It starts with your own data
Your jobs, your customers, your equipment, your history. The raw material that already lives in your business, gathered into one place instead of scattered across spreadsheets and inboxes.
Customer Experience Systems · Mobile
Better experiences where the work happens.
Native iOS and Android apps for crews and field teams, with AI in the app: snap the nameplate, it reads and structures it, the quote drafts itself, the crew taps once.
Built on your real jobs, your crew, and your data, so the AI running inside it is actually useful where the work happens.
Native iOS & AndroidField-readyBuilt on your dataOwned by you
The intelligence layer, in hand
It reads the world, and writes the record.
Point the phone at a nameplate. The intelligence layer reads it, structures it, and drafts the next step, before the crew leaves the site.
- 01 Capture
Snap the nameplate, the form, the receipt.
- 02 Understand
The AI layer reads it and structures it, right in the app.
- 03 Act
The quote drafts itself. The crew taps once.
What the intelligence layer is
Your own data, made intelligent for your business alone.
The intelligence layer takes the data your business already produces and turns it into something that reasons about your work. This is a layer built on your own data, not a generic model bolted on, so it is useful to you in a way it could be to no one else.
The layer that makes it intelligent
On top of that data sits a layer that reads, structures, and reasons over it. Trained on how your business works, so it is useful to you in a way it could never be to anyone else.
It reads what people type and photograph
A crew snaps a photo of a nameplate, a customer describes a problem in their own words, and the app turns it into structured, usable data on the spot.
It does the next step for them
Drafts the quote, fills the form, flags the follow-up, suggests the part. The intelligence works underneath the buttons, so the person taps less and finishes more.
Your data, made intelligent. The systems that do it, built here
Why it goes mobile
The command center goes where the work is.
A dashboard on a wall only helps at the wall. On a phone, the whole record, and the intelligence reading it, travels with the person doing the job. The work moves; the data's intelligence moves with it.
On site
In a gloved hand, in bright sun, on a spotty signal. The full record is there at the panel, the bench, the roof, not waiting back at a desk.
In the field
Between stops, in the truck, at the gate. Capture the job, read the equipment, and write most of the paperwork before the next call.
In front of the customer
Pull up the history, draft the quote, and answer the question while you are standing there. The business speaks with one voice, on the spot.
This looks like you
The same app, three jobs.
Who holds the phone changes what the app does. The intelligence layer underneath stays the same. These are archetypes, not clients.
The paperwork done before the next stop
The tech photographs the nameplate, the app reads it and fills the job, the quote drafts itself. Sign-offs, photos, and notes are captured at the panel, not retyped at a desk that night.
The booking and the history in their hand
A branded app the customer opens instead of calling. They book, see their history, approve a quote, and get the reminder, while the intelligence layer keeps the record current on your side.
The same record, moving with the work
What the crew captures in the field is the record the office sees, live. The intelligence reads it on the way in, no re-keying and no end-of-day pile, so the next step is teed up before anyone touches it.
What changes
What the field gets back by Friday.
Fewer taps to finish a job
The app reads what people photograph and type, structures it, and drafts the next step. The person confirms instead of types.
Less paperwork after hours
Most of the record is written at the site. The night shift of catching up on data entry shrinks.
Quotes out the same day
The draft is ready before the crew leaves. The follow-up that used to wait a day goes out on the spot.
One record everyone trusts
Field and office work from the same live data, not two copies that drift apart by Friday.
More in Operational Systems
The software your AI runs inside.
Operational Systems overview → · Wondering why a subscription is not enough? Why Engineered →
The operating system these build toward
A mobile app is how a connected operating system reaches the field.
Read the full guideStart with discovery
Where is your business losing value?
Tell us what is quietly costing you hours or revenue. The Blueprint maps where value is leaking, sets a real target, quotes the build, and the same team engineers it.
$2,500, credited · One team, plan to launch
Before you ask
The questions worth answering.
iOS and Android, or just one?
Both, from one codebase. The app ships to iPhone and Android with one build and one team maintaining it. Web too, if the work calls for it.
Does it work offline?
Yes, where the work needs it. The app captures the job, reads the equipment, and writes the record on a dead signal, then syncs when it is back. The intelligence is built to live where the work happens.
Where does the data, and its intelligence, live?
On infrastructure you own, hosted in Canada. The intelligence layer is built on your own data, for your business alone. What reaches a model and what stays local is decided in writing in the Blueprint, before any code.
Do I even need an app, or would a website do?
If the work happens on a desk, a web command center is often the right call, and we will say so. An app earns its place when the work is in a gloved hand, in the field, or in front of a customer, and the phone is already in the pocket.
Do I have to build the data layer first?
No. The raw material already lives in your business, scattered across spreadsheets and inboxes. Part of the build is gathering it into one place and building the layer that makes it intelligent. The Blueprint defines what is there and what to do with it.
What does it cost?
Scoped in the Blueprint™, then quoted as a fixed number for the build. The Blueprint is $2,500, credited in full toward the build if it proceeds. One build cost across both platforms, no hourly billing.
Can we just give everyone a ChatGPT or Claude subscription?
For individual drafting, summarizing, and learning, yes, and you should. A subscription is a general-purpose tool a person opens and prompts. It has no standing connection to your systems, no memory of how your business runs, and it only acts when someone drives it. That is a productivity tool for a person, not an AI system for a business. When you need AI embedded in a workflow, governed, and reliable enough to depend on, you have outgrown the subscription.
When does API-based AI make more sense than consumer apps?
When the work needs to run inside your software, not at a keyboard. APIs let you embed models in the tools you already use, choose the model per task (Claude, GPT-class, Gemini, or open-source), set data-retention terms in writing, and pay per token at volume instead of stacking $20–100/month seats across a team. That is the path from "everyone has a login" to a system the business runs on. The Blueprint defines whether you are there yet.