Team
Australian residential and commercial construction owners, trades-business operators with 5 to 50 staff, and project managers
Last updated: July 2026
RFQs, vendor replies, site notes, and approvals slow projects before work starts.
Mia prepares the chase, compares the response, and flags what needs a manager.
The team gets cleaner handoffs without losing control of cost and risk.
Direct answer
Chase-and-prep work is where AI belongs on a construction project; project judgment is not.
A managed AI employee reads RFQ emails, bid packages, drawings, specs, attachments, due dates, and change-order context; tracks missing subcontractor pricing; drafts follow-ups; and prepares a review packet with quote deltas, blockers, and audit trail.
The project manager or estimator approves external communication and commitments.
Send the RFQ thread. Mia maps the first subcontractor chase, attachment, due-date, and review-pack loop.
Workday pressure
They say: quotes and approvals are slowing the job.
Answer the project-delay pressure first.
Team
Australian residential and commercial construction owners, trades-business operators with 5 to 50 staff, and project managers
Workday sentence
They say: rfq threads scatter across emails, pdfs, and phone calls, rfq chase before the review meeting.
Answer that pressure first.
Where it gets stuck
RFQ threads scatter across emails, PDFs, and phone calls: Subcontractor pricing, drawing revisions, attachments, due dates, and clarifications live in different threads.
The PM rebuilds the status before every review.
What cannot go wrong
Replacing on-site judgment, trade craft, or inspector sign-off on safety or quality decisions.
What stays human
Every external commitment waits for project-manager approval: All supplier RFQs, subcontractor follow-ups, variation-order emails, and EOT claims route for the site or project manager to review before send.
No autonomous emails.
No silent commitments.
First useful version
RFQ threads show missing pricing, overdue subcontractor responses, current attachments, and due dates in one review queue.
Work first
The question is simple.
Can this work be cleared with less cost, less waiting, fewer misses, and less manager attention?
Work to clear
RFQ threads show missing pricing, overdue subcontractor responses, current attachments, and due dates in one review queue.
Impact
To first RFQ status board, subcontractor chase, or change-order review packet.
Current cost
Subcontractor pricing, drawing revisions, attachments, due dates, and clarifications live in different threads.
The PM rebuilds the status before every review.
Human approval
Every external commitment waits for project-manager approval: All supplier RFQs, subcontractor follow-ups, variation-order emails, and EOT claims route for the site or project manager to review before send.
No autonomous emails.
No silent commitments.
What it costs now
Subcontractor pricing, drawing revisions, attachments, due dates, and clarifications live in different threads.
The PM rebuilds the status before every review.
One quote is missing, one is based on the wrong revision, and one needs clarification.
Without a tracked chase loop, approvals wait and cost exposure grows.
Scope change, T&M tags, revised drawings, quote differences, and approval notes need to line up before anyone can defend the decision later.
Result after week one
The outcome is a construction team where missing subcontractor pricing, revised drawings, due dates, and change-order context land in one project-manager review queue.
Requested pricing, response status, attachments, drawing revisions, and deadlines are tracked from email and project tools.
Follow-ups include the right scope, drawing revision, attachment links, and due date for PM approval.
Quote deltas, T&M references, blockers, and approval history are assembled before anyone commits.
How the work gets cleared
Chase-and-prep work is where AI belongs on a construction project; project judgment is not.
A managed AI employee reads RFQ emails, bid packages, drawings, specs, attachments, due dates, and change-order context; tracks missing subcontractor pricing; drafts follow-ups; and prepares a review packet with quote deltas, blockers, and audit trail.
The project manager or estimator approves external communication and commitments.
Start here
Broad AI searches get easier when the first job is obvious.
These pages show the owner, queue, sign-off step, and proof point.
Work in motion
Three week-one outputs. Drafted for review before send.
EXAMPLE · 01
Three subcontractors have not priced the revised scope.
The AI drafts the chase, attaches the right drawing revision, and gives the PM a review packet by 2pm.
EXAMPLE · 02
A scope change arrives with T&M notes and two supplier quotes.
The AI summarizes cost movement, missing attachments, and approval history for PM review.
EXAMPLE · 03
Closeout photos and comments are grouped by trade, severity, and owner so site meetings start with one list instead of scattered messages.
48-hour build
The AI employee tracks requested pricing, due dates, attachments, response status, missing items, and source links across email and project tools.
Follow-ups are drafted with scope, drawing revision, attachment links, due date, and requested clarification so the PM approves the message quickly.
Quote deltas, T&M references, open blockers, and approval history are assembled into one packet for estimator or PM review.
Defects, photos, comments, and closeout owners can become the next workflow once the RFQ chase is stable.
Human control
All supplier RFQs, subcontractor follow-ups, variation-order emails, and EOT claims route for the site or project manager to review before send.
No autonomous emails.
No silent commitments.
Defect lists cite the photo timestamp and location.
Variation orders link to the original email, site photo, or inspection note.
The AI drafts, but never decides.
Variation orders, EOT claims, and specification changes require architect, engineer, or building-certifier review.
Safety documentation and compliance reporting require site-manager and safety-officer sign-off — this workflow does not make safety calls, which is squarely the domain regulators like OSHA in the US, or a jurisdiction’s equivalent WHS regulator, hold the site responsible for.
The employee does not check a subcontractor’s license status or certify code compliance.
Contractor licensing varies by jurisdiction — California’s CSLB is one example of the kind of body that governs it — and that verification stays a manual step for the PM or estimator.
Do not start here if
A good first week looks like
Construction AI is most saleable around RFQ, RFI, change-order, and claims preparation because those workflows already have documents, due dates, approvals, and audit trails.
Claim boundary
We do not claim autonomous safety-doc generation, replacement of on-site judgment, or design and engineering authority.
Reference point
Magra positions AI around construction change orders, claims, and contract intelligence for general contractors.
Reference point
BuildFlux focuses on extracting key information from change-order documents and RFIs.
Reference point
Safe Work Australia frameworks require human accountability for safety documentation and compliance reporting; AI can prepare but cannot certify.
Mia checks the cost, risk, what needs sign-off, and whether an AI employee can clear the first version.
If this is cheaper or safer with a person, the scorecard says that.
WORK + APPROVAL SCORECARD
A short check for cost, speed, quality, risk, and the first safe version.
Work
Replies, reports, checks, handoffs, document chases, approvals, or follow-up that keeps coming back.
Cost
Staff time, manager attention, customer wait time, rework, missed follow-ups, or lost revenue.
Quality
Better drafts, faster turnaround, fewer errors, cleaner handoffs, and less chasing from managers.
Control
Customer promises, pricing, refunds, legal language, financial decisions, or anything that can damage trust.
Output: work to clear, current cost, what needs sign-off, pricing options, and the smallest useful test.
Yes — platforms like Autodesk Construction Cloud already sell submittal tracking, hazard flags, and drawing analysis.
Rebotify’s wedge is narrower: the RFQ and change-order chase that sits between email, drawings, and the PM’s review, run as a managed role rather than another platform to configure.
It can attach the right drawing revision or spec reference to a subcontractor chase once that document set is connected.
It does not interpret structural or code detail — that stays with the estimator, engineer, or architect.
It handles the admin: tracking who has priced, drafting the chase, attaching the current revision.
The PM still approves every external message and every commitment.
The project manager or estimator.
The AI assembles the packet — quote deltas, blockers, approval history — the decision is theirs.
The workflow is scoped to stay out of safety documentation, compliance reporting, and code decisions — those stay with the site manager, safety officer, and building certifier, consistent with how regulators such as OSHA hold the site accountable for safety judgment.
Scope discipline reduces the chance of the AI touching a safety call; it is not a certification that the workflow carries zero risk.
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Send the RFQ thread.
Mia maps the first subcontractor chase, attachment, due-date, and review-pack loop.