AI Agent Consulting Services
Let AI answer the repeat questions.
Keep your people for the hard ones.
We set up and tune Zendesk AI Agents for support teams across ANZ.
- We agree on what the AI must never answer
- Your agent picks up where the AI stopped
- The build team stays on after launch
Who we work with
Trusted by 300+ organisations across ANZ
The record
- Since 2014Supporting ANZ service teams
- 30%Fewer tickets at Timely
- 1,000+Zendesk solutions delivered across ANZ
- PremierZendesk Premier Partner in APAC
Customer stories
Three ANZ teams that handed repeat work to AI
Eftsure
68%
of support chats resolved by Zendesk AI Agents. Only 14% now reach a person.
“It’s a huge shift from what we used to be able to do and has helped decrease our first response time significantly.”
Sewraj Boodhooa · Head of Customer Support
Timely
3.75:1
→
11:1
Help centre visits per ticket, after a rebuild and an AI chatbot.
“All of these new Zendesk features helped us to calm the operational environment down and start to actually look at quality work rather than fighting fires.”
Lisa Kerr · Head of Global Support
Australian audio tech company
100k
self-service interactions a month through rewritten articles and Mavenoid AI chat. Only 10,000 reach an agent.
“We’ve been using Zendesk for a while but the way the solution works now is completely different from seven years ago. SuccessCX helped us leverage the newer functionality that boosted customer experience.”
Global Head of CX
Where to start
Most teams sit at
one of three stages.
The stage you’re at sets what we review first.
Not sure which? The readiness session will tell you.
You haven’t switched AI on yet
Repeat questions eat the day. Nobody knows which a bot could answer safely.
Take the CX Health CheckWhat we do first
- Find the questions that come up most
- Check your articles can answer them
- Mark the topics a person must handle
You have a bot, and customers go around it
Customers type “agent” first. Answers are stale and the handover drops the chat.
Put the basics back in orderWhat we do first
- Read the failed conversations
- Rewrite the articles it gets wrong
- Pass the whole chat to your agents
AI is working on one channel
Chat handles the simple questions. Now you want email too. Eftsure put AI on supplier support first, then on customer support four months later.
Read the Eftsure storyWhat we do first
- Measure what the AI resolves now
- Extend it to email
- Give agents suggested replies
Who we help
Three roles with a stake in what the bot says.
01
CX leaders and support managers
You want repeat questions gone, without service going robotic.
- Agents type the same answer all day
- Customers wait overnight for simple answers
- No idea what repeats most
02
IT and operations leaders
When the bot gets it wrong, it lands on your desk.
- No rules for what the AI answers
- Integrations rushed after the pilot
- No log of what it said
03
Executive and business leaders
The board wants an AI story. You want one that pays for itself.
- Pilots stuck before production
- Deflection rates with no cost-to-serve figure
- Automation that might lose good customers
What makes us different
An AI agent is only as good
as the service behind it.
So we start there.
What we find sets the AI’s scope and rules.
The team who runs these sessions · Melbourne
What we ask first
01
Which requests repeat enough to automate?
02
What should the AI never answer?
03
When should a person take over?
04
What does your agent see at handover?
Why SuccessCX
Switching on a bot
is the easy part.
The real work is keeping it right as your products change.
Our methodology
The SuccessCX Method,
applied to AI agents.
Discover
Request mix review
We find which requests are safe for AI and which need a person.
What you get
A ranked list of what to automate first.
Design
Agent scope and guardrails
We set the AI’s limits, how it sounds and when it hands over.
What you get
A written scope your CX and IT leads can both sign off.
Deploy and optimise
Launch, measure, tune
We launch in stages, then keep tuning.
What you get
Weekly numbers and answers that stay current.
The people
The people who scope your AI agent
are the ones who tune it.
You won’t be briefing a separate support desk. Changes go to people who already know your setup.
- Paul Bichsel Founder and CEO Focused on the human elements of customer experience, and on saying the unpopular thing early. LinkedIn
- Alver Tuazon Director of Operations Two decades in senior CX leadership, running customer operations teams. LinkedIn
- Hamish Lang Service Delivery Manager Keeps projects moving and makes sure clients see real results from the Zendesk investment. LinkedIn
- Ash Williamson CX Solutions Specialist Turns ideas into working service design, with people kept at the centre of the journey. LinkedIn
- Annalise Wright Project Coordinator Keeps every project on track and every person clear on what happens next. LinkedIn
Start here
Check your foundations
before you add AI.
The CX Health Check scores your knowledge base and data, plus platform, operations and people.
- 01 Take the 5‑minute assessment Short questions across all five pillars. Watch the knowledge ones closely, because that’s what an AI agent will read from.
- 02 Find the weak spot A score for each pillar, so you can see if your knowledge base needs work before a bot starts quoting it.
- 03 Download the report A written read-out to take to leadership, with what to fix before anything goes live.
- 04 Bring it to the session Book a free AI Readiness Session and we start the request mix review from what the report found.
Ready when you are
Find out which questions
your AI agent should answer.
One session shows you where AI pays off.
Some queues shouldn’t be automated. We’ll tell you which.
What happens in the session
01
We review your Zendesk setup and where the volume goes.
02
We map the journeys an AI agent would sit in and benchmark you against the ANZ market.
03
You leave knowing where to start.
AI agent consulting, explained
What AI agent consulting involves
AI agent consulting is the work of deciding which customer questions an AI agent should answer, preparing the knowledge it reads, setting its limits and handover rules, then measuring and tuning it once it is live. SuccessCX, a Melbourne Zendesk consultancy and Zendesk Premier Partner in APAC, does this work for support teams across Australia and New Zealand using Zendesk AI Agents.
What does an AI agent consultant actually do?
Most of the effort sits outside the AI itself. A consultant works through your ticket data, your help centre and the systems an AI agent would need to read from, then turns that into a configuration your team can run.
- Connecting the agent to order, booking or account data so it can answer "where is my..." questions with real information
- Testing replies, refusals and escalation paths against real past conversations before anything goes live
- Setting up reporting inside Zendesk so resolution and handover sit next to your normal ticket metrics
- Showing your agents how to review AI conversations and flag answers that need fixing
If you are still weighing what the platform can do on its own, our Zendesk AI overview covers the native features.
AI chatbot consulting: is a chatbot the same as an AI agent?
Not quite. An older chatbot follows a decision tree. Someone writes every path, and anything off script ends in "sorry, I didn't understand". An AI agent reads your help centre and conversation history and writes its own reply, inside the limits you set.
That changes what the consulting work involves. With a decision tree the job is mapping flows. With an AI agent the job is controlling what it may say: which sources it trusts, which topics it refuses, and the point where it hands over. It also means the agent can work across channels, rather than living in one chat widget.
Email is a good example. At Eftsure, AI Agents now resolve 26% of email queries as well as chat, so customers who never open a chat window still get a faster answer.
AI consulting for customer support in manufacturing
Manufacturers have support problems a software company doesn't. Customers ask about specific models, serial numbers, parts and warranty claims. Some are retailers and some are end users, and they often sit in several time zones.
An AI agent can handle a lot of this well, as long as product knowledge is written per model and the agent can tell a setup question from a fault. Warranty decisions, safety issues and anything that needs a returns approval should go to a person, and the agent needs to hand over with the product details already captured.
For an Australian audio technology company with customers in AU, US and UK, that meant follow-the-sun routing behind the AI troubleshooting chat, so a question the AI can't close is picked up by whichever region is awake. More examples are on our customer stories page.
Frequently asked questions
How long does an AI agent project take?
It depends mostly on the state of your help centre. If your articles already answer the common questions, launch can come quickly. If they need rewriting first, that work sets the pace. The number of channels, the integrations the agent needs, and how long your IT and legal reviews take also matter. We usually launch one channel first and extend from there.
How much effort does AI agent consulting need from our team?
Less than a full build, but more than none. You need a support lead who can sign off on what the AI handles and refuses, someone from IT to approve data access and integrations, and subject experts to check articles in their area. After launch, your agents spend a little time flagging wrong answers so they can be fixed.
How much does AI agent consulting cost?
The cost depends on scope rather than a fixed package. The main factors are how many channels the AI covers, how much knowledge needs rewriting, which systems it has to connect to, and how much tuning support you want after launch. Your Zendesk AI licensing is a separate cost to plan for. A free AI Readiness Session shows where AI would pay off in your setup, which makes the cost conversation much more concrete.
Do we need to be on Zendesk?
Yes, for this service. Our AI agent work is built on Zendesk AI Agents, along with partner tools such as Mavenoid that run alongside it. If your support still runs on another platform, the first step is moving it across, and our Zendesk implementation team can plan that with the AI rollout in mind.
Can you work with the bot or Zendesk setup we already have?
Yes. We start inside your existing Zendesk instance, with the triggers, macros, views and help centre you already rely on. We keep what works and change what blocks the AI, such as articles that contradict each other or routing that drops context. You don't need to rebuild your setup to add an AI agent, and your current bot's history shows where to begin.
Does AI agent consulting improve customer experience, or just cut costs?
It should do both, and the customer side is where most of the design work goes. Customers get instant answers to simple questions, and a person picks up anything sensitive with the conversation already in front of them. On capacity, Eftsure projects its AI rollout will increase operational capacity by about 10 full-time employees in 2026. We treat that as time your team gets back, not as a cut to your support staff.