Fill in each prime contractor's quote format
AI copies your itemized quote into each prime contractor's format or quoting system. The estimator checks the mapping and amounts first.
- Runs on your own PCs and servers
- Use Azure OpenAI, Amazon Bedrock, Google Vertex AI, or an in-house model
- Its engine is Descarty's open-source Dagu (GPL-3.0)
The problem today
Specialist subcontractors prepare quotes that itemize labor, statutory welfare, and other costs. Yet each prime contractor uses its own quote format or quoting system, so the same breakdown is copied once for every prime contractor. In a pilot run by Japan's Ministry of Land, Infrastructure, Transport and Tourism, one participant said it would still have to prepare quotes in each prime contractor's own format.
The workflow in Kitewell
- Take in the quote request and the required Excel format that a prime contractor sends by emailEmail
- AI maps your quote's breakdown to the prime contractor's fields and lists items that are hard to mapAI judgment
- The estimator confirms the mapping and the amountsApproval
- Enter the breakdown in the prime contractor's quoting system and save the screen (or fill in and save the required Excel file)Web
- Staff check the entered screen and submitHuman task
- Save the submitted quote by project and record it in the registerAutomatic
What AI does
Maps your quote's items to the prime contractor's fields. Items that are hard to map, such as how materials and labor are split or how overhead is shown, go to staff with the reasoning.
Where people decide
The estimator decides labor rates, productivity rates, quantities, and amounts. AI never changes an amount. Staff decide whether to submit.
Prove Kitewell on your own systems
Try it free for 14 days on your own PC. To see it working first, ask for a 30-minute demo. There is also a one-month onboarding (¥500,000 before tax), where we build your first job together.
What to check when you try this work
- Whether your main prime contractors' terms of use and trading terms allow automated operation of their quoting systems
- Whether your breakdown maps correctly to each prime contractor's fields
- Whether each quoting system's sign-in works, including one-time passwords
- Where submitted quotes are kept, and how they link to each project
How the onboarding runs
- Week 1Requirements and success criteria
- Weeks 2 to 3Build
- Week 4Verify on production screens
- Final dayReport
One-month onboarding
- Length
- One month
- Cost
- ¥500,000 (tax excluded). Your staff build, with the developer beside them
- If you go on to a license
- The onboarding fee is credited to the first year's contract
- Without the onboarding
- At Team scale, start on Team monthly (¥14,800 per computer a month, tax excluded), and cancel in any month
You can try it first on your own PC, in the free 14-day trial.
Frequently asked questions
- May a tool operate a prime contractor's quoting system?
- It depends on your trading terms with the prime contractor and the system's terms of use. The PoC checks each prime contractor and automates only what is allowed.
- Does AI decide labor costs or productivity rates?
- No. The estimator decides labor rates, productivity rates, quantities, and amounts in your own quote. AI maps that breakdown to the prime contractor's fields.
- Does this work with prime contractors that use CI-NET?
- For prime contractors that exchange quotes over CI-NET, the construction industry's data exchange standard, replying from a CI-NET system is the quicker route. This use case suits prime contractors that ask for their own Excel format or use their own quoting system.
- Do our documents and screens leave the company?
- Kitewell runs on your own PCs and servers, and Descarty never receives your business data. You choose the AI model: a cloud API, or an in-house or local model with an OpenAI-compatible API. With an in-house model, no data leaves the company. With a cloud model, what the AI reads is sent to the model's provider.
- What if the AI misreads something?
- A person checks what the AI produced before the work goes on. In a sheet, every value the AI reads shows the quote it came from, and rows below your confidence threshold go to a person. Reviewers can send work back with notes on what to fix, and who approved what is kept in the run history.
- What happens when a screen changes or a run stops?
- When a screen changes, the AI reads it again, relearns the step, and carries on. The relearned step is saved, and later runs repeat it. If a run still stops, ask the assistant right there, and it finds the cause and proposes a fix. A proposal is not saved until a person applies it.
- What happens to the RPA and systems we use today?
- Keep them. Kitewell operates screens the way a person does, so it works with systems that have no API. Move the robots that keep stopping and the work you gave up automating because it needs judgment, and leave fast, fixed processing in your current RPA.
- What does it cost?
- ¥14,800 per computer per month, or ¥148,000 per computer when paid yearly, before tax. A computer costs the same whether it builds or runs. You can try it free for 14 days. The one-month onboarding, where we build your first job together, is ¥500,000 before tax, credited to the first year if you go on.
Related use cases
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Collect tender notices daily from government portals and municipal sites, and have AI judge which ones you can and should bid on. Sales makes the call.
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AI reads subcontractors' worker rosters and certificate copies and finds expired or missing licenses, health checks, and insurance. Staff check requests first.
Match subcontractor progress billing to orders
Progress billing charges for work as it is done. AI matches subcontractor invoices to orders and assessed progress; site managers check differences first.
See this work in a demo
A 30-minute demo shows this workflow running. The 14-day free trial lets you check it on your own systems.