AI Agents · October 22, 2026 · 4 min read
AI Agents for Construction Companies: RFIs, Subs, and Change Orders
Construction runs on paperwork that moves between trailer and field. Here is how construction teams put an AI agent on RFIs, subs, and change orders, with a person on anything that costs money.
By The Kolo Team, Kolo AI
The build happens in the field, the schedule is won in the trailer
Concrete gets poured, steel gets set, and drywall goes up out on the site. The schedule, though, lives in the back-and-forth that never stops: an RFI waiting on the architect, a submittal stuck in review, a subcontractor whose insurance certificate lapsed last week, a change order that has to be priced and signed before the crew can proceed. None of that is building. All of it decides whether the building happens on time.
That coordination load is what an AI agent is built to carry. With Kolo, every Team Member gets their own AI employee inside one shared, team-first workspace, so a project manager, an estimator, and a superintendent each have help on their own work while the company keeps a single record of what was logged, sent, priced, and approved across every job.
Keep RFIs and submittals from becoming delay claims
An open question is cheap on day one and expensive on day thirty. The agent logs each RFI as it comes in, routes it to the responsible party, and tracks the clock against your required turnaround, nudging the architect or engineer before an answer goes late. It does the same for submittals: it keeps the log current, flags what is sitting in review too long, and tells you which approvals are gating the next phase of work. Nobody has to babysit a spreadsheet to know what is overdue, and an open item surfaces while there is still time to fix it rather than in a delay claim later.
Chase the subs so the PM does not have to
Subcontractor coordination is persistence work, and persistence is exactly where people run out of hours. Missing bids, expired insurance and lien waivers, unsigned contracts, crews that need a confirmed start date: the agent works each open item on a steady cadence, keeps a live status by sub and by trade, and escalates to the PM only when someone goes truly quiet. When a certificate is about to expire, the agent flags it before the sub sets foot on site, so a compliance gap does not become a stop-work order.
Price and package change orders, with a person on the number
Change orders are where margin leaks out of a job. The agent assembles the package: it pulls the scope, drafts the cost breakdown from the inputs you give it, and prepares the document for the owner or the general contractor. Because a change order commits money and sets an expectation with a client, it does not go out on the agent's say-so. The agent proposes, you review the number and the language, and only after you approve does it send and then track the signature. The same holds for subcontractor payment applications and vendor invoices: anything that moves money stays behind a person's sign-off, and the highest-risk approvals can require a second set of eyes.
Daily logs and owner updates that start themselves
The superintendent's evening paperwork is the task most likely to get skipped when a day runs long. The agent turns the field notes, photos, and timesheets your crew already captures into a clean daily log, then rolls the week into an owner update written in your voice and queued for approval. Field reporting keeps flowing the way it does now; what changes is that writing it up shrinks to a quick review, and the owner stops calling for status because the status arrives first.
A person on the actions that commit the company
The control model is the point, especially on a job site where a message to an owner or a sub carries weight. Kolo rates every action low, medium, or high risk and pauses the higher-risk ones for a person to approve, while routine tracking and internal drafts simply happen. An outbound message, a change order, a payment, a contract sent for signature: those wait. Reading the submittal log or drafting an internal summary does not. You are not signing off on every step, and you are not handing an unsupervised bot your owner relationships and your checkbook. For the full picture of how that gating works, see our guide to risk-tiered approvals.
Everything the agent does lands in a full, exportable Audit Trail, filterable by person and action, so months later a question about who was told what and when takes a minute to answer instead of a document hunt. Pair that with model choice and monthly spending limits per person or group, and the operation stays both accountable and predictable.
Start on one job, keep approvals on
You do not have to wire up the whole company at once. Pick one active project, point the agent at submittal tracking and subcontractor follow-up for a month, and keep approvals on everything. Watch two numbers: how many open items are outstanding at the end of each week, and what time your superintendent gets to leave. Both tend to move quickly, and both are the kind of proof a skeptical ops meeting respects. From there, widen into change orders, daily logs, and billing.
When a PM builds a submittal-tracking routine or a closeout checklist that works, that process becomes a Skill: a durable company asset shared across the team, so it stays with the company when a person moves on and the next hire starts with it already running. For a narrower take on bids, estimating, and field reporting, our earlier piece on AI agents on the job site still holds up as a companion.
Your crews build. The agent keeps the paper moving between the trailer and the field. To see it running on one of your jobs, Book a Demo.
Frequently asked questions
What construction work can an AI agent actually take on?
The paperwork and follow-up that slip a schedule: logging and routing RFIs, chasing submittals and insurance certificates, coordinating subcontractors, assembling change-order packages, and turning field notes into daily logs and owner updates. Anything that commits money or goes to an owner or a sub waits for a person to approve, while routine tracking keeps moving.
Our superintendents are on the job site, not at a desk. Does that work?
Yes. Each person reaches their Kolo over a web workspace, a mobile app, Slack, and SMS, so a PM can approve a change-order submission by text from the field and a superintendent can send the day's log from the trailer without logging into anything.
Does Kolo connect to the systems we already run?
Kolo connects to the tools you already use, with 150 plus integrations, including Google Calendar for scheduling and a native QuickBooks connection for billing and job costing. Connecting a construction-management platform depends on what it exposes, so confirm your specific system with the Kolo team. Your records stay where they are; the agent reads and acts through them, and you decide what it can touch.
How do we keep an agent from sending a sub or an owner something we did not mean to send?
Kolo scores each action low, medium, or high risk and pauses the higher-risk ones for sign-off before they go out. You can keep approvals on every outbound message, change order, and payment for as long as you want, and the most consequential actions can require a second approver. Each action, approved or declined, lands in an exportable Audit Trail you can filter by person and action.