Field service management software

Fieldified: field service operations connected from first enquiry to payment.

Fieldified is field service management software founded by Ayush Sharma. Its public product surface connects customer acquisition, quotes, scheduling, dispatch, field execution, evidence, invoicing, payments, and operational visibility.

Founder relationship and review-platform presence are user-confirmed. Product modules and the screenshot are sourced from the public Fieldified website. Performance percentages and customer quotes are not reproduced here without underlying methodology and approval records.

Users & market
Workflow & records
Operating constraints
Fieldified
Useful product
Reliable operations
Founder lessons
Relationship
Founded
Ayush Sharma founded Fieldified; the product is not represented as a conventional Automiq client engagement.
Public availability
Live product
The current website presents active web and mobile field-service workflows and links to a product trial.
Capterra profile
Listed · 0 reviews
Capterra lists Fieldified but shows no published customer reviews as reviewed on 16 August 2026. No rating is claimed here.

Evidence labels below distinguish public sources, founder confirmation, and records still pending.

Product interface

A current product surface buyers can inspect.

Screenshots come from the public product website and are shown as product evidence, not as an unrelated client deliverable.

Fieldified dashboard for managing customers, scheduling, jobs, and field service operations
Public Fieldified dashboard image. The live product website is the source for current features and availability. View public source ↗

Original market problem

The operating friction the product is designed around.

A credible product overview starts with user work and system failure—not a generic feature inventory.

The office cannot see field reality

Schedules, travel, job state, notes, photos, materials, approvals, and completion evidence arrive late or inconsistently.

Quote-to-cash crosses too many tools

Leads, customer records, quotes, jobs, invoices, payments, and follow-up become duplicate administrative work.

Customers lack timely context

Missed calls, uncertain arrival windows, reschedules, approvals, and payment reminders damage trust and increase support load.

Target users

Who Fieldified is designed to serve.

The product organizes different responsibilities around shared operational state.

Home-service businesses

Growing plumbing, HVAC, electrical, cleaning, landscaping, maintenance, and similar teams.

Commercial service operators

Businesses coordinating recurring work, multiple customers, technicians, sites, quotes, invoices, and evidence.

Office and field teams

Dispatchers, owners, technicians, finance, and support users who need one current operational view.

Core product modules

A complete workflow, not one isolated dashboard.

Current availability and commercial terms should always be checked on the live product website.

Leads and customer records

Service requests, prospects, customers, sites, communication history, notes, and follow-up ownership.

Quotes and booking

Service scope, pricing, approval, conversion, scheduling, reminders, and customer confirmation.

Scheduling and dispatch

Calendars, assignments, technician availability, route context, rescheduling, alerts, and exception handling.

Field mobile workflows

Job details, status, notes, time, before-and-after photos, signatures, navigation, and field-to-office updates.

Invoices and payments

Invoice generation, payment collection, receipts, reminders, financial status, and operational reporting.

Business operations

Team access, automation, service visibility, dashboards, support, onboarding, and continuing product administration.

AI & automation

Intelligence bounded by product state and human authority.

The product surface and responsible engineering boundaries are separated from speculative AI claims.

Scheduling assistance

The public product describes AI-assisted scheduling while dispatch ownership and operating constraints remain visible to people.

Reminders and follow-up

Automate routine customer and team communication around approved events, timing, status, and escalation paths.

Operational summaries

Summarize job notes and evidence for faster office review when source records remain available and correctable.

Exception prioritisation

Surface overdue, conflicting, incomplete, or at-risk work without silently changing customer commitments or safety decisions.

System view

How the visible product workflows fit together.

This explanatory model helps buyers reason about the product without pretending to disclose its private infrastructure.

  1. Stage 01

    Customer & team channels

    • Web enquiry, portal, phone, email, or staff entry
    • Office dashboard and technician mobile experience
    • Identity, tenant, role, location, and service context
  2. Stage 02

    Service workflow

    • Lead, customer, quote, job, visit, invoice, and payment state
    • Scheduling, assignments, reminders, forms, and rules
    • AI assistance bounded by operating policy
  3. Stage 03

    Field & commercial systems

    • Mobile sync, photos, signatures, time, maps, and notifications
    • Payment, accounting, calendar, communication, and automation interfaces
    • Reporting, exports, retries, and reconciliation
  4. Stage 04

    Product operations

    • Tenant access, onboarding, support, billing, and observability
    • Offline and failed-sync recovery
    • Release control, audit, and feedback loops
A public-facing system model based on visible Fieldified workflows, not a claim about every private implementation or integration.

Integrations

Connected systems need ownership, reconciliation, and failure paths.

A connector is only useful when identities, source records, retries, exceptions, and support responsibility remain clear.

Payments and accounting

Invoice and payment state, refunds, fees, receipts, reconciliation, and accounting ownership.

Maps and communication

Addresses, routes, notifications, calls, email, and customer messages with consent and delivery state.

Calendars and scheduling

Availability, assignments, changes, time zones, conflicts, reminders, and source-of-truth decisions.

Automation and operational data

APIs, webhooks, exports, imports, reporting, and workflow connections with monitoring and exception queues.

Architecture & scale considerations

What becomes important after real users arrive.

These concerns come from operating software over time, not from claiming a private stack or universal scale milestone.

Offline and weak connectivity

Field work needs queued actions, conflict rules, timestamped evidence, retry, and visible sync status.

Location and evidence privacy

GPS, photos, signatures, notes, and customer records need purpose limits, role access, retention, and audit.

Schedule integrity

Travel, skills, availability, duration, priority, and customer promises must survive reschedules and partial failure.

Mobile release operations

Device variation, permissions, app distribution, backward compatibility, support, and observability become continuing product work.

Evidence register

What is public, confirmed, or still pending.

Ratings, customer totals, performance claims, and badges are excluded unless the product-level source and usage permission are attached.

Fieldified evidence and responsible interpretation
EvidencePublished valueStatusWhat a buyer should infer
RelationshipFoundedfounder confirmedAyush Sharma founded Fieldified; the product is not represented as a conventional Automiq client engagement.
Public availabilityLive productpublic sourceThe current website presents active web and mobile field-service workflows and links to a product trial.
Capterra profileListed · 0 reviewspublic sourceCapterra lists Fieldified but shows no published customer reviews as reviewed on 16 August 2026. No rating is claimed here.

Source links, where available, remain attached to the public product and case-study pages; a status label is not an independent verification claim.

Investment and timeline

Product history is evidence, not a pre-priced client estimate.

The time and investment used to create Fieldified do not predict a new engagement because users, integrations, assurance, migration, release responsibility, and evidence differ.

How is a new timeline estimated?

Automiq reviews the current workflow or product, defines a bounded production outcome, records dependencies and customer decisions, and sequences acceptance and release gates.

How is investment estimated?

Commercial scope follows the agreed milestone, disciplines, system access, data and integration work, quality controls, environments, handover, and continuing operating responsibility.

Operating lessons

What building and running the product taught.

The strongest credibility comes from the decisions and failure modes the team has had to understand over time.

Mobile is part of the operating system

A field app must handle evidence, connectivity, permissions, device behavior, and recovery—not merely mirror a desktop UI.

Scheduling is an exception engine

The calendar is the easy part; constraints, changes, travel, incomplete work, customer expectations, and ownership define the product.

Commercial and operational state must agree

Quotes, work, invoices, and payments need one traceable chain or the business spends its time reconciling systems.

Customer communication is workflow state

A reminder or arrival update is only trustworthy when it reflects the current job, assignment, timing, and fallback path.

Relevant technologies

Engineering options relevant to this class of product.

These links show Automiq capabilities and architecture choices buyers may need. They do not disclose or certify the product’s complete private stack.

cloud data

PostgreSQL

PostgreSQL architecture, migration, and application development

Explore PostgreSQL

cloud data

AWS

AWS software and production AI development

Explore AWS

Related case study

The founder and engineering relationship, explained separately.

The case study focuses on context, decisions, operating challenges, evidence, and lessons rather than repeating this product overview.

Product visual

Founded by Ayush Sharma

Fieldified

Field services · B2B SaaS experience involving Web app, Mobile workflows, Payments, Automation.

  • Field services
  • B2B SaaS
Read the case study

Questions, answered

Fieldified questions, answered

Direct answers about ownership, capabilities, evidence, AI responsibility, and how the experience relates to client work.

Is Fieldified an Automiq AI client?

No. Fieldified is field-service SaaS founded by Ayush Sharma. The relationship is product ownership and operating experience.

What workflows does Fieldified cover?

Its public surface covers service requests, leads, customers, quotes, scheduling, dispatch, technician mobile work, job evidence, invoicing, payments, reminders, and reporting.

Does Fieldified support field teams on mobile?

Yes. The public product describes mobile access to jobs, status updates, notes, time, photos, signatures, alerts, and navigation.

Can Automiq build original field-operations software?

Yes. The experience can inform mobile, scheduling, offline, evidence, payment, integration, and operational architecture for original software serving the buyer’s own workflows.

Talk to the engineering team

Build an original product with an operator-led engineering team.

Bring your users, workflow, market, constraints, and desired outcome. We will apply the operating lessons without copying another product’s code or business logic.