Workflow Sprint / Step 01 of 03
See the fix work on your own data. Then we build it.
Bring us the workflow that's killing your team. We map it, build a working prototype on sample data from your own projects, and scope the build. Then Implementation turns that prototype into the tool your team actually uses.
You'll see a working prototype on your own data before the full build starts.
What is the Workflow Sprint?
The Workflow Sprint is FieldProof's paid first step for one construction workflow: investigated, prototyped, and scoped for implementation. It ends with three things. A working prototype on your sample data. A map of how the workflow runs today. A scope for Implementation to build from.
FieldProof is the AI team that designs, builds, and manages workflow fixes for commercial construction companies. Founded by Tyler Campbell. New fixes start with a Sprint.
Any workflow your team repeats, every week, every month or on every job, is fair game. Pay apps. Submittal logs. T&M tickets. Closeout docs. We don't have a version of any of them sitting on a shelf. Every fix is built around how your team actually does the work.
At a glance
- Engagement
- Paid, scoped, with its own deliverables
- Scope
- One workflow
- Built on
- Your sample data
- What's real
- Named plainly. Working parts and simulated parts, called out
- Next step
- Implementation, built from the scope
- We sell
- No software. No kickbacks.
Is one workflow eating your team's week?
You probably already know which one.
It's the pay app that gets typed into two systems. The submittal log somebody updates by hand before every OAC meeting. The T&M tickets that ride around in a truck until month end. The work keeps coming, and the options start to look like two bad ones. Hire another person. Or ask the people you have to stay later.
And if you've sat through an AI demo that looked great and never touched your real work, you're right to be skeptical. Nobody should bet a build on a demo.
FieldProof's founder, Tyler Campbell, spent fifteen years in construction before FieldProof. We sell no software and take no kickbacks, so the only thing we're selling is the fix.
When Tyler polled his LinkedIn audience (n=65) on the biggest barrier to fixing their tech stack, 37% said no time to fix it. Another 31% said ROI was hard to prove. The Sprint is built to answer both.
What will the finished thing look like?
You'll use it before we build it. The Sprint ends with a working prototype running on sample data from your own projects.
We walk you through it first. Then the people who do the work put it through real scenarios from their week. We tell you which parts work and which parts are simulated, so nobody mistakes a prototype for the finished tool. Then we sit down together and decide what to change. Those changes go straight into the scope for Implementation.
What you get
- A working prototype
- Sample data from your own projects, so it looks like your work
- A guided walkthrough
- Test scenarios from your team's real week
- A feedback session
- A plain list of what works and what's simulated
What does a Workflow Sprint deliver?
Each one is worth having on its own. Together, they're where the build starts.
A working prototype
The prototype shows the fix doing the work.
A map of the workflow
The workflow map shows how the work moves today, who touches it, and where it stalls.
A scope for Implementation
The scope lays out what Implementation will build, which of your systems it connects to, and the order to build it in.
When the Sprint ends, Implementation picks up from the scope. Nobody re-learns your workflow from scratch.
Where does a Workflow Sprint start?
Wherever your workflow is right now. Four common starting points.
We're not sure where our biggest opportunity is.
Then the Sprint starts by finding it. We run a working session with your team, list the workflows in the part of the business you pick, such as estimating, operations, accounting or project controls, and rank them by impact and by how hard each one is to fix. You get a recommendation for the first one worth doing.
The workflow is too complex.
Then we map all of it and pick a first piece worth fixing. You get an end-to-end workflow map, the dependencies and exceptions that make it messy, the phases to fix it in, and what success looks like for phase one.
The workflow runs through another company too.
Then we bring their people in, with your go-ahead. Pay apps, change orders and submittals rarely stop at your own door. A sub's pay app rolls into the GC's pay app to the owner. A scheduling firm's update ends up in the GC's monthly report to the owner. We run a joint session with the right people from each company. You get one shared workflow map and a checklist of who owns each handoff.
Our people already built things with AI.
Good. We start with what they made. Each person who built something walks us through it. Then we decide with them what to keep, what to improve, and what to replace. Useful work stays, and nobody pays to rebuild it.
Will our team actually use it?
They'll have shaped it before it's built.
We interview the people who do the work today, in the office and in the field. We put the prototype in their hands and write down what they say. Every change their feedback causes gets logged, so they can see their own input in what Implementation builds.
How much of our time will this take?
You show up and answer questions. We run the rest.
We schedule the interviews and send the agenda ahead. We write the requirements down so nobody has to remember them. When we need decisions, they come in one list, not a pile of emails. Before kickoff, you get a schedule of who we need and when.
How do we know it's worth building?
You'll see the math first.
We measure the workflow as it runs today: how often it happens, how long it takes, and who does it. The benefit goes into a spreadsheet with every assumption on the page, so your controller can check each input. Before Implementation starts, we agree on what success means and how it gets measured. Implementation is held to it.
What will IT need to review and approve?
Your IT people get their own session early in the Sprint, whether that's an in-house team or your outside IT provider. It happens before we touch any of your systems.
- An IT discovery session with your team.
- A first-draft architecture and integration brief. That's a short document showing what connects to what, where the data lives, and how it's secured.
- A security requirements checklist.
- Technical review checkpoints you agree to up front.
- A list of every system we'd touch. Each one gets an access request that says what it's for, what permission it needs, and who on your side can approve it.
During the Sprint, before the build starts, you get it in writing. Who owns the data, where it's stored, who can access it, how you'd export it, and who owns the code. That includes the sample data for the prototype. You choose what to send, and IT sees how it's handled before anything leaves your systems.
From Sprint to running
The Sprint is the first step. The fix running in your team's real work is the finish line. One team carries it the whole way.
Workflow Sprint
One workflow investigated, prototyped, and scoped for implementation. You start here.
Implementation
Next, the prototype becomes the real tool. We build it from the Sprint's scope, connect it to your systems, test it, and get your team using it. If you'd rather run it yourselves, it ends with a handoff to your people.
See ImplementationManagement
Then we keep it running. Hosting, monitoring, maintenance, bug fixes, and defined support.
See Management
Nobody hands you a plan and leaves.
Already built something?
We can get it running across the company. If someone on your team built a tool that works for them, we can start there instead of with a Sprint. We review the code, the permissions and the security. Then we scope what it takes to deploy it and get the rest of the team on it.
Questions about the Workflow Sprint
What is a Workflow Sprint?
A Workflow Sprint is FieldProof's paid first step for fixing one construction workflow. FieldProof investigates the workflow, builds a working prototype on your sample data, and scopes what Implementation will build. You're told plainly which parts of the prototype work and which are simulated. Implementation then starts from that scope.
What happens after the Workflow Sprint?
Implementation. The Sprint's scope is written for the build to start from, so nobody re-learns your workflow. FieldProof builds the tool, connects it to your systems, tests it, and gets your team using it. The Sprint is also a standalone engagement with its own deliverables: the prototype, the workflow map and the scope.
When do we find out who owns the data and the code?
During the Sprint, in writing, before the build starts. That covers who owns the data, where it's stored, who can access it, how you'd export it, and who owns the code.
Is AI the right fix for this workflow?
Sometimes it isn't, and we'll tell you. The Sprint looks at the workflow task by task and compares AI, ordinary automation, and a simple process change. Where AI fits, it drafts, reads, checks and finds. People decide, price, sign and send, and the rules for human approval get written down.
If we wait, won't AI be able to build this for us?
Maybe some of it, someday. The Sprint puts numbers on that question so you're not guessing. You get an estimate of what waiting costs, a side-by-side of building now, buying a tool or waiting, a look at what today's AI can already do on your workflow, and a phased plan if you'd rather spend in steps.
I'm a heavy AI user and already built tools for this. Do I need you?
Maybe not, and the Sprint will tell you. We review what you built and how much of your time it takes to keep running. We look for the handoffs that are still manual and the tasks that only work because you're there. Then we tell you straight whether there's a gap worth fixing.
Which of our systems will you need access to?
Only the ones the workflow touches, and you approve each one. You get a list of every system involved and an access request for each that explains what it's for and what permission it needs. We also name who on your side is authorized to approve it.
Do you only build software?
No. Most fixes mix technology with a change in how the work moves and some training for the people who do it. The Sprint's scope covers what to build or connect, which steps in the workflow change, who owns the tool day to day, and who needs training.
Step 01 / One workflow
Bring us the workflow.
Tell us what the workflow is, who does it, and roughly how many hours it takes in a week or a month. We'll tell you straight whether a Sprint is the right first step. If it is, the Sprint gets the fix working on your data. Implementation gets it working on your live projects. Your team handles more work without adding headcount.
You'll see a working prototype on your own data before the full build starts.