Margins get made in precon and lost in paperwork. We show construction firms where AI genuinely moves the needle — estimating throughput, document search, the RFI grind — then our engineers build it into the tools your jobs already run on. Working software, not a binder of recommendations.
Every project scatters its truth across estimating spreadsheets, the PM platform, email threads, and a super's notebook. Estimators pass on winnable pursuits for lack of hours; the office re-answers questions the documents already answer; RFIs sit while the schedule slips. Point-solution vendors sell software for one slice — nobody owns the outcome.
Our approach: rank the opportunities by payback, then build the top of the list into your actual stack.
Construction AI Consulting
The deliverable that matters is a decision-ready package, not a deck: which workflows to automate in what order, what data and permissions each one needs, how it plugs into the platforms you already run, and a first build scoped to the dollar. Strong openers we see repeatedly: takeoff acceleration, bid-package assembly, RFI drafting from field notes, spec and drawing Q&A, and daily-report rollups.
Where AI Helps First
Compress takeoff and proposal assembly so the same estimating team can chase more work without the all-nighters before bid day.
Let superintendents and PMs ask the current set — plans, specs, submittals — a question and get an answer, instead of digging folders for the latest revision.
Draft RFIs from field notes, summarize submittal packages, and keep the three-week lookahead synced between the trailer and the main office.
What We Do
A sequenced plan tying AI to the numbers a contractor cares about — bid volume, estimating turnaround, RFI cycle time — with the payback math and the risks laid out before anything gets built.
We walk your operation from precon through closeout, flag the workflows where automation pays fastest, and hand you a ranked build list your PMs and estimators helped shape.
The roadmap becomes working software: takeoff and bid-assembly support, plan and spec search, RFI and submittal drafting, field-report summarization — wired into your project stack and left in your hands.
Owner contracts, unit costs, and bid history are competitive assets. We deploy models inside boundaries your IT sets — your data sources, your access rules, your governance — so nothing sensitive leaves your control.
Why HummingAgent
Before HummingAgent, our founding team shipped production AI inside Comcast Labs — Fortune 50 scale, systems still running today. That discipline carries to your operation: software that survives contact with a jobsite, not a strategy PDF that dies in a drawer.
See customer resultsFAQ
For a contractor, the job is connecting AI to margin: faster takeoffs and bid assembly, plans and specs you can query instead of search, RFIs and submittals that draft themselves from field input, and daily reports that summarize instead of pile up. HummingAgent does the analysis and then writes the code — one firm, both halves.
Three places, in typical order of payback: estimating (each hour saved per bid compounds across a year of pursuits), document intelligence (the version-hunting tax on every project), and the RFI/submittal/schedule loop that decides whether coordination problems surface early or expensively. Field-report rollups and safety-documentation prep follow close behind.
Bid history, unit pricing, and owner agreements never leave your perimeter. Deployments run on infrastructure your IT approves, pull only from data sources you whitelist, and inherit your existing access controls — your subcontractor rates don't end up training someone else's model.
We build on the platforms your projects already live in — Procore, Autodesk Build, Bluebeam, your estimating suite, your ERP — rather than introducing yet another portal your supers will ignore.
The audit is a fixed-scope engagement priced after an initial discovery conversation; implementation gets bid like any project — defined scope, defined price. Our pricing guide publishes the typical ranges.
First value usually arrives with the first workflow, and how fast that lands depends on which one we pick, how clean the project data is, and how quickly your team can review. We deliberately start narrow — one workflow, proven, then expand.
Bring one painful workflow to the call — bid prep, RFIs, whatever hurts most — and we'll sketch how AI would handle it inside your current tools, with the savings math attached.
Plan your AI workflow