Construction
AI business systems for construction companies.
Connect project information, reduce manual coordination, and keep work moving across the office, the field, and the systems you already use.
A project update, without the chase
The problem is rarely that construction companies need one more platform. The problem is the work happening between the platforms, the inbox, the field, and the people.
Where the work gets stuck.
None of this is a technology problem on its own. It is information that lives in too many places and people spending their day moving it around.
RFIs and submittals need constant follow-up
Someone has to remember who owes what, when it was sent, and how many times it has already been asked for.
Project information is scattered
Email threads, field notes and photos, project software, and a spreadsheet somebody built three jobs ago.
Meeting commitments get lost
Owner and subcontractor commitments are made in a meeting, written somewhere, and never followed up on.
Reports are assembled by hand
Daily and weekly reports mean gathering the same information from the same people and reformatting it again.
Change information gets copied twice
A change or issue has to be entered into project software, cost tracking, and whatever the office keeps separately.
Closeout turns into a chase
Warranties, O&Ms, as-builts, and sign-offs get collected by phone calls and reminder emails at the worst possible time.
AI business systems we can build here.
Each one is built around a workflow your team already runs. They read your information, do the repetitive part, and push work forward instead of waiting to be opened.
Project Update System
Pulls field notes, photos, email, and project data into a current picture of where the job stands and what is at risk.
Project managers review an update instead of building one.
RFI & Submittal Follow-up System
Tracks open items, identifies the responsible party, and sends reminders and escalations until the item closes.
Fewer items sitting quietly past the date they were needed.
Document Intake System
Identifies, extracts, and classifies incoming documents, updates the project record, and chases what is missing.
Documents land where they belong without manual filing.
Meeting Commitment System
Turns meeting notes and transcripts into commitments with owners and dates, then follows up until they are closed.
Commitments stay visible and followed up after the meeting.
Estimating & Proposal Support System
Organizes scope, drawings, and notes into structured inputs and drafts estimate and proposal material for your review.
Estimators start from a draft instead of a blank page.
Change & Issue Tracking System
Connects issue, RFI, and change information to the related project records and raises alerts before it becomes a cost surprise.
Change information stops living in one person's inbox.
Closeout System
Tracks required documents against what has been received, chases what is missing, and assembles an organized turnover package.
Closeout starts during the job rather than after it.
Where we would start
Three places we would start on a construction business.
We pick the workflow with the most repetition and the clearest handoff, then build there first.
Open item follow-up
RFIs, submittals, and outstanding requests are a strong place to remove manual chasing, because the rules are already understood.
Project status and reporting
If a report is assembled by hand every week from the same sources, that assembly can be a system instead of an evening.
Document intake and routing
Getting incoming documents identified, filed, and connected to the right project removes friction everywhere downstream.
Why this page reads differently
Construction experience in the room.
Michael Doran, Voyant AI co-founder and Chief AI Officer, is a mechanical engineer with extensive construction experience.
That matters because these systems are not being designed by people who only know AI software. Michael understands drawings, field conditions, handoffs between office and site, working with contractors, and the volume of documentation a project produces.
It means the conversation starts with how the work actually runs, not with a demo. Systems have to meet real-world work, including the parts that are messy, late, and negotiated in person.
How we work.
Friction Audit
A short conversation about the manual work, broken handoffs, and repetitive coordination slowing the business down.
Custom system build
We build around the tools and information you already use, starting with one workflow worth fixing.
Adoption and results
We train the people who touch the workflow, watch it run in real conditions, and keep improving it.
Bring us the part of the job that should already work better.
We will look at the workflow, the systems around it, and where a custom AI system would remove the most manual coordination.