AI Agents
Agents that capture what happened on site from the tools crews already use, and put it where the office can act on it.
Field data is where most construction software fails. Crews will not open another app, so daily logs get written from memory at night, photos sit in camera rolls, and questions for the architect take days to become RFIs.
Field agents meet crews where they already are. A foreman sends a voice note and a few photos to a WhatsApp, iMessage, or SMS number, and the agent turns them into a structured daily log on the right job. Jobsite cameras stop being a recording nobody watches and become a live safety and progress monitor.
Evertech has built jobsite video analytics and field operations platforms, so these agents come from real engineering work on cameras, mobile capture, and offline field conditions.
What the work looks like today, what changes with the agent, and where a person stays in control.
Today
Superintendents write the daily log at 9 p.m. from memory, or skip it.
With the agent
Crews send voice notes and photos to a WhatsApp, iMessage, or SMS number during the day. The agent turns them into a complete daily log with weather, manpower, work performed, deliveries, and delays, and files it on the right job.
The superintendent confirms the log in one tap.
Today
Cameras record the site, but nobody watches the footage until after an incident.
With the agent
The agent watches jobsite video for missing hard hats and high-visibility vests, people inside exclusion zones, and unsafe equipment movement, alerts the superintendent within seconds, and logs every event with a clip.
The superintendent decides what to act on.
Today
Percent complete is a guess, and the schedule is out of date the week it is published.
With the agent
The agent compares camera footage and site photos against the schedule and tells the PM which activities are ahead, behind, or not started, with the images to prove it.
The PM confirms before the schedule changes.
Today
A question from the field takes days to become a properly written RFI.
With the agent
A foreman snaps a photo and asks the question. The agent finds the relevant drawing sheet and spec section, drafts the RFI with references, and tracks it until it is answered.
The PM sends the RFI.
Anything that spends money, sends a document outside the company, or changes a record of truth waits for a named person to approve it.
Each agent keeps an audit trail: what it read, what it did, who approved it, and when. You can see exactly why an agent made a call.
Agents read and write to Procore, QuickBooks, Sage, email, WhatsApp, iMessage, SMS, and your own apps. There is no new platform for your team to learn.
When an agent is unsure, it stops and asks instead of guessing. You set the thresholds, and they tighten as trust builds.
Every client gets their own AI model and their own agents, running in their own cloud or on their own servers, limited to the actions they approve.
You get a private model deployment in your cloud account, not a shared chatbot. Your prompts and documents stay in your environment.
The agent runs in your AWS, Azure, or Google Cloud account, or on your own servers. Job and financial data never pass through a third-party app.
Each agent has its own login with the minimum permissions its job needs. If an action is not on the list, the agent cannot take it.
AWS, Microsoft Azure, and Google Cloud maintain SOC 2 and ISO 27001 certifications, so your security review starts from infrastructure your auditors already know. How we secure every agent
FAQ
Solutions
Industries
Pay applications, change orders, invoice matching, job cost alerts, and collections.
Lien waiver and COI chasing, contract review, and document intake.
Bid invite triage and subcontractor bid leveling.
Ask your business in plain English, and a Monday briefing.
A fixed-price pilot puts one agent on one workflow in two to four weeks. Tell us where your team loses the most time.
Book a discovery call