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AI-Powered Platform

Build Field Service Apps By Simply Describing Them

Stop wrestling with complex software configurations. Fieldproxy's AI Builder understands plain English and creates custom workflows, forms, reports, and automations in seconds. What takes months in traditional FSM takes minutes with AI.

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How AI Builder Works

Three simple steps to go from idea to working software

  1. 1. Describe

    Tell AI What You Need

    "Create a preventive maintenance workflow that schedules HVAC inspections every 6 months and alerts customers 2 weeks before."

    No menus. No forms. Just describe your process in plain English.

  2. 2. AI Builds

    Watch It Come to Life

    AI analyzes your request, designs the workflow, creates database tables, builds forms, sets up notifications, and tests everything.

    Complete configuration in 30-60 seconds, not 3-6 months.

  3. 3. Use

    Go Live Immediately

    Your new workflow is live and ready. Need changes? Just tell the AI. "Add photo attachments" or "Change frequency to 3 months." Done.

    Continuous improvement through conversation, not change requests.

What AI Builder Creates

From simple automations to complete business systems

Custom Workflows

Multi-step approval processes, conditional routing, escalation rules, and parallel task execution.Example: Emergency dispatch approval chains

Dynamic Forms

Custom inspection checklists, job intake forms, customer surveys, and equipment assessments.Example: HVAC equipment inspection forms

Smart Reports

Real-time dashboards, custom KPIs, automated insights, and scheduled report delivery.Example: Technician utilization analytics

Automation Rules

Triggered actions, scheduled tasks, conditional notifications, and data synchronization.Example: Auto-assign jobs to nearest tech

Customer Communications

SMS templates, email sequences, appointment reminders, and feedback collection.Example: Post-service review requests

Scheduling Logic

Recurring jobs, maintenance contracts, availability rules, and resource optimization.Example: Quarterly maintenance schedules

See it built around how your team already works.

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Real AI Builder Examples

See what businesses have built using plain English

HVAC Service

Customer Request:

"Create a priority dispatch system where emergency calls go to certified techs within 10 miles, and if no response in 15 minutes, escalate to all available techs"

AI Builder Created:

  • Emergency job classification
  • Certification-based tech filtering
  • Geo-radius assignment logic
  • Time-based escalation rules
  • Multi-notification system

45 seconds

Build Time

Facilities Management

Customer Request:

"Build an equipment maintenance tracker that alerts us 30 days before warranty expiration and automatically creates a service job"

AI Builder Created:

  • Equipment database with warranty fields
  • Automated expiration monitoring
  • 30-day advance notifications
  • Auto-generated service jobs
  • Warranty status dashboard

52 seconds

Build Time

Plumbing Services

Customer Request:

"Set up a customer satisfaction workflow that sends an SMS survey 2 hours after job completion and alerts management if rating is below 4 stars"

AI Builder Created:

  • Post-job completion triggers
  • SMS survey delivery system
  • Rating collection and storage
  • Conditional alert logic
  • Management dashboard for trends

38 seconds

Build Time

Traditional Configuration vs AI Builder

Old Way - Manual Configuration

  • Hire consultants at $200-$400/hour
  • Attend 3-week training bootcamp
  • Navigate complex admin panels
  • Write custom code for special cases
  • Wait weeks for vendor to make changes
  • Pay extra for 'advanced' customization
  • 3-6 months to go live
  • $50k-$200k implementation cost

New Way - AI Builder

  • Describe what you need in plain English
  • AI builds it in 30-60 seconds
  • See it working immediately
  • No code required - ever
  • Change anything with conversation
  • Unlimited customization included
  • 1-2 days to go live
  • One scoped implementation, quoted up front

AI Builder Impact

100x

Faster Than Manual Setup

Unlimited

Users On Every Plan

95%

First-Time Accuracy

24/7

AI Availability

Worked example

Changing the software by asking: a worked example

An HVAC contractor starts offering duct cleaning. Here is how the new service is added to the software in one conversation, and what is checked before anything changes.

  1. 1

    Ask for the change

    In Command Center the office manager types: 'Add a Duct Cleaning job type, 90 minutes, with a before-and-after photo checklist.'

  2. 2

    See it before it happens

    Fieldproxy shows a setup card with the before and after: the new job type, its duration and the checklist. Nothing changes until Save is clicked.

  3. 3

    It is live

    Once saved, the job type is bookable, the checklist appears on the technician app on next sync and the portal can offer it. No app store update and no ticket.

  4. 4

    A price change waits for approval

    The manager then asks to raise tune-up prices. The card lists every old and new price with a tick box, and changes over 10% wait for an owner to approve.

  5. 5

    Undo if it was wrong

    Every change is logged with who made it. If a change was a mistake, it can be undone.

The software changes the same day the business does, and a person approves every change before it goes live.

Names and figures in this example are demo data.

Screens from our demo account

Setup change card adding a Duct Cleaning job type with a 90 minute duration, showing before and after
Adding a job type, previewed before saving
Price change card listing every tune-up price old and new, each with a tick box, and a note that changes over 10% wait for approval
A price change that waits for approval
Four requests in Command Center

What you can change, and how

  • What can be built

    Job types, fields, checklists, forms, stages, screens, notifications, automations and reports.

  • Who can change what

    Decide which roles can make setup changes and which need approval.

  • Approval thresholds

    For example, price changes above a percentage wait for the owner.

  • From outside Fieldproxy

    Connect ChatGPT, Claude or Copilot and make the same requests from there.

How it connects to the rest of Fieldproxy

  • Command Center

    Ask questions and make changes in plain English.

  • Custom data

    New tables and fields land in your data model.

  • Custom FSM

    Why being able to change the software matters.

  • MCP server

    Every action is also available to AI assistants through MCP.

When this is not the right fit

  • Large changes to how your whole business runs are best planned with us first, even if the build itself takes minutes.
  • The builder works inside Fieldproxy's platform. It does not write code for systems outside it; those connect through the API.
  • Every change needs a person to approve it. If you want changes made with nobody checking, this is deliberately not that.

Questions

Straight answers.

Can I change field service software without a developer?

Yes. In Fieldproxy you describe the change in plain English, such as a new job type, field, checklist or rule, see it before it is saved, and it is live the same day.

Is every AI change checked before it goes live?

Yes. Changes are shown as a card with the before and after and nothing changes until someone saves it. Changes above your thresholds need an approver.

Can we use ChatGPT or Claude to change Fieldproxy?

Yes. Connect ChatGPT, Claude or Copilot and make the same requests from there.

Can a change be undone?

Yes. Every change is logged with who made it, and can be undone.

Ready to Experience AI-Powered Configuration?

See how AI Builder can create your custom field service workflows in minutes. No consultants, no complex training, no months-long implementations.

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Build it from ChatGPT, Claude or Copilot too

The same AI builder works from the assistant your team already uses: ask for a field, screen or automation, review it in a sandbox, approve it live.