For teams sick of answering the same question twice
Custom AI assistantsfor your actual workflows.
Assistants trained on your specs, SOPs, and historical project data. They answer the questions your team keeps emailing the same two senior people about — accurately, with citations back to the source document. Live inside Teams, Slack, or a browser tab. Fixed-price, scoped before kickoff.
Twenty minutes. We'll tell you whether a bot is the right move — or whether you need an automation build instead.
What we build
Three kinds of bot, all your data.
Pick one or stack all three. Every engagement is fixed-price, scoped up front, and runs inside the systems you already pay for.
01
Spec & submittal lookup assistant
Trained on a project's specs, drawings, and approved submittals. PMs ask “what's the spec on the door hardware?” and get the answer in 20 seconds with the spec section number attached — instead of a 36-hour email round-trip with the architect.
- Trained on your project documents
- Citations back to source page + section
- Lives in Teams, Slack, or a browser tab
02
Submittal review assistant
Compares an incoming submittal against the relevant spec section and flags deltas — wrong product, wrong finish, missing test data. Your senior PE reads the flagged version, not the raw 300-page package. Reviews go from 4/day to 12/day.
- Spec-vs-submittal delta detection
- Flagged-line summary, not the whole package
- Senior reviewer signs off in five minutes
03
AI workflow integrations
Plug AI into the workflows that already run your business. PDF extraction from contracts and pay apps into Sage and Procore. Vendor compliance triage. Daily-log digesting into owner-ready weekly summaries. Built inside the systems you already pay for.
- Contract / submittal data extraction
- Vendor compliance review assistants
- Daily-log → weekly digest automation
- Owner-ready weekly summaries from your systems
What changes
Real workflow shifts — not demo-day theater.
Every bot is anchored to a specific person, a specific task, and a specific amount of time that comes back. If we can't name those before the build, we won't quote it.
Project Manager
Before: Emailing the architect for spec details, waiting 36 hours
After: Asks the assistant, gets the spec section + page number in 20 seconds
Senior PE
Before: Reviewing every line of every 300-page submittal package
After: Reads an AI-flagged delta summary — signs off in five minutes
Project Accountant
Before: Manually extracting line items from subcontract PDFs into Sage
After: AI extracts and pre-fills; accountant reviews and confirms
Owner / GC Principal
Before: Waiting for Friday status meetings to know which jobs slipped
After: Gets a Monday-morning weekly digest auto-built from the field reports
How we approach this
We start with the task, not the model.
Most AI sales decks lead with the technology. We lead with the person whose week is broken.
We pick the model later — based on your data sensitivity, your existing licensing (Microsoft, Google, Anthropic, OpenAI), and the actual job. You own the configuration, the prompts, and the data. Nothing is hosted on our side after handover.
Next Step
Twenty minutes.No AI hype.
Tell us which role on your team is drowning. We'll tell you whether a bot fixes it, or whether you need an automation build instead — even if the answer is “not yet.”
Direct Line
Salt Lake City, Utah
Serving UT · CO · ID · NV · AZ