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1,000 quotes a year from days to hours

TIBN handles around 1,000 quote requests a year for technical maintenance, every one of them by hand. It ate up time, threw up errors and kept hitting a capacity ceiling. We built an AI flow that runs from job sheet to finished quote.

Client
TIBN
Sector
Technical maintenance
Volume
1,000 requests/yr
Delivery
10–14 weeks
TIBN · 1,000 quotes a year from days to hours

The challenge

TIBN took in a thousand quote requests a year, working out each one by hand. It was slow and error-prone, and there was only so much the team could get through.

So requests piled up and revenue went out the door. The only way to scale up was to hire more people.

Our approach

  1. 01

    Read the job sheet

    The flow reads incoming job sheets, whether PDF or plain text, and pulls out the relevant data automatically.

  2. 02

    Match standard times and recipes

    The extracted lines are matched to standard times and standard recipes, drawing on data from 2BA, Gilde and calculation time standards.

  3. 03

    Quote in house style

    The system generates a complete PDF quote in the house style, ready to review and send.

  4. 04

    The human decides

    The estimator checks the quote and signs it off. The system takes the repetitive work off their hands; the call stays theirs.

The result

The business case assumes 70 to 80 percent of requests handled fully automatically, lead times dropping from days to hours and 500 to 750 hours freed up each year.

That brings the payback period down to six to nine months, with an expected ROI of 260 to 400 percent from year two onwards.

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