AI integration services
AI integration means putting AI inside the tools and apps a business already uses, rather than in one more tab nobody opens. Hello Portal offers AI integration services from Brisbane.
It suits a team that already works in tools such as Google Workspace or Microsoft 365 and wants AI in them. The same goes for the apps your business runs.
What AI integration means
The phrase is used loosely, so here is how Hello Portal uses it. AI integration is the work of connecting AI to the software a business already has: the email and documents, the chat, the customer records, the website. The point is that nobody has to leave where they work to use it.
It's one of two AI services at Hello Portal. The other, AI media generation, is about images and video.
AI in the tools your team already uses
Plenty of teams live in Google Workspace and Microsoft 365, talk in Slack and keep their notes in Notion. Hello Portal can bring AI into the tools your team already uses, and connect them to AI services such as OpenAI and ChatGPT. Many other products can be integrated too.
Tools like these hold a lot of a business's day-to-day work: the drafts, the threads, the meeting notes. That's the place to look when asking where AI could help.
AI in your apps
AI can also sit inside the apps a business runs. That's AI app development: adding AI features to an app you already have, or building a new one with them from the start. Tell us what the app should do for your customers or your team.
For a new build, the app development page covers the rest of the work.
Connecting your business systems
Customer records, orders and enquiries often sit in systems such as HubSpot, Salesforce, Shopify or WooCommerce, or in plenty of other products, and integrations can be built with a wide range of them. AI automation, here, means handing routine, repetitive tasks to software.
Take an enquiry that arrives by email and has to be copied into a customer record by hand. That kind of repeated step is the sort of task this refers to.
Choosing where to start
A first use doesn't need to be ambitious. A task that repeats often, has a clear right answer, and doesn't do much harm if the result needs a second look is a sensible place to begin. Writing a first draft of a routine reply, or sorting incoming enquiries, are the kind of thing people usually have in mind. Each team's list will differ, which is what the first conversation is for.
What AI integration can involve
In general terms, a job in this field looks at these things:
- which tools the team uses day to day, and where the repetitive work sits
- which of those tools can be connected, and how
- where AI could take on a task, and where a person should keep doing it
- how the new connection is built, tested and handed over
Exactly what a job includes is agreed in conversation. This list describes the field and isn't a fixed list.
How an AI integration job runs
The stages are similar from one job to the next.
- A conversation. How the team works today, and where the time goes.
- A plan. Which tools are involved, what AI should do, and what stays with people, all agreed before anything is built.
- The build. The connection is made, whether inside a tool or an app.
- A trial. The people who'll use it try it and say what's off.
- Handover. It goes live. What happens after that is worth discussing before the build starts.
Each job is quoted on request.
An example, in outline
This is an illustration, and not a client story. Picture a team whose customer enquiries arrive by email, with someone copying the details into a customer record by hand. A first conversation would ask which tools are involved, which steps repeat, and which parts a person should keep doing. Where AI fits, if it fits at all, comes out of those answers.
Who this suits
AI integration suits a team that:
- already uses tools such as Google Workspace, Microsoft 365, Slack or Notion
- runs customer records or orders through a system such as HubSpot or Shopify
- has an app that could use AI features
What to bring to the first conversation
Helpful things to bring:
- the tools your team uses most, and what each is used for
- the tasks that repeat and eat time
- any app you already run, and who uses it
- questions about data and privacy, since it's better to raise them at the start
Questions worth asking any AI integration provider
AI in a business's own tools raises a few questions worth asking early. They apply to Hello Portal too.
- Where does our data go, and who can see it? Ask which tools hold it and what their terms say.
- What does the AI do, and what stays with a person? The boundary should be clear.
- What happens when it gets something wrong? Someone needs to notice and fix it.
- Can it be switched off? A connection that can't be undone is a risk.
- What does set-up cost, and what does keeping it running cost? Both belong in the answer.
How AI integration fits with the other services
AI integration often follows from the app development page, when an app needs AI features inside it, or from a team's existing tools. It's one of two AI services. The other, AI media generation, covers images and video.
AI integration terms in plain English
- API.
- A way for one piece of software to ask another for information or send it instructions.
- CRM.
- A customer relationship management system, the place a business keeps customer records. HubSpot and Salesforce are examples.
- Workflow.
- The sequence of steps a task goes through, from start to finish.
- Large language model.
- A type of AI that works with text. The AI behind ChatGPT is one.
- Automation.
- Software carrying out a repeated task so a person doesn't have to.
Questions about AI integration
What does AI integration mean?
It means connecting AI to the tools and apps a business already uses, so people can use it where they already work.
What is AI automation?
Here it means handing routine, repetitive tasks to software. Which tasks suit that depends on how your team works.
Can AI work inside Google Workspace or Microsoft 365?
Hello Portal can bring AI into tools such as these, and connect them to AI services such as OpenAI and ChatGPT. Many other products can be integrated too.
Do we need to change the tools we use?
The idea is to work with the tools you already use, not replace them. Tell us what the team works in today.
What happens to our data?
How data is handled depends on the tools and the set-up, and it's a fair thing to ask early. This page doesn't make promises about it. Raise it when you get in touch.
How much does AI integration cost in Australia?
AI integration is quoted per job, on request, because it depends on the tools and the job. A conversation about your team's work is the first step.
Is this the same as AI media generation?
No. AI media generation is images and video. AI integration is AI inside tools and apps.
Where to start
Tell us how your team works today, and we can talk about where AI might fit. It may be one small corner of the work.
Product names are trademarks of their owners and are used as examples only. Their mention does not mean any partnership or endorsement.