# What an AI Implementation Specialist Does Day to Day Published 2026-10-08 by Sid Jashnani. A normal week for an AI implementation specialist: example workflows in Zapier, Make, n8n, ChatGPT or Claude, and a CRM. Day to day, an AI Implementation Specialist moves a short list of workflows through four states: mapped, in test, live, and broken. The tools are the ones you already pay for, usually Zapier, Make, or n8n, plus a ChatGPT or Claude API call and the CRM your team already lives in. The output of a normal day is a workflow someone else can pause, not a tour of a new model. These three are example workflows you can brief. The responsibilities, the skills table, and a 90-day plan are in what an AI implementation specialist does. Pricing is in the [cost guide](https://blog.rekruuto.net/ai-implementation-specialist-cost). The choice between a full-time seat, a consultant, and an agency is in [specialist vs consultant vs agency](https://blog.rekruuto.net/ai-implementation-specialist-vs-ai-consultant-vs-agency). A full-time [AI Implementation Specialist](https://www.rekruuto.net/ai-implementation-specialist) placed by us starts at $2,500 a month, can start in 14 days, and includes a 1-week trial. If you are not sure the work is repeated enough, take the [AI automation scorecard](https://www.rekruuto.net/ai-automation-scorecard) before you [book a strategy call](https://www.rekruuto.net/va-strategy-call). ## How should they pick Zapier, Make, or n8n? Pick the tool your team can still open after the specialist is out for a day. Zapier fits a straight trigger and action when you already pay for it. Make fits a scenario that branches, loops, or needs a router. n8n fits when you want the workflows in infrastructure you control and someone on the team can host it. Do not collect all three. A specialist who adds a second automation platform in week one is creating a second thing to maintain. Ask them to name the one they would use for the first workflow and the reason they would refuse the other two. Vendor prices change. Copy the current figure from Zapier, Make, or n8n on the day you buy, the same way you would for model usage. The staffing fee does not include those bills. The model is a step inside the workflow, not the workflow. A ChatGPT or Claude API call is justified when the text varies and a rule cannot hold the exceptions. A rule is better when the text does not vary. If the draft can embarrass a customer, move money, or change a contract, a named person approves it before it leaves the building. ## What does an inbox workflow look like? A shared inbox is the usual first workflow because the volume is real and a bad draft is easy to stop. The trigger is a new message in the shared mailbox. Rules run first, before any model. Billing, an existing customer, a new lead, and noise get different labels. Only the labels you chose are sent to a model. The API call receives the thread and a short note about your voice. It returns a summary and a draft. It does not send. A person on your team reads the draft and sends, edits, or deletes it. The specialist's job that day is to watch the misses: a refund the model invented, a promise you do not offer, a tone that is not yours. They add the miss to a banned-phrase list or they tighten the prompt. They also put a daily cap on API calls so a loop cannot run overnight. Zapier or Make can hold this together if the mailbox and the draft queue are apps they already connect. n8n can hold it if you want the run log on your side. Either way, the send button stays with a human. A specialist who wants the first version to send on its own has skipped the test. The day-to-day work after launch is not "build another inbox." It is reading the log, fixing the label that started catching newsletters, and writing the three-line note a teammate needs when the draft queue stops. ## What does a CRM automation look like? A CRM workflow writes to a system your sales or success team already trusts. It should not invent contacts you did not ask for. A typical version starts when a form is submitted or a lead is created. The workflow writes the fields the form already collected: name, company, the page they came from, and the owner your routing rule names. If you want a model to summarize what the lead wrote, that summary goes in an internal field. It does not email the lead. HubSpot and GoHighLevel are the CRMs named on the [role page](https://www.rekruuto.net/ai-implementation-specialist). If you run something else, say so on the call. The pattern is the same: one trigger, a small set of fields, a person checking the first batch. The specialist spends the day on exceptions, not on the happy path. A missing company name, a free-mail address you still want to keep, a duplicate of someone already in the pipeline. They decide with you which exceptions stop the workflow and which ones get a task. They do not turn on unattended writes until you have looked at a sample and agreed the stages. Failure looks like a lead in the wrong stage or a note that quotes the form incorrectly. The alert should hit a Slack channel or an email a named person reads. The runbook should say how to replay one record without replaying the whole week. That runbook is the deliverable. The Zap, the Make scenario, or the n8n flow is the means. ## What does a meeting-notes workflow look like? A transcript is useful when it becomes owners and dates. It is a liability when it emails a customer the internal aside. The trigger is a transcript landing in the folder or tool you already use. The model drafts tasks: owner, due date, and the sentence it pulled from. A person assigns the owners. The CRM gets an internal note. Nobody outside the company is copied unless that person clicks send. Day to day, the specialist is comparing the draft tasks with what the account owner would have written. They delete tasks that are not tasks. They refuse to automate the customer recap until the internal version has been right for a few weeks. They record the API cost next to the workflow so a long transcript cannot hide an expensive prompt. This is the same shape as the inbox and the CRM. Map the steps, including the exception. Use a rule where the text does not vary. Use ChatGPT or Claude where it does. Keep a human on the step that can embarrass you. Write down how you hear about a failure. ## What should you hand them on Monday? Hand them one process, twenty real examples, and the name of the person who may approve a send. Without those, the day is waiting. Use this as the brief. Delete anything you do not mean. - The process, in the words of the person who does it today, including the cases they handle differently. - Where the work lives now: the mailbox, the CRM, the transcript tool. - What the workflow must not do. Sending, paying, and changing a contract are the usual three. - A sample of real cases with the outcome you would have wanted. - The monthly cap for the model and for the automation tool. - The channel where a failure should show up, and the person who reads it. If you cannot fill the sample, you are not ready for the build. You may still be ready for the [scorecard](https://www.rekruuto.net/ai-automation-scorecard), which asks whether the work repeats often enough to hire. Stores with order and review workflows should also read AI automations for Shopify before they brief a specialist on the theme. Theme and app code belong with a [Shopify developer](https://www.rekruuto.net/shopify-developer), not with this seat. ## Frequently asked questions ### What does an AI implementation specialist do day to day? They map a repeated process, build the smallest workflow in Zapier, Make, n8n, or the product's own automation, test it on real examples, and keep a human on anything that sends, pays, or changes a contract. ### Do they need the ChatGPT or Claude API on day one? No. Many first workflows are rules plus a draft that a person sends. Add an API call when the wording varies and you have a spend cap and a review step. ### Which CRM should the workflow use? The one your team already runs. The role is scoped around tools such as HubSpot and GoHighLevel. Bringing a new CRM is a separate project. ### How do I hire this person? Book a strategy call. The published start is $2,500 a month, the start time is 14 days, and there is a 1-week trial with a replacement or a refund if you are not satisfied. ## Book a call Bring one process, not a platform wishlist, to a [strategy call](https://www.rekruuto.net/va-strategy-call). The [AI Implementation Specialist](https://www.rekruuto.net/ai-implementation-specialist) role is the seat. The [AI automation scorecard](https://www.rekruuto.net/ai-automation-scorecard) is the check if you are still unsure the work repeats. Read who maintains automations after launch before you let a workflow live in one person's head.