Built Logic

See what AI can do

Price a maintenance tender from the client's asset list using SFG20

We take off your hands: matching a huge asset list to SFG20 schedules and adding up the labour hours, travel and specialist costs.

You get: a draft price build-up and labour plan by skill level, with the assumptions that drive the price, for your estimator to set rates, risk and margin.

Get a price for this

Or check first: Are we ready for AI?

The problem

We price maintenance tenders on gut feel because the asset lists are huge.

How it works

  1. What comes in

    • Tender asset list, scope and SLAs, SFG20 licence, labour rates, site locations, subcontractor prices

  2. What AI does

    Matches assets to schedules, totals hours by skill and site, models travel, and builds a price build-up with assumptions listed.

  3. What you get

    • Draft price build-up, labour and resource plan, assumptions and exclusions list

  4. Who signs it off

    Your estimator and director set the rates, risk and margin and sign off the bid.

What it needs to work

  • SFG20 licence
  • Usable asset list
  • Company's rate data

If those aren’t in place yet, you’ll hear that before anything gets built.

Who it’s for

  • Specialist subcontractors

Where this joins up

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 this

Or check first: Are we ready for AI?