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Services
AI Solutions

Make every enquiry count

Help customers get answers, capture enquiries, and automate the follow-up work that keeps your business moving.

  • AI Website Chatbots
  • AI Voice Agents
  • Business Workflow Automation

Illustrative demo of an AI chatbot on a fictional trades business website, Northside Cooling and Electrical. A customer asks for an AC repair. The chatbot asks which suburb the property is in; the customer says Sunshine North. It asks whether the unit is not cooling or has another issue; the customer says it is running but not cooling. The chatbot prepares a service request for the team: service, AC repair; location, Sunshine North; issue, not cooling; status, ready for follow-up.

Illustrative demo

Concept for your own website. A working example runs on our homepage.

Services

What we put AI to work on

Each of these is a specific job, not a blanket promise that software will run the business. We start from the enquiry, the call, or the handoff that is slipping today.

01AI chatbots for websites and customer support

ProblemPeople ask the same questions after hours, and a contact form is the only thing waiting for them.

SolutionA chat assistant trained on your services, hours, and policies. It answers from that material and keeps the conversation for your team.

BenefitA visitor gets a useful reply while you are with a customer, and your team can see what was already asked.

AI Assistants

02AI voice agents and receptionists

ProblemThe phone rings while you are on a job. After hours, it goes to voicemail.

SolutionA voice assistant that takes the call, asks what is going on, and passes on a clear message. Our phone receptionist for trades is in pilot. It separates an emergency from a routine booking, says it is an AI assistant, and transfers urgent jobs to a person.

BenefitMore calls end with a name, a problem, and a next step, instead of a missed ring.

See the phone receptionist pilot

03Business workflow automation

ProblemThe same details get typed into the inbox, the spreadsheet, and the job system.

SolutionAutomations that carry a lead, a booking, or an invoice from one tool to the next, using the systems you already run.

BenefitFewer details re-entered by hand, and a handoff your team can see.

Workflow automation

04Lead qualification and follow-up

ProblemAn enquiry arrives as “call me,” and nobody has time to ask what the job actually is.

SolutionThe assistant asks for the work, the place, and the timing, then sends that to you. A follow-up can go out when a quote has had no reply.

BenefitThe first conversation starts from the facts, and quiet leads are less likely to be forgotten.

05AI integrations with your software and APIs

ProblemThe assistant has the answer, then someone still copies the booking into another system.

SolutionWhere your calendar, CRM, or other software exposes a stable API, we connect the assistant so the enquiry lands in that system.

BenefitThe result shows up where your team already works, when the other tool allows the connection.

Business software

In practice

Where this is useful

These are the situations we build for. Named work on this site is limited to the pilot and the assistant running on our own homepage.

A trade, after hours

A burst pipe at night is a different call from a quote for next week. The phone receptionist pilot is built to tell those apart and to reach a person for the urgent one.

A clinic or a local practice

Hours, whether you are taking new patients, and how to book. The chat can answer from your own pages and take a name for the front desk.

A quote that arrives with no detail

Before anyone calls back, the assistant can ask what the job is, where it is, and when it is needed.

A company that is growing past one inbox

The same questions get answered from your documents, and the lead can be written into the CRM or job system you already use.

Process

How an AI project actually starts

We do not switch a business over to an unattended assistant. The work is to find the repetitive part, keep a person on the rest, and test it before customers rely on it.

  1. 01

    Discovery

    We look at the calls, messages, and handoffs that currently slip, and at the tools those details have to reach.

  2. 02

    Boundaries

    We agree what the assistant may answer from your material, and what must go to a person. Emergencies and anything sensitive stay with your team.

  3. 03

    Build

    We train it on your services, hours, and policies, then connect the calendar, CRM, or inbox that should receive the result.

  4. 04

    Test and launch

    We run real questions through it and fix the gaps before it faces customers. After launch, the people who built it stay available as the business changes.

Work

Work you can look at

Two things on this site are real and current. The phone receptionist is a pilot with trades businesses. The chat on our homepage is a working example of the assistant we build, trained on Monorite’s own services. Neither is a finished product for every business.

Pilot

AI phone receptionist

Answers after-hours calls for trades, separates an emergency from a routine booking, and says up front that the caller is speaking with an AI assistant.

Read how the pilot works

Working example

The assistant on this website

The chat on the Monorite homepage is the same kind of assistant we build for a client, answering from this site’s services and projects.

Talk to it on the homepage

FAQ

Questions worth answering first

It can answer from your services, hours, and policies, and it can collect the details your team needs before calling back. Complex, urgent, or sensitive requests go to a person. It is not an unattended replacement for your staff.

Tell us which enquiries should be handled first.

We will say whether a chat assistant, a voice receptionist, or a simpler workflow is the right place to start.