Connect AI Front Desk to ServiceTitan: A 4-Step Setup to Capture After-Hours Jobs

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The contractor who answers at 5:15 PM books the job. Connecting AI Front Desk to ServiceTitan automatically creates a job record after every after-hours call — no night-shift CSR required. Here is the exact setup.

Prerequisites

Before starting, confirm you have:

• An active ServiceTitan account with API access enabled. Enabling API access in your tenant settings is usually immediate. Depending on your auth method (OAuth app vs. direct API key) and integration scope, you may also need ServiceTitan partner-app approval — check your account’s API settings or ask your ServiceTitan rep to confirm which tier applies before you start building.
• An AI Front Desk account on the Starter plan or above ($79/month annual, $99/month monthly)
• A Make.com account (free tier with 1,000 credits/month works for low call volume; paid starts at $9/month annual)
• Your ServiceTitan tenant ID and API credentials (found in Settings under Integrations)
• Admin access to your business phone system for call forwarding rules

Time estimate for the full setup: 60-90 minutes.

Before building the scenario, it helps to understand why you need Make.com in the middle at all.

ServiceTitan is a CRM (customer relationship management) and dispatch platform built for home service companies. It has an open API (application programming interface — the door that lets outside software read and write your ServiceTitan data). AI Front Desk is an AI-powered phone receptionist that answers calls, holds a natural conversation, and captures structured data: caller name, phone number, address, and job description.

Most integration guides suggest a shallow trigger: “new call received” fires and dumps raw text into ServiceTitan. The problem is no customer-matching logic. Your customer list fills with duplicate “John Smith” profiles, each with a separate job history.

The better path routes AI Front Desk’s webhook output (a structured data package sent automatically after each call) through Make.com, which applies matching logic before creating or updating records in ServiceTitan. AI Front Desk’s webhook format does not match ServiceTitan’s API input — fields need remapping, and you need a lookup step to check whether the caller already exists. Make.com handles that logic visually, without code.

For a side-by-side comparison of ServiceTitan against alternatives for smaller teams, see our ServiceTitan vs Housecall Pro AI breakdown.

The 4-Step Walkthrough: Mapping AI Front Desk to ServiceTitan

The upshot: four steps, one afternoon, zero code written.

Step 1: Configure AI Front Desk Call Handling (20 minutes)

Before starting, confirm AI Front Desk offers webhook output on your plan.

Log into your AI Front Desk dashboard and set up your business profile:

1. Enter your business name, service area, and operating hours so the AI knows when you are “closed” versus available.
2. Build your call script. For home services, collect: caller name, phone number, property address, brief description of the issue, and urgency level (routine vs. emergency). AI Front Desk lets you define required fields the bot must capture before ending the call.
3. Enable webhook delivery in the integrations section. You will get a webhook URL from Make.com in Step 2, leave this field ready.
4. Set the AI to notify-for-approval mode for any job estimated above your comfort threshold. Emergency calls get flagged for your review before the system logs a high-ticket visit.

You will know this step worked when: You call your AI Front Desk number, have a natural conversation about a fake plumbing emergency, and see the structured call summary in your dashboard with all required fields populated.

Step 2: Build the Make.com Scenario (25 minutes)

Open Make.com and create a new scenario. A scenario is Make’s term for an automated workflow, a sequence of steps that run every time a trigger fires.

1. Add a Webhooks module as your trigger. Select “Custom Webhook” and copy the generated URL.
2. Paste that URL into AI Front Desk’s webhook delivery field from Step 1.
3. Run a test call so Make.com captures the data structure. You need this sample so Make knows which fields are available (caller_name, phone, address, issue_description, urgency).
4. Add an HTTP module configured to call ServiceTitan’s customer search endpoint. Map the caller’s phone number as the search parameter, this is your duplicate-prevention lookup (search customers by phone).
5. Add a Router module after the search. One path handles “customer found” (update existing customer record). The other handles “customer not found” (create new customer record, then create a job record).
6. On each path, add HTTP modules calling ServiceTitan’s Customer search and Job creation endpoints via HTTP module with fields mapped from the webhook data. If your OAuth credentials require token refreshing, add an OAuth refresh step at the start of the scenario. Optionally, add a create-appointment step on the “new customer” path if you want the job ready for dispatch to schedule immediately rather than queued for morning review.

You will know this step worked when: The scenario runs end-to-end with a test webhook, and you see a new job record appear in ServiceTitan, either awaiting appointment scheduling by dispatch, or with an appointment already created if you added that optional step.

Step 3: Set Up Call Forwarding (10 minutes)

Configure your business phone to forward to AI Front Desk using time-based conditional forwarding. Split the rule by context: after-hours, forward immediately so the AI picks up on the first ring. During business hours (overflow), set a 4–5 ring delay before forwarding, this prevents callers from hearing silence or a clipped greeting if the AI connection takes a moment to establish.

If you use ServiceTitan’s native phone tracking numbers, set the forwarding at the tracking number level so call attribution stays intact.

You will know this step worked when: Calling your main business line outside your set hours routes to the AI greeting within 5 seconds.

Step 4: Run a 48-Hour Parallel Test (ongoing)

Do not go live without a test window. For the first 48 hours:

1. Set the Make.com scenario to create jobs in a “Pending Review” status rather than directly dispatching.
2. Manually compare each AI-captured job against what the caller actually said (listen to the call recording in AI Front Desk).
3. Check ServiceTitan for duplicate records each morning.
4. Adjust your AI Front Desk script prompts based on any missed details.

You will know it worked when: After 48 hours, at least 5 test calls have landed cleanly as ServiceTitan job records with correct customer matching, accurate job descriptions, and no duplicates.

Preventing the ‘Duplicate Customer’ Disaster

Duplicate records corrupt your job costing, warranty tracking, and membership billing faster than almost any other data error. The harder part of this integration is not making the AI sound natural, modern AI voice quality handles that. The harder part is the matching logic that stops your automation from creating a new “John Smith” record every time John calls from a different number.

Here is the matching hierarchy to configure in your Make.com scenario:

1. Phone number match. Most reliable. Strip all formatting and compare the raw 10-digit string against ServiceTitan’s customer phone fields (mobile, home, and work).
2. Address match. If no phone hit, compare the street address AI Front Desk captured against existing records. Normalize abbreviations (St vs. Street, Ave vs. Avenue) before comparing.
3. Name + zip code match. Last resort fuzzy match. Use this only to flag a possible duplicate for manual review, never to auto-merge.

If none of these return a confident match, only then should the automation create a new customer record.

In your Make.com scenario, add a Router module after the phone number lookup. Route “match found” to the “Update Existing Customer + Create Job” path and “no match” to the “Create New Customer + Create Job” path. Add a third route for “multiple matches found” that sends a Slack or email alert for human review instead of guessing.

Set a weekly duplicate audit for the first 30 days. Pull a ServiceTitan report filtered by customers created in the last 7 days, sort by phone number, and scan for near-matches. Most shops find 2-4 duplicates in week one, fix their matching logic, and see zero by week three.

Cost-Benefit Snapshot: What This Integration Actually Saves

The financial case for this setup is not theoretical. Here is what the numbers look like for a mid-size residential HVAC, plumbing, or electrical shop running 8–15 after-hours calls per week. (The SBA’s guidance on small business technology investment is a useful sanity check when evaluating any operational software spend):

Even at the conservative end, three extra jobs and a cheap answering service replaced, you are looking at roughly a 10:1 return on the monthly software spend. The shops that benefit most are the ones currently losing weekend emergency calls to voicemail, where a single missed water heater or HVAC failure call can represent $800–$2,000 in lost revenue. Before you launch, review the FTC’s automated-call rules so any future outbound callbacks or SMS confirmations you add stay compliant with TCPA and state law.

Troubleshooting the Three Most Common Failures

Jobs land in ServiceTitan without a business unit or job type

This happens when your Make.com field mapping skips ServiceTitan’s required fields. AI Front Desk may capture “I need my AC fixed,” but your automation needs to translate that into a specific jobTypeId in ServiceTitan’s API.

Electrical contractors especially benefit from this setup, and you can learn more about AI phone answering for electricians who miss calls constantly.

Beyond capturing jobs after hours, you can also explore AI for HVAC invoicing to streamline billing once those leads convert.

Many HVAC owners are also exploring whether AI for HVAC scheduling can streamline their dispatch process beyond just after-hours calls.

Fix: Build a lookup table in Make.com (use the Data Store module) that maps common phrases. “AC,” “air conditioner,” “cooling”, to your ServiceTitan job type IDs. Default unmapped requests to a generic “Unassigned – Needs Review” job type so the scenario does not error out.

Calls forward to AI Front Desk but callers hear silence or a partial greeting

Almost always a call forwarding timing issue. If your phone system’s ring-before-forward setting is too short, the call connects before AI Front Desk’s greeting loads.

Many service businesses also explore whether GoHighLevel integrates with Jobber before deciding which CRM stack best supports their field operations.

Before committing to ServiceTitan, you might also be weighing your options in the housecall pro vs jobber debate for smaller crew setups.

For a more custom automation approach, understanding whether Make.com integrates with ServiceTitan can unlock powerful multi-step workflows beyond standard setups.

Fix: If callers hear silence or a clipped greeting, your forwarding delay is too short. For business-hours overflow, set the ring-before-forward delay to 4–5 rings (20–25 seconds) minimum. After-hours forwarding can stay immediate, if callers still report dead air, add one ring to give the AI connection time to establish. SIP trunk users should verify that INVITE headers pass caller ID correctly; some VoIP systems strip the originating number during forwards, which breaks your customer matching logic downstream.

Make.com scenario runs but ServiceTitan rejects the API call

Check the error log in Make.com first. Common rejection codes:

Many service businesses also explore connecting Make.com with Jobber as an alternative workflow, especially if you’re already using Jobber for scheduling.

Once your after-hours system is running, you can cut overhead further by exploring DIY AI marketing tools for HVAC companies to replace expensive ad agencies.

• 401 Unauthorized. API key or OAuth token expired. Add an OAuth refresh step at the start of your scenario (if your auth method requires it).
• 400 Bad Request. A required field is missing or formatted incorrectly. Phone numbers must be 10-digit numeric strings without dashes or parentheses.
• 409 Conflict. You are trying to create a record that already exists. This loops back to the duplicate-customer logic above.

Turn on Make.com’s “Incomplete Executions” feature. When a scenario fails, it stores the data so you can replay it after fixing the issue, no lost leads from a 2 AM API hiccup.

One Tool, One Hour: Your Next 30 Minutes

You have the architecture, the step-by-step walkthrough, and the failure modes mapped. Here is what to do right now:

1. Sign up for AI Front Desk if you have not already and configure a basic greeting script using the framework in Step 1. Do not over-engineer it, name, address, phone, and problem description are the only fields you need to launch.
2. Create a free Make.com account and build the webhook trigger. You do not need a paid plan to test the scenario with sample data.
3. Pull your ServiceTitan API credentials from Settings → Integrations → API Application. If you do not see this option, your ServiceTitan subscription tier may require an upgrade, contact your ServiceTitan account rep to confirm API access.
4. Schedule your 48-hour parallel test for a low-volume period (midweek is ideal). Run AI Front Desk alongside your current after-hours process and compare every record.

The shops that run this integration stop losing after-hours revenue within a week. The ones that wait another quarter lose another 50-100 calls to voicemail. Setup takes an afternoon. The return starts the first night your phone rings at 9 PM: a job record lands in ServiceTitan, and dispatch has everything they need to schedule it first thing in the morning.

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