AI-powered workflow automation for owner-led businesses
AI that keeps your work moving.
Fieldwright automates the repetitive work that slows your business down. We map how work moves and where it stalls, then set up AI that answers your customers, follows up for you, and handles the busywork, inside the tools you already use.
Before we automate anything, we map how your work runs today: every step, handoff, and wait. Then we redraw it with the fixes in place, showing what AI handles and where your team decides. Here are four workflows we often set up.
Starts whenCall comes in after hours7:12 p.m., office closed
AI does itAnswers and asks your questionsAddress, issue, urgency
Urgent
Your teamOn-call tech takes the callLive transfer
Routine
BookedBooks the first open slotYour calendar
SentSummary to your teamText and job note
SentConfirmation to the customerBy text
Site visit to signed estimate
TodayNotes re-typed, and nobody follows up
With itDrafted in minutes, followed up on schedule
Starts whenTech uploads notes and photosFrom the job site
AI does itDrafts the estimateIn your template
Your teamOffice reviews and sends itNothing goes out unseen
SentEstimate goes to the customerWith a link to sign
Signed
UpdatedJob goes on the scheduleCrew and date set
No reply
AI does itFollows up on day 2 and day 5In their language
Finished job to paid invoice
TodayAbout 6 days from finished job to invoice
With itInvoices out the same day
Starts whenJob marked completeFrom the field app
AI does itChecks the job fileApprovals and forms
Complete
PreparedInvoice draftedIn your accounting app
Your teamBilling approvesOne click
SentInvoice sent with remindersPayment link included
Missing
FlaggedAdded to the morning listWith what is missing
Your teamOffice manager follows upThen billing continues
Paid invoice to five-star review
TodayReviews only when someone remembers
With itEvery customer asked at the right time
Starts whenInvoice is paidFrom accounting
AI does itChecks how the job wentNotes and callbacks
SentReview request by textIn their language
Happy
SentReview linkGoogle or Yelp
SentReferral askTracked to the customer
Unhappy
Your teamOwner gets a heads-upBefore any review
Starts the workflowAI does the workYour team decidesSent or updatedHandoff
Examples with made-up timings. We map your workflows first, and you keep the maps whether or not we build anything.
What we do
Map it. Build it. Keep it running.
Fieldwright is your AI partner from the first conversation to everyday use. We help in three ways, and you can start with any of them.
1
Map the work and plan where AI fits
We start by mapping how your work actually moves, step by step and handoff by handoff, and putting a cost on every place it stalls. Then we rank the opportunities and write a practical roadmap with clear owners and success measures. As your ongoing AI partner, we keep the map and the plan current.
We set up AI in two places: the work your customers see, and the work that happens behind the scenes. Everything connects to the tools you already use, and a person approves what matters.
Here is the kind of system we would set up for a home services company. Each morning it checks finished jobs against what billing needs, finds what is missing, and gives the office manager a short list.
This example uses an HVAC company and made-up data. The same approach works in any business that runs on documents, approvals, and handoffs. It is a proposed workflow, not a customer case study.
Step 1 · Input
The customer approves by email.
“Yes, approved. Go ahead with the new thermostat.” The approval sits in one technician’s inbox.
Step 2 · Issue
Billing still shows it unapproved.
The job is marked complete, but the invoice is on hold because change order 3 has no approval on file.
Step 3 · Approval
A person decides.
The office manager sees the customer’s reply, the job it belongs to, and a proposed update.
Step 4 · Update
The invoice moves.
The change order is marked approved with the email attached, and the invoice is ready to send.
Ready to invoice?
Tuesday, Oct 13 · example
Job 4471 · Rodríguez residence
Customer approved change order 3 by email. Billing still shows it pending.
Update proposed
Job 4480 · Harbor Point office
Marked complete. No signed completion form found in the job file.
Confirmation not found
Job 4486 · Lakeside
Final permit inspection was due Oct 14. The task is still open and unassigned.
Task not completed
Each item links to the job and the supporting document.
What we’d build
Illustrative
The constraint
Finished jobs wait days to be invoiced because approvals and paperwork are scattered across phones and inboxes.
The system
An invoicing and payment follow-up system
Set up with
Your job records, what billing needs for each job, your accounting software, and how customers approve work.
What we’d measure
Days from finished job to invoice sent, jobs held for missing paperwork, and office hours spent chasing.
Not found is different from not done. “Confirmation not found” means the system found no proof in the places it can see, so someone checks before chasing. “Task not completed” means the record itself shows it is still open.
Why most AI projects stall
The tool is rarely the problem.
Most AI projects in small and mid-sized businesses stall for the same few reasons. Each part of how we work is there to prevent one of them.
What usually goes wrongWhat we do instead
A tool gets bought before anyone names the problem.
We map the workflow first and name the one stall costing you the most before choosing any tool.
The easy task gets automated. The expensive one stays manual.
We measure what each task costs in time, errors, and delayed payment, start at the top, and report against that baseline.
AI changes records and nobody checks.
It prepares the change, shows the source, and waits. People approve anything with consequences.
The team was never trained, so they work around it.
We train the people who use it, and help leadership explain why it’s coming and what it changes for them.
Each tool is built on its own, so nothing connects.
Every role uses the same data, access, and approval setup, so the second one builds on the first.
How it works
Start with one workflow. Add the next when the first one works.
Software alone rarely fixes a workflow. The trouble is in the details: the exception nobody wrote down, the field that means something different in each office, the connection that breaks after an update. We work through those details with your team, one workflow at a time.
Step 1
Map
We sit with the people who do the work, trace one workflow from start to finish, and mark every handoff, wait, and workaround. Then we measure what each stall costs.
You get
A map of how the work runs today
The cost of each stall
A baseline to measure against
Step 2
Design
Before choosing tools, we redraw the map with the fixes in place and agree on what the first system does: what it reads, what it checks, what it prepares or sends, and where a person decides.
You get
A future-state map your team signs off on
Approval rules
A list of the access it needs
Step 3
Build and prove it
We build it inside your tools, test it against real examples from your business, and run it alongside your team until the results hold up against the baseline.
You get
A working system inside your tools
Results measured against the baseline
A short written guide
Step 4
Train, run, and expand
We train the people who use it, manage it month to month, and add the next workflow on the same foundation when you’re ready.
You get
Hands-on training for your team
Monitoring and upkeep
A regular review with leadership
Scope and pricing depend on your operation. We walk through both on the first call.
First step
Start with a Workflow Map.
Most engagements start the same way. We map one important workflow with your team, put a cost on each place it stalls, and show you what we would fix first. Then you decide whether to build.
A map of the same workflow with the fixes in place
A ranked list of what to fix first
A written proposal for the first build
We need from you
A few working sessions with the people who do the work
A look at your tools, by screen share or view-only access
A handful of real recent jobs or files to trace
About
You work directly with the person who builds it.
I’m Brendon, and I started Fieldwright to help owner-led businesses keep their work moving.
Fieldwright is a small, hands-on practice. The person who maps your workflow is the person who builds the system and keeps it running, so nothing gets lost in a handoff and you always know who to call.
I work with your leadership as a fractional partner, build each system with your team, and stay responsible for it month to month.
Questions
What owners usually ask.
Don’t see your question? Ask it on the first call.
No. We build inside the tools you already use, like your accounting app, calendar, CRM, and inbox. If a tool can’t connect at all, we tell you during the Workflow Map, before you commit to a build.
What if the AI gets something wrong?
Anything with consequences, like changing a record, sending an invoice, or making a promise to a customer, is prepared by AI and approved by a person. The AI shows where its information came from, so the check is quick. We monitor everything we build and fix problems as they come up.
How much does it cost?
It depends on the workflow, your tools, and how much of it you want managed. After the first call, you get a written proposal with a fixed scope and price. Nothing starts until you approve it.
How long does it take?
The Workflow Map comes first, and it gives us a realistic timeline for the build. You get that timeline in writing with the proposal. We start with one workflow, so you see results before anything else is added.
Do we need technical people on our team?
No. We need the people who do the work today, for a few working sessions. We handle the setup, the connections, and the upkeep.
Is our customer data safe?
We only connect to what a workflow needs, with access you approve and can remove at any time. We document what each system can see and do. Your data is not used to train AI models.
Who owns what you build?
You do. Wherever possible, accounts are set up in your company’s name, and you keep the maps, documents, and setup notes.
What happens if we stop the monthly service?
What we built keeps running in your accounts. You stop getting monitoring, fixes, and improvements, and we hand over the documentation so your team or another provider can take it from there.
Does it work in other languages?
Yes. What we build can read messages and reply in your customer’s language, including Spanish, and summarize them for your team. A person still approves what goes out.
Will customers know they are talking to AI?
Yes. Callers and texters are told they are speaking with an AI assistant, and they can always reach a person.
Do you work remotely?
Yes. Most of the work happens by video call and screen share. We’re based in Florida and can meet in person when that helps.
Map · Where every project starts
See how the work really moves before you change it.
We sit with the people who do the work, trace one workflow from the first request to the final payment, and draw it: every step, handoff, tool, and wait. Then we put a cost on each place it stalls and show how the same workflow would run with the fixes in place. We call it the Workflow Map.
Phone, shared inbox, a spreadsheet, and the accounting software
Re-typed
Visit notes, twice: into the estimate, then into the job record
Longest wait
Open estimates sit about 3 days before anyone follows up
First fix
Estimate follow-up. Owner: sales lead.
Example with made-up data
How it fits
The map comes first. Everything else builds on it.
Mapping can stand on its own, or it can be the first step of a build. Scope and pricing depend on your business. We walk through both on the first call.
An AI receptionist answers your phone and text messages when your team can’t. It explains your services, collects the caller’s details, asks the questions you would ask, and books an appointment or transfers the call to a person. Afterward, your team gets a short written summary.
Think of it as a part-time head of AI for your business. We meet with you and your leadership on a regular schedule, look at how the business really runs, find the bottlenecks that cost the most, and turn them into a practical plan. Then we start with one valuable workflow and expand from there.
An AI agent is software that can read, check, and prepare work the way a trained assistant would. We build agents around how your company actually works: preparing documents, onboarding customers, building reports, routing tasks, and passing work between departments. They connect to the software you already use, and a person reviews anything important.
Get paid for finished work without chasing anyone.
When a job is marked complete and approved, the system creates the invoice, sends it with a payment link, and sends polite reminders if it isn’t paid. Your accounting and job systems stay connected, so anyone on your team can see what’s been billed, what’s paid, and what needs a personal call.
Invoices go out days late, reminders depend on someone remembering, and nobody is sure which customers still owe money.
With Fieldwright
The invoice goes out the day the job is approved, with a payment link. Reminders go out on schedule, and your office sees one list of who still owes what.
Illustrative example.
The workflow
How it flows.
From a finished job to a paid invoice. If anything is missing, it goes on a list for a person instead of stalling quietly.
AI is only as good as the information it has. We organize your procedures, service details, pricing rules, and communication guidelines into one maintained source of truth. We also connect your tools consistently, so every new automation builds on the same accurate information instead of starting over.
Reply to every lead while they’re still interested.
When someone fills out your website form, responds to an ad, texts you, or calls and hangs up, this system replies within minutes. It asks a few qualifying questions, offers appointment times, updates your customer records, and alerts a salesperson when someone needs a personal touch.
Automations need care. Tools update, businesses change, and the first version is never the best one. We monitor everything we build, fix problems, adjust messages and timing based on real results, and review performance with you on a regular schedule. As your business changes, the system grows with it.
Turn your notes into a proposal, then follow up until you hear back.
After a site visit, you type or dictate what you saw. The system turns those notes into a proposal draft using your approved scope language and pricing rules. Once you approve it, it goes out with e-signature and deposit links, and the system follows up on open estimates until the customer accepts, declines, or asks you to stop.
Estimates take an evening to write, and once they’re sent, nobody follows up. Many of them just go quiet.
With Fieldwright
You dictate notes in the truck. A draft is waiting when you get back. You approve it, it goes out with a signature link, and polite follow-ups go out on schedule.
Illustrative example.
The workflow
How it flows.
From the site visit to a signed estimate. AI drafts and follows up. Your office decides what goes out.
Ask every customer for a review, and make it easy to say yes.
After a job is done, the system asks the customer for an honest review with a direct link, and lets your team know about any feedback that needs a response. It can also invite customers to refer friends and track where referrals come from. Every customer gets asked, not only the ones who seem happy.
You ask for reviews when you remember, usually only from customers you know are happy, and nobody tracks referrals.
With Fieldwright
Every finished job gets a review request with a one-tap link. Unhappy feedback reaches the owner the same day, and every referral is tied to the customer who sent it.
Illustrative example.
The workflow
How it flows.
Every paid job ends with a review request at the right time. Unhappy customers reach the owner first.
Once an appointment is booked, the system confirms it, sends reminders, handles reschedule requests, shares any preparation instructions, and tells the customer when your team is on the way. It connects to your calendar or dispatch system and alerts your office when something needs attention.
Teach your team to work with AI, using their real work.
Most AI tools fail because people never learn to use them. We run hands-on workshops built around your employees’ real responsibilities and the tools your company has approved. Your team learns to write reusable instructions, document procedures, build simple workflows, and test AI agents, with internal champions to keep it going.
For HVAC, plumbing, electrical, roofing, and specialty contractors. We set up AI that answers your phone, follows up on leads and estimates, keeps customers informed, and gets invoices paid.
We map how the work runs today and find the stall that costs the most.
Step 2
Design
We agree on what the system does, what it connects to, and where a person decides.
Step 3
Build and prove it
We build it into your tools and test it on real work until it holds up.
Step 4
Train and run
We train your team, then monitor and improve it month to month.
Professional services
Win clients faster, and stop chasing their paperwork.
For accounting firms, insurance agencies, consultancies, and other client-service businesses. We set up AI that handles intake, drafts proposals, collects client documents, and keeps billing on schedule.
We map how the work runs today and find the stall that costs the most.
Step 2
Design
We agree on what the system does, what it connects to, and where a person decides.
Step 3
Build and prove it
We build it into your tools and test it on real work until it holds up.
Step 4
Train and run
We train your team, then monitor and improve it month to month.
Real estate and property management
Answer every lead, and keep every file current.
For brokerages and property managers. We set up AI that responds to buyer, seller, and tenant inquiries, schedules showings, checks files against signed documents, and follows up on what’s missing.