By Elise Balsillie, Head Of Thryv Australia and New Zealand

For many small business owners, AI still feels like a tool they open when a task needs support. It can draft an email, write a caption, summarise a document, sharpen a proposal or help prepare a customer response.

Agentic AI is the next shift. It moves beyond single tasks and into connected action. A business owner can give an AI system a goal, clear rules and access to the right tools so it can help move work forward.

The simplest way to understand the difference is this: traditional AI answers questions. Agentic AI takes action.

Traditional AI can help a business owner create something. Agentic AI can help complete part of a process. It can plan, act, check progress and adjust its next step, while still working within the boundaries set by the business owner. For a small business, that difference is important.

Take a plumber who receives an enquiry about a blocked toilet. With traditional AI, the business owner still has to read the email, check availability, estimate the job, feed the details into AI, ask it to draft a response, copy that response into an email and send it to the customer.

With agentic AI, the AI agent could be connected to the business email, calendar and pricing rules. It could read the enquiry, understand what the customer needs, check available times, prepare a response, apply the right pricing guidance and either send the reply or queue it for approval. The business owner sets the rules. The agent helps move the work.

That is where the growth opportunity sits. Small businesses rarely lose momentum because of one major failure. More often, growth is slowed by the smaller gaps: the enquiry that sits too long, the quote that is never followed up, the customer record that is incomplete, the booking that needs three manual reminders or the review request that never gets sent.

Agentic AI can help close those gaps. It gives business owners a way to build more consistency into the everyday moments that shape customer trust, sales conversion and repeat business.

What agentic AI means for growth

For New Zealand SMBs, the value of agentic AI sits in practical growth pressure points. Many businesses run with lean teams, tight margins and full days. The next stage of growth often depends on how well the business can respond, follow up and keep work moving without adding unnecessary complexity.

A Queenstown tourism business, for example, could use agentic AI to manage booking enquiries across email, website chat and social media. The AI could ask the right questions, suggest suitable packages based on travel dates, group size and budget and flag higher-value enquiries for the team to handle personally.

This is different from using AI to draft a one-off reply. In a traditional AI workflow, someone still has to gather the information, decide what to offer, write the prompt, review the response and send it. In an agentic workflow, the system can help manage the steps around the enquiry, from understanding the request to preparing the next action.

That is where the opportunity becomes powerful. Faster responses can help convert more leads. Better follow-up can lift bookings. More complete customer information can support stronger service. The technology becomes valuable when it helps a business turn interest into action.

For a Christchurch electrician, an AI agent could collect job details, ask for photos, identify urgent safety issues, draft a quote and send a reminder when a customer has yet to confirm. For the business owner, the benefit is less mental load. For the customer, the experience feels organised and responsive. For the business, the growth value comes from fewer missed opportunities and a smoother path from enquiry to paid work.

Agentic AI can also support retention, which is often one of the most overlooked growth levers. A Hamilton beauty clinic could use an AI agent to recognise when regular clients are due for an appointment, prepare personalised messages and suggest relevant services based on previous bookings. The team still owns the relationship, while the system helps keep the customer rhythm moving.

Why agentic AI is different from automation

It is also important not to confuse agentic AI with standard automation.

Traditional automation follows fixed rules. If this happens, then that happens. A customer books an appointment, so a reminder is sent. A quote is issued, so a follow-up email goes out three days later. These tools are useful and many small businesses already rely on them.

The limitation is that traditional automation needs every step to be pre-programmed. If the customer asks something unexpected, leaves out key information or changes the request, the automation can struggle.

Agentic AI is different because it can interpret natural language, identify what is missing and decide on the next step. It can ask a follow-up question, draft a personalised response, adapt when requirements change and escalate the issue when human judgement is needed.

The guardrails still matter. Agentic AI should not be left to make every decision on its own. Business owners need to decide which tasks it can prepare, which tasks it can complete with approval and which moments always need a person. A booking reminder may be low risk. A sensitive complaint, pricing exception or complex customer issue should stay with the team.

From emerging technology to everyday growth tool

The first wave of agentic AI for small business will be guided, practical and task-based. The technology is evolving quickly, although everyday business use needs trust, clean data, strong permissions and sensible safeguards.

The shift will arrive in stages. First, AI suggests the next step. Then it drafts the next step. Then it completes the next step with approval. Over time, lower-risk tasks such as appointment confirmations, review requests, reminders and basic follow-ups may run automatically within rules set by the business.

A Wellington business consultancy might begin by using AI to summarise meetings and draft client follow-ups. The next stage could be an AI agent that turns those notes into tasks, checks due dates, reminds the right person and prepares a progress update before the next client meeting.

The businesses that gain the most value will be those that already understand their customer journey. They will know where enquiries come from, how quickly customers expect a reply, which jobs need follow-up and where admin slows the business down.

Preparation begins before agentic AI becomes mainstream.

Where business owners should start

The first step is to map the work. Business owners should look at the tasks that repeat every week: missed calls, quote follow-ups, appointment reminders, review requests, invoice chasing, new lead responses, customer onboarding, stock reminders, staff rosters and social media drafts.

These are the areas where agentic AI can create early value because they are frequent, structured and easy to improve. They are also linked directly to growth. A faster quote can help win the job. A reminder can protect the booking. A review request can strengthen reputation. A follow-up can bring a customer back.

The second step is to organise customer information. AI performs best when it can work from accurate records. A business with one clear view of the customer has a stronger starting point than a business relying on scattered inboxes, phone contacts, spreadsheets and handwritten notes.

For a local café offering catering, this could be the difference between a scattered enquiry trail and a smooth process. Agentic AI could help capture dietary needs, draft menu options, confirm numbers, prepare an invoice and send a follow-up after the event. The business owner stays focused on the food, the service and the relationship, while the system helps protect the commercial steps around the sale.

The third step is to set boundaries. Business owners should decide where AI can help and where it should stop. The right setup should support the business, not remove judgement from the moments that need care, nuance or a human conversation.

The fourth step is to build confidence across the business. Staff will need to know how to brief AI, review its output, correct errors and improve the workflow. The best results will come when people use their customer knowledge to guide the system.

The growth advantage for businesses that move early

Most small businesses have seen this pattern before. Websites became standard. Online reviews became a trust signal. Digital payments, booking tools, automated reminders and social media all moved from nice-to-have to normal.

Agentic AI may follow a similar path. At first, it will feel advanced. Then customers will expect faster responses, better follow-up and fewer gaps in communication.

For New Zealand SMBs, this could become a quiet competitive advantage. A business with five people may be able to operate with the coordination of a much larger team. A sole trader may be able to keep up with enquiries while working on the tools. A regional business may be able to give customers a smoother digital experience while keeping its local character.

The promise of agentic AI is growth with less friction. Less time buried in admin. Stronger customer follow-up. Better visibility across the business. More consistent service. More energy for the work that builds reputation, loyalty and revenue.

Business owners should start small. Choose one repeated task. Improve one workflow. Clean up one part of the customer journey. Keep human judgement close and let AI support the parts of the business that need consistency.

Agentic AI is coming. The businesses that prepare now will be better placed to use it with confidence, clarity and purpose.