Sector · Construction
AI for construction
Quotes, site start-ups, the site diary, invoices and real margin, using the information your company already has and what comes in from site by message.
Does this happen in your company?
- Material missing on the first day on site?Sheets, panels or signs that did not arrive mean extra trips and lost days.
- Do invoices only arrive at month end?And they are typed in by hand, one by one, when it is too late to fix anything.
- Is the margin only known at close-out?The gap between quoted and actual shows up when the job is already finished.
- Does what happens on site stay on WhatsApp?Messages and photos get lost, and rotas are copied into spreadsheets by hand.
- Are rain days left unrecorded?And they are missed when a delay has to be justified or an extension requested.
- “Have we built one like this before?”Quotes and site diaries from past jobs sit in folders nobody can find.
Where FairAI fits in, from order to delivery
- 1 · Tender
“Have we done this before?” Answered in seconds
- Today
- The answer exists, but it is scattered: a quote in a spreadsheet, a drawing in a folder, a decision in an email from two years ago. Only one or two people remember.
- With FairAI
- Ask in everyday words. FairAI searches spreadsheets, PDFs, emails and images and shows every result with its source.
- Past jobs found by anyone with access
- Less reliance on whoever remembers
- Photos found by what they show, even without tags
Builds on our workthe search across years of orders, documents and images we built for a ceramics manufacturer.
See the example working - 2 · Quote
A technical quote in minutes, not days?
- Today
- To build a quote, someone searches folders and spreadsheets for similar jobs, redoes the maths and waits for the person who knows the prices to be available.
- With FairAI
- The enquiry arrives with the drawing. FairAI finds the most similar past jobs and proposes the lines, with the source of every figure. The estimator reviews, adjusts and sends.
- Quotes go out even when the most experienced person is away
- Prices consistent with what the company has charged before
- Every line shows its source, so it is quick to check
Builds on our workthe AI quoting in use at Play Planet, connected to its ERP. Read the case study Play Planet
See the example working - 3 · Preparation
Nothing forgotten when the project starts
- Today
- Site preparation lives in emails and in the site manager’s head. A forgotten plate or board means a special trip and can hold up payment.
- With FairAI
- Each project has a checklist with owners and dates. FairAI follows up on orders and warns in time about what is still missing, seven days before the start.
- An owner and a date for every item
- Warnings before a delay becomes a problem
- Fewer trips just to bring what was missing
Builds on our worka concept designed with a construction client, on top of the CRM they already use.
See the example working - 4 · Execution
The site diary writes itself
- Today
- What happens on site stays in messages or in the foreman’s memory. When a delay must be justified or a complaint answered, nobody can find the record.
- With FairAI
- Foremen and workers send voice, text and photos to the project chat. FairAI organises everything and writes the summary of each day: work done, stoppages and issues.
- No forms: just speak and take photos
- Rain days and stoppages logged
- History ready for complaints and extensions of time
Builds on our worka concept designed with a construction client, with the voice and photo reading from the app in use at F. Caixeiro. Read the case study F. Caixeiro
See the example working - 5 · Invoices
Invoices read and linked to the right project
- Today
- Invoices for site purchases arrive at the end of the month and someone spends days typing them in by hand, one by one.
- With FairAI
- The invoice arrives by email or message, is read and gets a suggested project and category. Accounts only approve it, and it goes into the ERP.
- Supplier, VAT number, amounts and VAT read automatically
- Project cost updated the same day
- Nothing goes into the ERP without approval
Builds on our worka concept designed with a construction client, on top of the ERP connection that already reads and writes.
See the example working - 6 · Close-out
Actuals improve the next quote
- Today
- Each project’s margin is only known at close-out, and the same variances repeat on the next project because the quote always starts from the same figures.
- With FairAI
- At close-out, FairAI compares quoted and actual by category and shows where margin was lost. The next quote starts from the actual figures, and the estimator decides.
- Variances by category, project by project
- Quotes closer to real cost
- Margin protected on the next projects
Builds on our worka concept designed with a construction client, on top of the AI quoting in use.
See the example working
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