Custom software, automation and AI
Systems that run like clockwork.AI is just one of the gears.
We connect the tools your business already runs on, automate the busywork between them, and build the software you are missing. AI goes in only where it earns its place.
A 45 to 60 minute conversation. No pitch deck.
Showing examples for Construction.
More for Construction ›Find your fit
Every business runs on six functions.We build them in your terms.
Pick your industry and the work you want off your plate. Seven industries, six functions, one way of building.
Your industry
The work you want off your plate
Always-on agents
The part of your teamthat keeps working after you log off.
An agent with its own login and a defined role works the queue around the clock inside the tools you already use. It writes down everything it does, and it comes back to a person when something needs a decision.
Showing the finance queue.
Finance queue
Overnight shift
6:00 PM to 6:30 AM
- 6:04 PM
Signed in with its own login and opened the payables queue
- 7:30 PM
Matched 12 vendor bills to their purchase orders
- 9:55 PM
Filed 27 receipts to the right expense reports
- 11:42 PM
Matched 38 timesheets to job orders
- 1:15 AM
Drafted 4 payment reminders for review
For review - 2:20 AM
Held one timesheet: hours over the approved limit
Held for a person - 6:10 AM
Left a morning summary for the finance lead
Waiting for you
2 items
Decisions the agent left for a person.
4 payment reminders
Drafted from your template. Nothing has been sent.
1 timesheet over the limit
The hours are above what the job order allows.
Approvals and payments stay with people. Everything else is in the log.
An illustration with invented data.3
How the agents workIn production
Decades in business.Now it runs like clockwork.
A multi-decade South Florida construction and trades firm runs every day on a platform we built: estimating, inspections and project management on one source of truth, alongside its accounting system.1
Minutes.
New-hire onboarding.
It took about two days of admin.
One portal.
Subcontractor onboarding.
It was a spreadsheet and an email chain.
Read by AI.
Invoices and bills, assigned to the right project.
Anything uncertain goes to a person.
On the record.
Every approval.
Timestamped and tied to a role.
We run Bot Pros the same way. Invoicing and collections, outreach and marketing, expenses and books, and project status run themselves, with a person stepping in only for the judgment calls. We would not sell you a system we do not run our own company on.
Read the case studyWhy AI projects stall
If your last AI project stalled, it probably wasn’t the model.
It was the system underneath it. Three failure modes show up almost every time.
AI bolted onto broken process
An agent stapled on top of five disconnected tools inherits every inconsistency underneath it. The model is fine; the substrate is broken. No prompt fixes a data problem.
No single source of truth
When the CRM, the spreadsheet, and the inbox each tell a different story, "intelligent" automation just makes wrong decisions faster. Truth has to be engineered before it can be automated.
Nothing is auditable
A pure-AI workflow can rarely explain what it did, or why. The first time an output is wrong and nobody can trace it, trust evaporates and the pilot quietly dies.
Each one is a systems problem. Systems are fixable.
How we work
Three moves, in this order.
Unify the systems, automate the handoffs, then add AI where judgment is needed. Run it in any other order and it stalls.
Unify
One identity. One source of truth.
We connect the systems you already run (CRM, accounting, documents, comms, identity) into a single coherent layer. Every record reconciled, every user one login.
If you skip it: an AI agent inherits the mess underneath. No prompt fixes a data problem.
Automate
Deterministic workflows. Zero re-keying.
With a solid substrate, the handoffs disappear. Approvals route themselves, documents file themselves, statuses update everywhere at once, and the same input produces the same result every time.
If you skip it: your people stay the integration, re-keying between tabs.
Apply structured AI
AI where judgment is needed, checked on both sides.
Only now does AI enter, and only for the judgment calls: reading documents, drafting responses, classifying exceptions. It works inside checks on both sides, and anything it is unsure of goes to a person.
If you lead with it: you get confident answers nobody can trace.
Structured AI, in practice
Watch an invoice file itself.
The same function in any industry. AI reads each line and suggests where it belongs. Rules check the math. Anything it is unsure of goes to a person, and approvals stay with people.
Invoice 20418
Coastal Supply Co.
Received
today, 9:14 AM
Impact windows, 48 x 60
Qty 6
$2,430.00
Job 2417Oak Ave windowsAluminum flashing, 10 ft
Qty 40
$612.40
Job 2417Oak Ave windowsExterior primer, 5 gal
Qty 8
$1,040.00
Job 2431Bayview repaintDelivery and fuel surcharge
Qty 1
$730.00
Needs a personJob 2417confirmed by a person
Total $4,812.40
Read
AI pulls each line and suggests a project.
Checked
Rules confirm the total and the vendor.
Reviewed
The one line it was unsure of goes to a person.
Approved
Signed off by role, with a timestamp.
An illustration with invented data.2 Construction invoicing software ›
What you get
AI you can put in production, and stand behind.
Automation that ships, that you can trust with real decisions, and that comes with ownership in writing before work starts.
It actually ships.
We scope the first build small and real on purpose, so a production system starts doing real work early. You see working software every week.
You can trust it.
Validated inputs, schema-checked outputs, and humans on the judgment calls. When the AI is unsure, it asks. A wrong answer lands in a review queue, not in your books.
You can defend it.
Every change, human or machine, is timestamped and attributed. When someone asks “why did it do that?”, the answer is a query away.
You know who owns what.
Ownership is written down before work starts. Your data and content are always yours and leave with you on request. Software built just for you is assigned to you once paid in full, as your contract says. Our platform and reusable parts stay ours, licensed to you. Everything is documented, with a clean handover planned if we part ways.
What we build
Six kinds of system. Each says where AI fits.
Including when the honest answer is none.
Always-on AI agents
A defined role, its own login, and a queue it works around the clock.
AI’s role: Core, inside written rules, with decisions returned to a person.
Systems Unification & Integration
Your tools finally talk to each other.
AI’s role: None. This layer stays deterministic.
Workflow & Approval Automation
The busywork between them disappears.
AI’s role: Minimal. Rules decide; AI only drafts or summarizes.
Document Intelligence
Your invoices and forms read themselves.
AI’s role: Core, with checks on both sides and a review queue.
Custom Portals & Platforms
The software your operation needs, built to fit.
AI’s role: Assistants and summaries, only where they help.
Reporting & Visibility
Numbers that agree, and that you can trace.
AI’s role: Optional plain-language summaries on exact figures.
Across seven industries
Construction, professional services, staffing, healthcare admin, financial services, property management and field services.
See the industriesCommon questions.
It depends entirely on what you run today and what we are building, so any number on a webpage would be invented. We scope the first production slice deliberately small and real, and you get a written, fixed-scope proposal with the exact figure after the consultation and systems map, before you commit to anything. We would rather give you an honest number for your situation than anchor you to a fake one.
The first production slice typically ships in weeks, not quarters, because we scope it deliberately small and real. What we will not do is promise a date before we have seen your systems. That is what the consultation is for.
Best-in-class commercial models where they earn their place. We have no "proprietary AI," and we would distrust anyone who claims theirs. Our value is the system around the model: validated inputs, schema-checked outputs, confidence thresholds, and human review queues.
It gets caught. That is the design. Every AI step is checked on both sides: clean data going in, validation and business-rule checks coming out, and anything the system is not sure about lands in a human review queue. Wrong answers route to people; they never flow silently into your books.
Straight answer: we are not SOC 2 certified. That audit is on our roadmap, and we will not claim it until it is done. We sign BAAs for health-data work, and we will walk you through our actual architecture and controls, including what is still on our roadmap, so you can assess it yourself.
Yes. Our case studies describe systems running in production right now. Client names are shared only with the client’s permission, but under a mutual NDA we will walk you through live architecture, approval workflows, and the actual running code during the consultation.
Fit
Is this for you?
We are a done-for-you firm. We build the systems your business runs on, and we run them for you.
This is for you if
- You want AI automation and the systems behind it built, integrated, and running for you, not another tool to learn.
- Your team is buried in manual work across systems that do not talk, and you want it fixed.
- You would rather hire the firm that builds it and runs it than spend months figuring it out yourself.
This is not for you if
- You want to wire up automations yourself with ChatGPT and a stack of apps. Good path, just not what we do.
- You are shopping for a course or a DIY toolkit.
Bring us the mess.
In 45 to 60 minutes we map the systems you run and the handoffs that hurt, and tell you candidly whether we are the right fit, including when we are not.
No obligation, and a candid fit assessment.
- Outcomes measured at one construction and trades client running on a platform we built. Client names are shared only with the client’s permission. The architecture and running system can be shown on a call.
- The invoice demo’s construction view mirrors the invoice workflow running at that client. The other views show the same workflow in other industries. Every vendor, job, amount and time shown is invented.
- The agent shift is an illustration of how an always-on agent reports its work. The entries and times are invented, and the buttons are for show.