AI for business owners
How AI can help your business: choose your first workflow
Find one repetitive task, use AI where interpretation helps, and judge the result against how your team works today.
Start with a job your team already understands.
My starting recommendation is a small, reviewable task: summarize an enquiry, prepare a reply, or extract details for a CRM record. Choose a person to review the result before it changes a customer interaction.
A useful first AI project has a clear input, a useful output, and a way to check whether it helped. For a service business, that might be the work between a new enquiry and a staff member being ready to respond.
This is a timely area to evaluate. HighLevel’s AI Extract Data documentation, updated July 2, 2026, describes turning incoming text into structured details for later workflow actions. n8n’s September 25, 2026 Agents announcement describes agents working with existing workflows; that feature remains in preview. These are examples of expanding tool capabilities, not evidence of a guaranteed business return.
Three places to look for a useful first project
| Existing work | Possible AI assistance | What a person checks |
|---|---|---|
| Reading new enquiries | Summarize the request and suggest its service category. | The original message, missing details, and the person responsible. |
| Preparing customer replies | Draft a response using approved service information. | Recipient, facts, dates, pricing, and any commitments. |
| Preparing a project update | Draft a summary from current, checked project records. | Source dates, actual status, and who receives the update. |
These are proposed use cases. Select one that recurs often enough to be worth improving and is easy for your team to review. A reminder triggered by a known appointment time may only need ordinary automation; adding AI would introduce another part to maintain.
Prefer tasks with material you can supply and check. If the correct answer depends on an unrecorded agreement or information scattered across private conversations, organize that context first.
An enquiry-to-reply example
Consider a sample enquiry from a customer requesting a quote and suggesting a meeting time. The AI could prepare a short summary, identify the requested service, and flag that the location or scope is missing. It should leave missing information empty and suggest a clarification.
The surrounding workflow matches the enquiry to the right contact, gives it to an owner, and stores the draft. A person checks the request and approves a response. An appointment becomes confirmed only when the scheduling process has checked availability and recorded the booking.
My personal CRM walkthrough shows the contact, conversation, draft-review, and scheduling interfaces behind this kind of work. It is an in-progress build with recorded screens. Its Telnyx and Stripe connections remain marked not configured; the example above is a planning scenario, not a report of measured client results.
Write a one-page pilot brief.
Fill in these six decisions before choosing a tool or commissioning a build:
- The jobWhich repeated task are you improving? Define the start and the point where it is complete.
- The inputsWhich messages, records, and approved reference information may the assistant use? Include an owner for keeping that information current.
- The outputSpecify a summary, suggested fields, or a draft. State what happens when information is absent or contradictory.
- The actionsList what the workflow may save, assign, or send, and which actions require review. Give it only the access needed for this job.
- The reviewerWho checks the result, how do they approve or edit it, and who takes over if the job fails or waits too long?
- The success measureDefine a useful outcome such as less total handling time, fewer missed handoffs, or less rework. Record the current baseline.
Keep the first pilot draft-only. Include incomplete messages, duplicate contacts, changed requests, and questions the assistant should hand to a person. Check the result against the original information, rather than relying on a confidence score.
Measure the whole job.
Compare similar work before and during the pilot. Include reading, review, corrections, exception handling, and the time needed to maintain the setup. A quickly generated draft can still be expensive if staff spend longer checking it.
- Record total staff time for the task, including edits.
- Count drafts used, substantially rewritten, and rejected.
- Record missing or incorrect details caught before an action.
- Track completed handoffs and jobs that needed manual recovery.
- Include subscriptions, model usage, setup, and ongoing support costs.
HighLevel identifies AI Extract Data as a premium action billed per execution. Check the current account pricing and expected usage when comparing options. Expand the pilot when its observed benefit and workload justify it; otherwise improve the workflow or keep the manual step.
Bring one workflow to the discussion.
Share the task, your current tools, a representative example, and what a successful result should look like. I can help scope the CRM, automation, or custom application needed to support it.
Next, read how to build an AI-assisted business workflow or how to choose an agent or fixed automation.
Discuss Your Workflow →