Your AI Growth Department
Your AI workforce, managed for you
We build your AI employees, run them every day, watch them, fix them and improve them every month. Your team gets the time back. Nobody on your team has to babysit AI.
Most AI doesn't fail at launch. It fails in month three.
The demo works. Then a portal changes its layout, a process gets updated, the person who set it up moves on, and nobody owns it anymore. Your team ends up babysitting the tool that was meant to save them time, or quietly working around it.
AI is not a one-off install. Someone has to watch it, fix it and improve it every month. With a managed AI workforce, that someone is us.
Meet your AI team
Every face here is an AI worker. Each one has its own job. Your Fractional AI Officer works out which ones you need, then we build and run them for you. They take the grind; your people keep the judgement and the final say.
Managed AI Workforce
AIQuoting
AITeam inbox manager
AIAccounts
AIOperations assistant
AISocial media
AISales calls
AICustomer care
AIAlice · AI receptionist
AISarah · Lead reactivation
AIRosie · AI virtual assistantmore
one
Also on the team: quoting, team inbox management, operations support, sales calls, customer care, accounts, social media and many more.
Answers every call, day or night
Books the appointment and sends your team the details.
Meet Alice →Follows up every lead in minutes
And wakes up the old enquiries sitting in your database.
Meet Sarah →Clears the back-office admin
Logs into your systems and does the re-keying and paperwork.
Meet Rosie →What managed actually means
Built for your business
Each AI worker is set up for your systems, your rules and the way your team works.
Runs every day
On its own login, inside your software, on the hours you set.
Watched
Our managed services team monitors every AI worker, so problems are caught before your team notices them.
Fixed
When a portal, form or process changes, we update the AI worker. Your team doesn't have to.
Improved monthly
Every month we tune what's working and add the next job worth automating.
Reported
A monthly AI Workforce Report shows the hours given back, task by task, and what's next.
What goes wrong with unmanaged AI, and how we stop it
AI doesn't sit still. Usage climbs, models get retired, apps change, connections drop, and someone has to stay on top of it. Here's what we manage so you never have to think about it.
AI usage spikes: a surprise bill, or a limit hit and everything stops
We monitor usage and spend, set alerts well before any limit, optimise token use and right-size the AI model for each job, so costs stay predictable and work doesn't stop mid-month.
The AI model changes and everything stops
AI providers update and retire models all the time. We track those changes and test your AI workers on the new model before the switch, not after something breaks.
A connection quietly expires
Logins time out and connections between systems expire or drop. We monitor every connection, get alerted when one fails, and reconnect it before the work piles up.
An app changes or starts blocking bots
New screens, moved buttons and new bot checks can stop an AI worker mid-task. We spot it and update the AI worker, use the provider's approved connection where one exists, or hand that step back to a person. Every change is logged and can be rolled back.
The data doesn't come back right
A report is blank, a field is missing, a system sends something unexpected. AI workers check what they receive and flag anything that doesn't look right instead of guessing.
AI going off the rails
Every AI worker runs inside guardrails: clear rules, limits on what it can and can't do, and a person signing off on anything that matters.
An email designed to trick the AI
AI workers only get the access their job needs, treat what's inside emails and documents as information, not instructions, and send anything unusual to a person.
Passwords and keys in the wrong hands
AI workers need logins to do their jobs. Credentials are stored securely, never in emails or spreadsheets, given only the access each job needs, and changed or removed when they should be.
Losing the setup
Each AI worker's instructions and settings are version-controlled and backed up, so it can be restored quickly if anything goes wrong.
You'd never run your IT without monitoring, backups and change control. Your AI deserves the same.
Want your AI looked after like this?
Your AI Game Plan shows which AI workers would pay for themselves first, and how we would run them safely for you.
Book an AI Game Plan
A managed services team, one accountable person
Your AI workforce is looked after by the Third Vision managed services team: the people who monitor every AI worker, fix what needs fixing and make the improvements each month. It's overseen by one accountable person, your Fractional AI Officer, Allan Lindhardt, with 25+ years in IT and cyber security, who decides which AI workers are worth building, keeps them safe and answers for the results. No handover document and an hourly rate for "support".
Meet your Fractional AI Officer →Safe by design, client files hosted in Australia
AI workers that handle your client files run on secure computers hosted in Australia, and we'll show you exactly where each piece of your data lives.
- Every AI worker has its own login and only the access it needs.
- Every action is logged: what was done, when, and by which AI worker.
- Anything that needs judgement goes to a person.
- Your AI policy and governance are set up first, so your team knows what is safe.
Client files, hosted in Australia
AI workers that handle your client files run on secure computers hosted in Australia, looked after by our managed services team and overseen by your Fractional AI Officer.
Managed AI workforce vs doing it yourself
| Doing it yourself with AI tools | A managed AI workforce | |
|---|---|---|
| Who builds it | Whoever on your team has time | We do, for your systems |
| Who watches it | Usually nobody | Our managed services team, every day |
| When something changes | It breaks until someone notices | We fix it |
| Security and data | Depends on the tool's defaults | Client files hosted in Australia, own logins, set permissions, every action logged |
| Getting better | It stays as it was set up | Improved every month |
| Proof it's working | A feeling | A monthly report, task by task |
What a managed AI workforce gives back
Hours are the time a person would take to do the same tasks, counted task by task in our monthly AI Workforce Reports.
From first conversation to a running AI workforce
Your AI Game Plan
We map where the time goes and show your top three AI wins, in dollars.
Your first AI worker goes live
Usually within weeks, tested on your real systems.
Your team works alongside it
Everything documented, nothing a black box.
We run it and add the next one
Monthly report, monthly improvements, the next AI worker when it pays.
Frequently asked questions
What is a managed AI workforce?
A team of AI workers that a specialist builds, runs, monitors and improves for you, inside the systems your business already uses. You get the work done; the provider owns keeping it working.
What are managed AI services?
Managed AI services means someone else takes responsibility for your AI after it goes live: monitoring it, fixing it when things change, keeping it secure and improving it each month. At Third Vision, those services come as named AI workers, run by our managed services team and overseen by your Fractional AI Officer.
Do my staff need to manage the AI?
No. Your team works alongside the AI workers and signs off on what matters, but our managed services team runs, watches and maintains them. Nobody on your team has to babysit AI.
What happens when something breaks or our systems change?
Our managed services team monitors every AI worker, so most issues are caught before your team sees them. When a portal, form or process changes, we update the AI worker as part of the service.
How do you stop AI costs from blowing out?
We monitor every AI worker's usage and spend, set alerts well before any limit, and match each job to the right-sized AI model. You get a predictable monthly cost, and work doesn't stop mid-month because a limit was hit.
What stops an AI worker from going off the rails?
Guardrails. Each AI worker has clear rules, limited access, and a person who signs off on anything that matters. Every action is logged, changes are tested before they go live, and every setup is backed up so it can be rolled back.
Where is our data hosted?
AI workers that handle your client files run on secure computers hosted in Australia. Every AI worker has its own login and only the access it needs, every action is logged, and we'll show you exactly where each piece of your data lives.
How is this different from buying AI tools?
A tool gives you software and leaves the rest to your team. A managed AI workforce gives you the finished work: built for your business, run every day, fixed when things change, and reported on every month.
How much does a managed AI workforce cost?
Each AI worker is a fixed monthly fee, set once we know which ones are worth building for you. That starts with your AI Game Plan ($497 + GST), which shows your top three AI wins and the dollar return on each before you commit to anything.
Will AI workers replace our staff?
No. They take the repetitive work so your people can focus on clients, decisions and growth. As you grow, they take on the extra volume, so you don't need to hire just to keep up.
Find out which AI workers would pay for themselves first.
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Your AI Growth Department
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Phone Numbers
+61 2 5700 6333 (AI Receptionist Sydney)
+61 8 7744 6333 (AI Receptionist Perth)
+61 435 332 320 (Mobile)
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