered per month (estimate, assumptions below).
- Full traceability: every AI suggestion and every validation is recorded.
Where does an inspection body lose time?
The visit itself is rarely the bottleneck. What weighs is writing reports afterwards, finding the right regulatory references, back-and-forth when a report is incomplete, scheduling visits and chasing re-inspections after a non-conformity.
How does AI write an inspection report without losing rigour?
The inspector records findings on site, takes photos or dictates observations. AI turns them into a structured draft following your report template: installation inspected, findings, non-conformities, suggested references, conclusion.
Nothing goes out without validation: the inspector accepts, corrects or rejects each suggestion. The template, vocabulary and references come from your documents, not from the internet.
Can report completeness be checked automatically?
- Missing or inconsistent mandatory fields (for instance a "compliant" conclusion with a non-conformity recorded).
- Expected photos or documents missing.
- Ambiguous wording flagged before the report reaches the customer.
The quality check that used to happen through human proofreading at the end now happens while writing.
How much time does an inspector save?
| Task | Assumption | Before | After | Monthly gain |
|---|---|---|---|---|
| Writing reports | 6 inspectors × 4 reports a day, 20 days | 20 min | 8 min | ≈ 96 h |
| Fixing incomplete reports | 30 reports a month sent back | 15 min | 5 min | ≈ 5 h |
| Re-inspection follow-ups | 40 follow-ups a month | 5 min | 1 min | ≈ 3 h |
Indicative estimate, to be checked on your real reports during the intro call.
Who remains responsible for the report?
The inspector, always. AI is a preparation tool: it suggests, the inspector decides. Every suggestion and validation is logged, which helps internal audits and accreditation reviews.
How much does an AI project cost for an inspection body?
It depends on scope and report volume. A focused first use case is measured in days of work; you get a clear estimate after the 20-minute intro call, before any commitment.
Frequently asked questions
Can the AI get a regulatory reference wrong?
Yes, it can; that is why every suggested reference links to its source text and the inspector validates each point. Suggestion quality is measured continuously.
Do we need to replace our reporting software?
No. AI plugs into your current tool or produces a document in your existing template.
Are customer addresses and data protected?
Yes: European or on-premises hosting, per-inspector access, logging, no reuse of data to train models.
Can it be used in the field without a connection?
Input can be done offline; the report is prepared as soon as the connection is back.
How long to get started?
A first use case, often preparing reports for one inspection type, is delivered within a few weeks.
Let's talk about the time you could save.
In 20 minutes, we find where AI could save you time or money. Free, no commitment.