How an AI agent for Tekmetric works

Posted on Oct 15 • Originally published at buildcortex.dev

An AI agent for Tekmetric connects one of two ways: an app approved by Tekmetric that the shop admin authorizes under Shop Settings, Integrations, or a webhook an admin adds themselves. API credentials are not self-serve (one review reports a wait of 2 to 3 weeks). Tekmetric already covers texting, reminders and campaigns; an agent adds follow-up judgment on estimates and declined work, with a service advisor approving every message.

An AI agent for Tekmetric is a small program that watches what happens in your shop (an estimate nobody answered, a repair order that finished while the car sat on the lot, declined work for a customer who is due back) and drafts the next step for a service advisor to approve. In Tekmetric it can reach your data in two ways: through an app Tekmetric has approved, which your shop admin authorizes, or through a webhook an admin adds themselves. What it should not do is send anything to a customer without a person reading it first.

This guide covers what Tekmetric already does, where the gaps are, how an agent connects, and what to keep with your advisors.

Check this first so you don't pay for something you already have.

Tekmetric's integrations page says it has 70+ integrations and lists two-way texting, text-to-pay, digital vehicle inspections, automated reminders, scheduled campaigns and Google review requests. Partners such as ShopGenie and AutoBucks add things like service reminders and a text-based rewards program. We did not find AI features described on that page.

So the reminders and campaigns are already there. They run on rules: this message, at this time, to this list.

A reminder fires on a date. It doesn't know that the customer who declined a suspension job last month asked about financing, or that two estimates are sitting unanswered on the same day your advisor is out.

These are illustrations of the pattern, not a client story.

Two routes exist, and they are quite different.

Webhooks tell an agent something changed, which suits follow-up. A good agent then reads the record, checks it hasn't already acted on that event, and drafts. Events can repeat, and a careless build messages the customer twice.

We found no native ChatGPT or Claude connector. An assistant would need approved API access or a webhook feeding it, plus a place for a person to approve drafts. That last part is what turns a chatbot into something safe to put near customers.

Start with a person approving every draft and loosen it only after you've read enough to trust it. We explain the model in human-in-the-loop AI.

Cortex builds AI agents that work inside the software you already run, with a person approving anything that goes to a customer. We are not a Tekmetric partner or certified app, and we'll say so when Tekmetric's own tools are enough. See what we connect on integrations and how this looks for auto repair. For recovering work that fell off the board, see declined work. If your shop runs another system, read AI agents inside AutoLeap.

The free AI Operations Audit looks at your shop software, phones and books in 30 minutes and tells you which job to hand an agent first.

Tekmetric's integrations page lists two-way texting, automated reminders, scheduled campaigns, Google review requests and digital vehicle inspections. We did not find AI features described on that page.

Yes, but it is not self-serve. Tekmetric sends developers to an application page, and one third-party review reports it needs an active paid subscription plus manual approval that typically takes 2 to 3 weeks.