Record a reliability decision for each AI output
We take off your hands: writing up who checked each output, what they assumed and what they concluded, and running the dip samples.
You get: a reliability record on each job file, a dip sample log and a quarterly summary for your compliance lead.
Get a price for thisOr check first: Are we ready for AI?
The problem
We use AI on jobs, but we have no proper record of who checked what.
How it works
What comes in
- AI system register, job records, output samples, standard's required fields
What AI does
Prompts for and stores reliability decisions, schedules random samples, routes them to reviewers and records outcomes.
What you get
- Reliability decision records per job, dip sample log and quarterly summary
Who signs it off
Your named, qualified surveyor makes each reliability decision and reviews the samples.
What it needs to work
- An AI register and job software access
If those aren’t in place yet, you’ll hear that before anything gets built.
Who it’s for
- Surveyors and cost consultants
What would this cost for your team?
Answer questions about your company and how this work runs today. You see an indicative estimate of the hours back, what that time is worth and the price when you send your details.
Get a price for thisOr check first: Are we ready for AI?