Services/AI Pilot

One workflow. Built and running
in days.

Fixed scope. Fixed price. Integrated into your existing tools. You see results before we talk about anything else.

$2,500-$4,000 · Starts with a free diagnostic

Start With a Free Diagnostic

How the pilot works

Two weeks from kickoff to go-live. One workflow at a time.

Week 1

Scope and design

We define the exact workflow: what triggers it, what it does, what systems it touches. You approve the spec before we build anything.

Week 2

Build and integrate

We build the workflow inside your existing tools. We connect what you already have and configure the AI layer on top.

Go-live

Test and hand over

We run the workflow through real scenarios, fix anything unexpected, document how it works, and hand it over to your team. Then we monitor it for two weeks.

What's included

  • One complete AI workflow scoped, built, and deployed
  • Integrated into your existing email, CRM, or tools
  • Built inside the tools your team already uses
  • Documented SOPs and team walkthrough
  • Two weeks of post-launch monitoring
  • Fixed price agreed before we start

What we build most often

  • Missed-call text-back that captures job details and books a callback
  • Lead follow-up sequence that runs for 7 days without manual chasing
  • Intake form that extracts key info and routes a clean summary to your team
  • Appointment reminder sequence that cuts no-show rates

If your workflow isn't on this list, book a diagnostic. We'll figure out if it's worth building.

What makes a pilot successful

A good pilot is not the biggest possible AI project. It is the smallest workflow that can prove value in the real business. We want one trigger, one owner, one handoff, and one metric that tells us whether the build worked.

Clear trigger

The workflow starts when something observable happens: a form is submitted, a call is missed, a quote is sent, a document is uploaded, or an appointment is booked. Clear triggers make the system reliable and easier to test.

Human fallback

Every pilot includes an escalation path. If the AI cannot classify a request, if a message is sensitive, or if the customer needs judgment, the workflow routes the case to a person with the context already attached.

Measured outcome

Before launch, we define the scorecard: response time, completed intakes, booked calls, no-show rate, quote follow-up coverage, or hours saved. The workflow is judged by the metric, not by whether it feels impressive.

After launch we monitor real usage for two weeks. That period catches the cases a whiteboard misses: odd replies, incomplete records, duplicated contacts, wrong routing, and edge cases in your tools. We tune the workflow before handoff so your team gets a working operating system, not a demo.

What happens during implementation

We document the workflow before we build

Before touching your tools, we write the workflow in operational terms: trigger, inputs, output, owner, fallback, and success metric. That prevents vague builds and makes review easier for your team. If the workflow is lead follow-up, we define the sources, message timing, qualification questions, routing rules, and stop conditions before building the sequence.

We test with real edge cases

Demo data hides problems. Real workflows include incomplete forms, duplicate contacts, odd replies, missing phone numbers, reschedules, and urgent messages that should never be handled automatically. We test those cases before launch so the AI layer knows when to act, when to pause, and when to hand off to a person.

We hand over an operating system, not a mystery box

Your team gets documentation that explains what the workflow does, how to pause it, how to review outputs, where alerts go, and what metric to watch. We also monitor the first two weeks after launch because live usage always reveals small adjustments. The pilot is finished when the workflow is understood, running, and measurable.

We keep the tool stack boring on purpose

The pilot is usually built with tools your team already uses: your CRM, inbox, calendar, forms, field service platform, ATS, EHR, accounting workflow software, or a lightweight automation layer such as Make or Zapier. Boring is good. It keeps ownership clear, reduces training time, and makes the workflow easier to maintain after launch.

We define failure conditions up front

A pilot should know when to stop. If a message contains sensitive information, if data is missing, if the confidence is low, or if a customer asks something outside the workflow, the automation pauses and routes the case to a person. That makes the system safer and gives your team confidence using it.

We also leave room for the way work actually happens. Teams rename fields, customers reply out of order, staff members develop shortcuts, and edge cases appear after launch. The pilot is designed to absorb those realities instead of assuming the process will behave perfectly.

That is why we prefer narrow pilots over broad transformations. A focused build gives the team a working example, exposes the true maintenance needs, and creates a cleaner path for the next workflow.

Every pilot starts with the free diagnostic

We use the diagnostic to scope the pilot. Book the call first and we'll take it from there.

Book a Free AI Diagnostic